Ed Schlotzhauer

An artists journey

Tag: art

Photographing the Unseen
Photographing the unseen? That is impossible isn’t it? If you can’t see it, how could you take a picture of it?
Ostranenie
Osranenie is a concept. It is based on showing things in a new way, from a new point of view. I have written on this before and I want to circle back to give some practical applications. No, I still don’t know how to pronounce it.
Central to the concept is that the artist tries to force the reader or viewer outside of their normal state of perception. The goal is to make you break your normal habits and look at things different.
A unique ability of photography
Photography is uniquely suited to help see things outside of our normal perception. Other types of art, like painting, are generative. That is, you start with a blank canvas and what appears is what the artist envisions.
Photography is totally the opposite. It is basically subtractive. The camera captures everything in its field of view. It is up to the artist to be selective in framing and composing to restrict the image to what he wants to present.
That is well understood, but in addition, the camera settings and attachments allow exploration of states that we cannot perceive with our normal sight. Without any special tricks, my camera allows shutter speeds from 1/8000th of a second to 30 seconds. And the long exposures can be extended to any length I desire. I can also change lenses to give different perspectives on a scene.
Photography may be, at heart, a mechanical and technical based art, but that technology allows us to peek into the world in unique ways.
Camera vs eye
As humans, our marvelously designed eyes work in a totally different way than a camera. We constantly scan around and “snapshot” small slivers of our field of view. Our minds seamlessly stitch this constantly changing stream of images together, kind of a real time panorama. We don’t notice it happening. What we think we “see” is actually a model built from these scans and our interpretation of its meaning and our experience with similar subjects.
The camera has no built in biases. It just represents what it gathers in one exposure.
Time extremes
I have mentioned time as a variable of photography. But so what? How can that give us a new perception?
If I adjust my camera to take a frame at 1/8000th of a second, it does it. The result is a frozen slice of an instant that we cannot perceive with our normal vision. A cascade is a classic example. Shooting at a very short shutter speed freezes the motion of all the water and allows us to examine what is truly happening in an instant. All the complexity and the turbulence we cannot perceive.
On the other extreme, if I expose it for seconds, the water will blur into streaks that give an impression of the overall motion going on. We sort of understand that this is what it might look like over time, but we can’t actually see it unless we take a picture.
Here are a couple of (not very good) examples. Actually, I seldom use short shutter speeds on water so I had to go out to the local river and generate an illustration.
Short shutter speed, 1/4000th second
Long shutter speed, 1/10 second
In the first case, the water seems crystal-like, frozen. In the second case there is a distinct impression of motion and flow. The point in each case is that this is not what we actually see when we’re looking at the waterfall. Each is a bending of our perception, revealing new views on the world to us.
Space
Our cameras also have the ability to give us different perspectives on the space around us. Our eyes have a fixed focal length that is around 40-50mm equivalent for a 35mm camera. And we see the world in a horizontal format. But we can put a variety of lenses on our cameras to give views from extreme wide angle to extreme telephoto. And we can rotate our camera in different orientations.
We’re used to seeing our “normal” point of view – that’s why 50mm is called a “normal” lens. A wide angle stretches our view, Things converge in unexpected ways. Lines make distinct new compositions. Buildings “bend” in funny ways. It brings together much more width of view than we are used to seeing.
And the opposite, a telephoto lens, compresses our view. It narrows in on a small area, like when we look through binoculars. It gets us closer to something we would not normally be close to, such as a wild animal. And it lets the artist draw our attention to details of small parts of a scene.
Each of these effects is a distortion or exaggeration of our perception. It is not what we actually see, but it allows us to discern the world around us in new ways.
Motion
Our perception of motion is another effect the camera can record but that we perceive much different. Try an experiment: move your head rapidly from side to side. You don’t really notice much as your head is moving. As soon as you stop you have a clear view of the scene before your eyes. Our mind kind of “skips over” the motion.
