1. This video is the latest test using my "tree stacking" method which allows a sliding window of hundreds of thousands of frames to be stacked, and this process repeated to create a time series.

    Each of the frame in this video takes the best, most vibrant image data from 400 adjacent frames. normally this process would require the processing of 400 stills, FOR EACH frame of the video. That is to say, processing nearly 500,000 stills! The tree stacking process reduces this effort greatly, and requires less than 15,000 stills to be processed. This allows the series above to be generated in hours or minutes rather than days or weeks.

    Music: Thulium by Arastoo (freemusicarchive.org/music/Arastoo/Warmth_In_Digital/12_Thuliummp3)

    # vimeo.com/84984713 Uploaded 1,059 Plays 5 Comments
  2. In this time lapse, a small bead of Aluminum-Gallium-Mercury amalgam in introduced to the top of the aluminum bar. The gallium permeates the aluminum and the mercury disrupts the formation of the protective aluminum oxide ( sapphire ) coating that normally inhibits corrosion.

    Without this oxide coating, the aluminum is rapidly oxidized ( i.e. rusts ) several thousand times faster than iron.

    # vimeo.com/32527397 Uploaded 4,065 Plays 1 Comment
  3. In this time lapse, a small bead of Aluminum-Gallium-Mercury amalgam in introduced to the top of the aluminum bar. The gallium permeates the aluminum and the mercury disrupts the formation of the protective aluminum oxide ( sapphire ) coating that normally inhibits corrosion.

    Without this oxide coating, the aluminum is rapidly oxidized ( i.e. rusts ) several thousand times faster than iron.

    # vimeo.com/32525601 Uploaded 8,393 Plays 0 Comments
  4. OK, so its not the next inde film... but for a couple people it might be interesting stuff. This is a movie of CCD noise over time. I noticed that some of my time lapse work seemed to get more noisy over the hours. So I took about 500 shots in total darkness over a 15 minute period. The raw shots were, as you would expect, black.

    I amped up intensity by about 30x so as to bring out the bottom 3-6% intensity and make the noise visible. Then I used edge detection to turn single lit up pixels into small dots more easily seen.

    Its sort of hard to see, but over the run time of the clip you can see the noise increases over time. You can also see about a half dozen hot or stuck pixels. This, I plan, to use as a means of incorporating hot / stuck pixel mapping and adjustment to SBG. So worth the time.

    As a practical matter, this underscores the need for camera manufacturers to consider heat dissipation in their devices as a more than superficial matter. From the graph of noise over time, which roughly corresponds to the heat up of the camera, we see a 400% increase in noise! That's 1 or 2 stops! This also means that cooling the camera would drastically reduce noise. This, of course, has been known by astronomers for decades.

    Anyway, hope this is interesting to someone other than me.

    # vimeo.com/817772 Uploaded 318 Plays 0 Comments
  5. Shows how Magick++ rotates an image. The canvas is extended ( the white region ) by the rotate() operation, but also its possible to shrink below the original width / height. You need to use extent() to add back the lost width ( the black regions ). Depending on the width, it is possible the width is an odd number, meaning that its not possible to preserve the central position of the image. The extent() function can be used to pad the image back to its original width, however its still possible the central axis of the image is shifted by a pixel in both or one direction.

    The series is generated by:

    load( image )
    rotate()
    extent()
    crop()

    cropping back to the original size of the images as loaded.

    # vimeo.com/740283 Uploaded 287 Plays 0 Comments

Bob's Time Lapse Experiments

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My more experimental time lapse shots - they demonstrate successes, failures, etc.

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