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Project Presentation – Week 8

Joshua Michalczak For UCF REU in Computer Vision, Summer 2010. Project Presentation – Week 8. Last Week. Switched to calibrated camera model Was having trouble rectifying images Often off by up to 10 scanlines. Rectification… FIX’D (and now in Technicolor). Disparity.

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Project Presentation – Week 8

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  1. Joshua Michalczak For UCF REU in Computer Vision, Summer 2010 Project Presentation – Week 8

  2. Last Week • Switched to calibrated camera model • Was having trouble rectifying images • Often off by up to 10 scanlines

  3. Rectification… FIX’D(and now in Technicolor)

  4. Disparity • Measuring the amount of movement (in pixels) between the two rectified images • Inversely proportional to the depth of the image (low disparity = far, high disparity = close) • We can do this by “sliding” the left image over the right image, subtracting, and saving the lowest (closest to zero) results • DEMO’D

  5. Disparity cont’d • Essentially, disparity will give us dense correspondence

  6. 3D DEMO’D • Noisy, but not terrible (the “essence” of the scene is captured)

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