Or try another experiment: stand beside a road and start straight ahead as cars go by. What do you notice? Something obscures your vision briefly, but we tend to ignore it. It’s more of a distraction to what we are watching.
The camera, though, sees all that passes in front of it. It doesn’t know to ignore some things as immaterial. I often use the technique knows as intentional camera movement (ICM) to achieve reality distortions to show the world in new ways. The image at the top of this article is such a motion capture. You know what the scene is, but you also know that you have never actually seen the world like that. It helps you think of it is a different way.
Color
Another thing we have excellent control of now is color. More or less, change the hue or saturation – it’s easy with our tools. These things could not have happened in early photography.
I feel the need to single out one significant category of color manipulation that we are very familiar with. Black & white. This is not the way we see the world. By presenting an image without color information, our perception is changed drastically. It keeps us from getting distracted by color and helps us to really look at the shapes and tones and forms in the scene.
We don’t produce a black & white print now because we are limited by the medium. A black & white print got there by the artist deliberately deciding to remove the color. We may not think of it this way, but black & white images are a deliberate distortion of our perception to help give us a new point of view. It is an alternate reality.
Bending reality
Photography has the ability to bend reality in many ways. That is one of the things I love about it. I am not ashamed of it. It is not cheating or an artifice. It is using our creativity to create art.
I think this quote expresses it well:
In our time it seems entirely appropriate that the widest choice be open to artists. Those using the camera or other photographic means to produce works of artistic merit should seek to exploit their medium in the most adventurous ways … The derogatory use of the term artifice is more often than not a bugaboo. Art is artifice. Its reality is of another nature than that of the purely physical world.
Aaron Scharf
A different perspective
I really appreciate that photography has abilities to give us different perspectives on the world. I am tending to push in these directions more and more in my work. Of course, artists in other media can do most of these things, but they would have to either have an amazing ability to visualize the unseen, or they would likely take a picture to show them the unknown and then paint it. Photographers do it directly.
Maybe it is stretch to call this bending of perception ostranenie, but I don’t think so. I doubt if the term will ever catch on. Probably a good thing, because then I would have to learn to pronounce it.
There are few actually new things in the world. The idea of ostranenie was penned in 1917 – 106 years ago as I write this. But I am happy that photography lets us push the boundaries into new visualizations of reality. It is a uniquely capable art form.
Let’s go out and shoot the unseen and impossible! Keep on bending! Get outside of normal perception.
March 22, 2023
Created by Me
Generative AI is all the rage now. I suppose there might be some applications for it, but you will not see any of it in my work. What I show is entirely created by me, and I have no plans of ever changing that.
It’s all around
The news is full of hype about ChatGPT and Bard and, for images, DALL-E 2. Tech companies are inventing hundreds of billions (yes, “billions”) in it, so it must be about to take over everything, right?
It is hard to read anything without seeing references to the coming revolution. It is the “next big thing” in tech. MIcrosoft, for instance, has invested huge in ChatGPT and says it will embed it in its browser and all of its applications. With so much press and money and interest, it must be true, right? Maybe.
But do you understand what it is?
What is AI?
I have said before that I am a reforming Engineer. Well, I must admit that at one time I was involved in AI applications. I even believed in it at the time. That is just to say I have some technical background in the subject, so I am not just quoting press releases.
“Artificial Intelligence” is a weird term. It is definitely artificial. Whether or not it represents intelligence is debatable. To me, there is no real “intelligence” involved. It is just a fancy computer algorithm with a lot of data embedded in it.
The AI that is hyped today is called neural networks. It is based on a fairly simple structure that tries to mimic the way the human brain is organized by simulating neurons and synapses. Then they train the network with huge sets of data. The connections and values of the neurons and synapses are adjusted to give a desired output for a given input.
