Now, I'll wrap up my thoughts on the Lytro - from my expectations to final workflows and deciding which format to publish.
My photography notes, mostly from Swing Dance camps. These are just notes of my discoveries along the way, or trying to apply what I've seen or heard on the job or in various classes. I don't claim to be an expert or a pro or anything. You've been warned.
Thursday, November 17, 2016
Wednesday, November 16, 2016
Playing With The Lytro Illum 4: Processing Software and Animations
One way to showcase the Lytro's "living pictures" is with an animation.
Like my other entries, I'll go over the difficulties I had trying to wrangle the software.
Like my other entries, I'll go over the difficulties I had trying to wrangle the software.
Tuesday, November 15, 2016
Playing With The Lytro Illum 3: Processing Software and Stills
I found the Lytro Desktop software difficult to deal with, especially compared to established products like Lightroom or even Photoshop. And a lot of my critiques really come down to "Desktop isn't Lightroom" so decide for yourself if you think that's fair.
Monday, November 14, 2016
A Brief Tangent: Computing Depth Maps
I think a depth map is an integral part of the Lytro photo processing. I may express some discontent about this, so I want to back up and talk about what I think are weaknesses in computing depth maps.
Note that Lytro keeps their depth algorithm secret, so I know nothing about Lytro's depth algorithm.
I'll just go over some basics of what I think are the basics of a common algorithm and its problems.
Start with a scene with two cameras (L and R). Each takes an image of the world (this scene has 4 balls with different shades of gray.) We know where our cameras were and what direction they were pointed and we want to use the images to figure out where the balls were. In particular, we want to know their depth.
Note that Lytro keeps their depth algorithm secret, so I know nothing about Lytro's depth algorithm.
I'll just go over some basics of what I think are the basics of a common algorithm and its problems.
Reconstructing a Scene From Two Cameras
Images from two cameras |
Start with a scene with two cameras (L and R). Each takes an image of the world (this scene has 4 balls with different shades of gray.) We know where our cameras were and what direction they were pointed and we want to use the images to figure out where the balls were. In particular, we want to know their depth.
Sunday, November 13, 2016
Playing With The Lytro Illum 2: The Camera UI
Last time, I was discussing the technology in the Lytro Illum. This time, I want to briefly discuss the user interface of the camera.
For starters, the real deal is The Lytro Illum User Manual. Below, I may cite parts of it and/or my own interpretations and use. I'm not going to concentrate on the instructions, but more on what worked and didn't work for me.
For starters, the real deal is The Lytro Illum User Manual. Below, I may cite parts of it and/or my own interpretations and use. I'm not going to concentrate on the instructions, but more on what worked and didn't work for me.
Saturday, November 12, 2016
Playing With The Lytro Illum 1: What is a Light Field?
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This sounds like it would make things easier if I can be sloppy and don't have to worry about focus or aperture when I'm taking the photo, and wait until I edit the photo to decide. But it's a bit more complicated than that. First, I'll discuss what it means for something to be "in focus" in a photo, and lead into what a "light field" is and how I think refocusing works.
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