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CVPR
2001
IEEE

Rectifying Transformations That Minimize Resampling Effects

10 years 11 months ago
Rectifying Transformations That Minimize Resampling Effects
Image rectification is the process of warping a pair of stereo images in order to align the epipolar lines with the scan-lines of the images. Once a pair of images is rectified, stereo matching can be implemented in an efficient manner. Given the epipolar geometry, it is straightforward to define a rectifying transformation, however, many transformations will lead to unwanted image distortions. In this paper, we present a novel method for stereo rectification that determines the transformation that minimizes the effects of resampling that can impede stereo matching. The effects we seek to minimize are the loss of pixels due to under-sampling and the creation of new pixels due to over-sampling. To minimize these effects we parameterize the family of rectification transformations and solve for the one that minimizes the change in local area integrated over the area of the images.
Joshua Gluckman, Shree K. Nayar
Added 12 Oct 2009
Updated 12 Oct 2009
Type Conference
Year 2001
Where CVPR
Authors Joshua Gluckman, Shree K. Nayar
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