To over-simplify it, imagine a patient teacher trying to train a neural net to recognize an egg. They “show” it a picture of an egg and say “this is an egg” and let the network adjust its values to give a positive output. Then they show it a picture of something else and say “this is not an egg” and again let the network adjust its values to give a negative output. Repeat it over and over thousands, maybe millions of times with different pictures. Eventually the neural net would get pretty good at identifying an egg, if the training data was good enough and extensive enough.
But so what? The AI does not at that point know what an egg is. It just classifies shapes as being one or not.
What is the good of it?
We are discussing generative AI, so I will try to focus on that. Generative AI takes a request to make a picture or song or some such work, maybe based on the style of another artist. You could say “make a picture of a tree in the style of van Gogh”. It would make one. It would probably look like something Vincent might have done.
If you were generating the image for an advertisement, you might be able to simulate a certain style without the encumbrances of creative fees or intellectual property laws. For you, the user of the image, you get to bypass paying the artist. Or maybe, charitably, you get something you wish the artist had created, but they did not.
Many companies are very eager to have AI trained to be able to produce minimally acceptable results faster and cheaper than a human. Be aware of those companies that want to get rid of their people and replace them with minimal acceptable results. Have you used an AI-based chat agent to try to get support from a company? My results have been way below minimum acceptable. Maybe search engines is the best application for these bots. Most of the search results already can’t be trusted.
So for someone wanting something cheap for a practical use, it can be a good thing.
Is it art? I have my opinion, but let’s get to that in a minute.
What are the limitations?
Neural network-based AI only “knows” what it is trained to do. Its abilities are limited strictly by the data it is fed. And I used “know” in quotes because, one of the great limitations of this system is that it doesn’t know what it knows. It doesn’t even know what knowing is.
AI cannot explain it’s actions. The data compressed into its network has been stripped away from its source. This is going to become one of the major limitations that will cripple it or stop it’s use. So, for instance, when an AI system turns you down for a loan, you cannot force it to explain why. All it can say is that you just didn’t meet the pattern. Lawsuits will come of this.
And it may produce wonderful seeming results, but it is a cheap trick. AI products are a regression to the average, at best. That is, a large set of training data defines the average of whatever domain is being learned. This is all it knows. It does not understand the difference between unacceptable and acceptable and exceptional results. It does not understand the concepts behind what it is doing at all.
So when you ask it to make a picture of a tree in the style of van Gogh, its data bank has many images of trees. It has encodings of parameters describing patterns of van Gogh’s style. It can mix them and make something. But it can’t step back and say “Wow, that is great. I’m proud of that! That is good art.” There is no more feeling than a tax form.
Where does the training data come from?
This is a little off topic of the quality of the results, but have you considered where this huge volume of training data comes from? Google, Meta, Amazon, Microsoft and many, many others, including your Government, collect and use all the information they can find . This includes public data like Wikipedia or the Library of Congress, but also everything they can scrape up about you. So every network search you have ever done, every web page you have ever visited, all of your email, all of your pictures, your contacts, your contacts contacts, every post you have ever made, your facial images, your job, your salary, your spending habits, all of your telephone calls, everything is just free data to them.
This is all used without your permission or control. So for an artist, for example, all of their online works can be used to train the AI to do better to try to replace them. And with no compensation or attribution.
There is currently no accountability for AI or the companies profiting from it. It has been proven that much of the training data used was biased or incorrect, producing bogus responses from ChatGPT. And Google’s Bard got a black eye the day it was announced when it gave false information to a query about the Hubble telescope. No accountability, no ability to explain.
A passing fad?
One part of me thinks AI is just another passing fad. It has come and gone before. AI was going to revolutionize the world about 20 years ago or so. It died. Now the pundits are enamored with it again. Most of them are too young to realize it died of natural causes already. But venture capitalists and tech gurus are very quick to throw billions of dollars at “the next big thing”, even if it has been unable to generate any money.
But no, I’m afraid we will have to live with this for a while. Too many billions have been invested for it to die soon. And it can show some limited tricks. Either you believe AI is a higher and more perfect form of life that will make the world better or you don’t. I don’t.
