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- W1496380590 abstract "rectification with minimum geometry distortion should be pursued. In this chapter, we propose an improved algorithm to minimize the distortion by combining a newly developed projective transform with a properly chosen shearing transform. This new method is equipped with flexibility and can be adapted to various imaging models. Experimental data show that the proposed method works quite well for all the image pairs taken different imaging conditions. Comparison with other available method based on visual inspection and numerical data demonstrates the superiority of the new approach. 2. Background Stereo vision is a technique for estimating 3D structure based on two or more images taken from different viewpoints, and are most often used in robotics and vehicle navigation. Stereoscopic videos are vastly used in entertainment, gaming, simulation, tele-conferencing, and tele-operation to augment the reality of presence. One of the major issues in the application of stereo imagery is correspondenc e problem. The correspondence problem is defined as locating a pair of image pixels from two different images, where these two pixels are projections of the same scene element. Given a point in one image, its correspondent point (or point correspondence) must lie on an epipolar line in the other image. This relationship is well known as epipolar constraint (Faugeras, 1993). It is obvious that knowledge of this epipolar geometry, or codified as fundamental matrix, simplifies the stereo matching from a 2-D area search to a 1-D search along the epipolar line. If the images are acquired from a" @default.
- W1496380590 created "2016-06-24" @default.
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- W1496380590 date "2007-06-01" @default.
- W1496380590 modified "2023-10-16" @default.
- W1496380590 title "Projective Rectification with Minimal Geometric Distortion" @default.
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- W1496380590 doi "https://doi.org/10.5772/4936" @default.
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