Not on my watch
Lots of rambling, but back to the adoption of generative AI. As far as I can see, I will never use this in my art. This is not like the introduction of digital imaging, where film purists wailed about the passing of a wonderful era. This is not a technology shift, it is a tool that plans to eliminate artists.
I will use useful tools, like sky selection in LIghtroom or Photoshop, but that is just a force multiplier to get my job done quicker. I could do the same thing myself and I can often get better results. It is like a woodworker using a planer to smooth a tabletop quickly rather than spending hours sanding it. You don’t say the tool created the piece of furniture.
When you see images from me, they were created personally by me. I don’t and do not plan to use AI to create my art. I don’t think art created by AI is really art, but that gets into the argument of what art is. What I call art is only created by humans.
Call me a Luddite, but I believe only humans can actually create.
March 1, 2023
Perfection
For an artist, I believe perfection is a false goal. It can lead us to spend our energy in the wrong places. This seems especially true for photographers. Our technology-based art can lead us to believe technical perfection makes good art. It doesn’t. At least, not by itself.
An absolute
I am a recovering Engineer. I know a lot about specs and technical details and I am naturally drawn to “perfection”, whatever that is. As photographers, we tend to be pulled this direction. Are there any overexposed highlights? Do the shadows contain some information and very low noise? Did the lens and sensor resolve every bit of detail that could be used? Was “proper” technique used to maintain total sharpness and low noise? Did it follow the “rules” of composition?
More and more I am convinced these things are relatively unimportant compared to the impact of the image on the viewer.
Normal people view and enjoy prints at a distance of about 1 1/2 times the diagonal measure. Photographers tend to press their nose right against the print to try to see any imperfections. Yes, I do too at times. But this is not realistic or very important for normal viewers.
One of the themes I enjoy at times is images that have super high detail. Images about complexity and texture and the details of the material. I have good equipment and I am OK at using it, so I can do that whenever I want. Some subjects seem to lend themselves to it. But I don’t think I have any images that I consider great solely because of their technical perfection.
A moving goal
And what is “perfection”? Who defines it? Is such a thing achievable?
Our technology is constantly improving and pushing the boundaries back. The camera I use now is vastly better than the one I used 10 years ago. It has higher resolution, lower noise, and wonderful new features like live histogram view. These things let us achieve ever better results with our craft.
Likewise with printers, drop sizes get smaller, allowing for sharper prints, inks get better permanence, and printers get larger. Along with that software technologies improve all the time. We can upscale and sharpen images with much less artifacts. New algorithms can reduce noise without materially damaging sharpness. It’s a great time to be a photographer.
Is this perfection? Sure, a photographer can put his nose up to a large print and see “perfect” detail, low noise, great edge sharpness, and smooth tonal gradation. Is that what perfection is?
So is perfection the absence of any artifacts and a hyper-realism that looks sharper than real life? That is nice, for some images, but I do not believe it is what perfection is.
Why perfection?
Before I attempt to get in over my head, I will ask why we need perfection? Does it make better art?
I have seen prints by Ansel Adams, Edward Weston, Stiglitz, and many others. Many are stunning and have amazing presence, but not all are technically perfect. At least, by today’s standards. I have also seen many paintings by Monet, da Vinci, Rembrandt, PIcasso, O’Keeffe, etc. Again, I would say that the great ones may not be because of perfection in the sense I have been discussing it.
Craft trumps perfection
Take Ansel Adams for example. He shot mostly 8×10 negatives and spent many hours producing a print. But, the film technology he had was arguably not as good as modern high-end medium format sensors. And his lenses were not particularly good compared to modern designs. Some of his prints are not as technically “perfect” as many artists at their studio today making a print on their Epson or Canon printers.
But there is something else that overrides the technical limits. There is a magic in what he brought out in the printing process. He was a marvelous craftsman. He knew how to work an image until it changed from an average original to a stunning final print. “Moonrise, Hernandez” is a classic example of that. He shot it quickly because he was losing the light. So quickly that he couldn’t find his exposure meter, so he had to guess. Because the negative was badly exposed, it was very difficult to print. It required many hours of work in the darkroom to create a rendition of it. But it became one of his masterpieces. The final print is far superior to the original capture.
As he himself said
A photograph is not an accident it is a concept. It exists at, or before, the moment of exposure of the negative. From that moment on to the final print, the process is chiefly one of craft; the previsualized photograph is rendered in terms of the final print by a series of processes peculiar to the medium.
Ansel Adams
Adams was very good at all the aspects of photography. But in my opinion, it was his craftsmanship that made him rise above most everyone else. He would work a print until it glowed and had a life in it. The tones and contrasts and lighting were amazing. The results he created went far beyond considerations of technical perfection.
Story trumps perfection
I include story here because I believe it is powerful. But in general I struggle some with the concept. In a sense, story happens automatically. If you pause to examine a print for more than a couple of seconds it is natural to build a story. Humans naturally seek meaning and story. Guiding the viewer into seeing a more interesting story is a plus, both for the viewer and artist.
I do prints. Generally single images, meant to hang on a wall. To me, it is difficult to tell an extensive story with one isolated image. Not that it can’t be done, but I don’t see it happen as much as critics and some artists want us to believe. Probably the Engineer in me is still too literal.
But I see examples sometimes that make me wrong. A great one is Henri Cartier-Bresson’s “Place de l’Europe, Gare Saint Lazare, Paris“. Long name, but you’ve seen it:
Place de l’Europe, Gare Saint Lazare, Paris
I think this is a great story captured at, what Cartier-Bresson called “the decisive moment”. As you look at it, you tell yourself a story about what is happening, why he is doing this, what he is thinking, what happens next. It is still a memorable image today, even though it is under exposed, the subject is slightly blurry, and, depending on your notion of proper composition, the guy being about to disappear out of the right frame can be a problem.
It is a great and famous and beloved image. Being technically perfect would not have improved it at all.
Emotion trumps perfection
Emotion is something I have struggled with for a long time. I now believe that if I can’t make you feel something about my print, it is cold and sterile. I believe it so much that I feel that emotion far outweighs technical perfection. This is one reason I have been doing more ICM (intentional camera motion) projects lately. It throws out all notions of sharpness and detail and focuses mainly on capturing a feeling or impression.
Emotion in art has been written about a lot lately, but let me repeat and reinforce it. If I can’t make you feel something of what I felt when I made the image, I have probably failed.
There are techniques for creating an emotional response, but I am not concerned with them here. The fact is, we have to do it. As an artist, I have to share my feelings in an image or there is not much interest for the viewer.
Sharing and being transparent is a challenge for some of us (me). I am learning. The results are apparent to me. An image with a depth of feeling has more impact and staying power. Sigh. I will just have to force myself.
But the point is that an image that touches you emotionally is more meaningful than one that is just technically perfect.
Table stakes
So perfection, mostly technical perfection. Where does it fit? Am I saying it is not important? No. A technically perfect image may be excellent, but not just because it was perfect. It also has to embody emotion and story and excellent craft. Perfection is a table stake. It has to be there in order to get in the game. It is not the game itself. Art has to go beyond technical measures.
Today’s image
Earlier I mentioned ICM as a tactic I have been using occasionally to break away from the feeling I needed technical perfection. This image is an example of that. It is from a series I did called Speeding Trains. The intent is to capture the sight and feeling and power of a huge train speeding by. I hope you like it. Read the artist statement and see the rest on my web site.
February 8, 2023
When Do You Make a Picture?
When do you make a picture? Have you thought about that? On the surface, it seems an ambiguous or simplistic question. I have been asking myself this, though.
Time, place?
I could be flippant and say I make pictures Tuesdays in the canyons west of my home. That is not true, though. I capture images at least 5 days a week, in general. And I make pictures most places I go. There is no special place for making images.
Looking for things to satisfy my curiosity is not about a time or place. Even traveling to an “exceptional” destination is a special case of just making images wherever I am, of whatever interests me, whenever I have a chance.
The click
OK, so you could say I make a picture whenever I click the shutter of the camera. While it is true that the shutter release is the event that causes the recording of the data in front of the lens, I have written before about sometimes needing to think about and process the data before I am done.
When I go out shooting and come back with 200 images on my memory card, does that mean I have made 200 “pictures”? No, but it is a subtle semantic distinction. My answer would be that I have 200 new possible pictures at this point. However, I am going to go through them, cull out the defective ones, decide which of the duplicates I want to keep, and then try to decide if there is any merit in the ones that are left.
When all is done, maybe I would end up with 0-10 that are worth doing something with. Your mileage may vary. Mine does, too, depending on time and place and my mood. Note that I still have to do things with them. In my mind, they are not “pictures” yet, since I am not ready to show them to anyone.
Post processing
So, of course I have to post process the ones I have kept so far. This may only involve simple exposure processing, especially corralling highlights and shadows, color correction, and contrast adjustment. Typically there may be some spotting and minor blemish removal.
At this point I “may” have a picture. For straightforward scenes, this may be enough. I am done. It may be beautiful or interesting and no more than the literal scene before the camera. A lot of pictures are just that.
Deciding what it is and it is going to be
But not always. Sometimes an image is trying to tell me that it is something more. It may take a while for me to hear it. This often manifests as a discomfort I can’t quite identify. A suspicion that I am missing something.
When this happens during the initial culling process, I usually keep the frames I am struggling with. I might not be able to articulate why, but I know I’m not ready to eliminate them yet.
Even after the image is processed and is a nice picture on its own, sometimes it keeps trying to talk to me. Deep down inside, I know I have not understood or brought out all it means to me.
Sometimes I realize I have been capturing images of a certain subject or mood. I may recognize a theme that is emerging. Recognizing it helps me identify and clarify a truth I was not consciously aware of. This could put me on track to follow the idea for a while as a project. With these nagging images in context, I learn more about why they were talking to me. All seems different. Sometimes I don’t even need to modify the images more. Just understanding what I was feeling may be enough.
Combining
And sometimes I recognize an image is an interesting piece, but not complete in itself. I will often file these away as raw material, expecting to revisit it is the future and decide what it needs to say what it wants to say.
There are times when it comes to me and I know that these pieces have to fit together in a certain way to create a new image. This can be satisfying, fulfilling, exciting. It is a true creative journey.
It is time consuming but often very rewarding to spend sessions in Photoshop playing with various combinations of pieces and parts, doing “what if?” games. These often end up in “failure”. Failure in the sense that I did not create a new picture. But it is seldom actually failure because I explored ideas and tested new things. It often sparks new ideas for the future.
Disconnected from capture
This comes around to an idea I have presented before. Sometimes I have to let an image age before it becomes whole. It can take me an indeterminate time to recognize what the image wants or needs to be.
Images are raw material until I become comfortable with how they should be expressed and presented. This is a separate creative process from image capture and a necessary part of how I make a picture. It is not until the end of this journey that I feel I have a picture to share with the world.
Today’s image
The image with this article is a minor example of what I describe. I was fortunate to find this scene late one winter afternoon in what I considered an unlikely place in the back country of northern Oklahoma. I’m a sucker for lone bare trees silhouetted against the sky.
I liked it, but I know it was not “done”. A few months later I added the birds, because I felt they built and reinforced the mood of the image and added some dynamic interest. Just today when I came back to it again after about another 6 months, I saw I wanted to eliminate some distracting foreground elements, crop it to emphasize the sky, and make it overall higher contrast and more saturated. I’m good with it – for now. 🙂
February 1, 2023
Time Builds Perspective
I find that a distance of time often builds a healthy perspective on my images. Sometimes, when the images are “fresh”, the experience of the capture clouds my judgment. Letting them age can build a clearer judgment of them. They can take on a new life.
Let go
I have written that we need to fall in love with our images and capture the emotions we were feeling at the time. That is true, but the experience of the moment is not sufficient to make it worthwhile. I could point to many images in my catalog that bring back great memories. Ones where I felt alive and on fire when I took them.
They will always be meaningful to me, but that does not make them great images. I have to learn to let go of my emotional attachment to them and look at them with detachment. That is the only way to begin to see if they could bring satisfaction to other people.
Be analytical
I have said that we need to balance our emotional side with our analytical side. This is one of those times. Looking at one of my images may bring back a flood of joy or suffering or pain or other feelings. But I must coldly and analytically figure out if I have brought any of that to my viewers.
Just because it was significant to me does not mean it should be to you. This may be the last picture I took of my father before he died, but that doesn’t make it meaningful to you unless it brings out something significant about the human condition.
I may have a group of shots I took in 2 feet of snow in white-out conditions where hardly anyone was dumb enough to be out. The images may be beautiful to me and bring back the experience as a pleasant memory, but what can they convey to you?
If I can’t bridge from personally important to an exciting image from your perspective, it is only a selfie.
Distance
One way to be able to see this is to use time as a distance mechanism. I have found myself instinctively doing this a lot, but it was interesting to see it discussed by Alister Benn, CaptureLandscape’s 2020 Photographer of the Year:
When I turned professional, I suddenly found the time between shooting in the ﬁeld and getting around to processing was extending from a matter of hours, to months, or even years. I have thousands of images I have never looked at since importing them (apart from rating and deleting any obvious weak ones.)
Alister Benn – Luminosity & Contrast
He goes on to describe how this separation helped him by allowing him to view images more objectively. They are distanced from their original meaning. How he perceives and reacts to the image right now is all that matters. Sometimes he looks through old images and “discovers” ones he was cool to at the time that he can now develop into a great image. Seen on its own without the baggage of the emotions of the shoot, it means something new. Distance builds perspective.
See them for what they are
Alister asks how, then, does he decide what images to work on? “Simply, I work the ones that speak to me.” Sitting in front of the computer days, or even months after the shoot, they look different. They have different meaning. A meaning may arise independent of the original context.
He is in a different place – literally and figuratively. He has different feelings and emotions. The images are perceived different. Some become more important. Presumably some become less important. But he is processing them from the point of view of where his head is at the time.
At the time
Interestingly, this means that there could be a kind of ebb and flow to our perceptions. At any given time our feelings will be different. We may be happy, sad, melancholy, reflective, hopeful. How we feel at the time determines how we perceive our images and how we process them.
In a recent article, I suggested an exercise to discover our natural themes: pick your “best” 100 images from your portfolio. Brainstorm descriptive terms. Group those into categories and name them. I also gave the opinion that this was not deterministic, because repeating the exercise at another time could be a little different, because you would pick different images as your “best”.
I think I was discovering the idea that even our portfolio is not a fixed set. There is not necessarily 20 or 50 or 100 images that is fixed in time that represent me. The members can change, not only as we do new work, but as we change our perspective. Time brings new points of view. Distancing our self from the emotions of when we captured the image changes how we view it. We are always growing and learning.
It’s actually exciting for me to look back through old images in my catalog. The excitement is when I have one jump out at me and I look at the way I processed it and say “what were you thinking?” Then I re-process it from a different point of view and create a new, different image.
Example
The image here is an example of this idea. Every time I come back to it, I see something different. Sometimes I love it, sometimes not as much. It is in or out of my portfolio on any given day. The longer I live with it, the more I like it. I am tending to see more layers and ideas swirling through it. Right now I would say it is a definite “in”. It speaks to me.
December 14, 2022