Generation of a disparity map using piecewise linear transformation

Authors:
Hyejin Kim;Jaewan Choi;Howook Chang;Kiyun Yu
Affiliations:
School of Civil, Urban & Geo-System Engineering, Seoul National University, Gwanak-Ku, Seoul, Korea;School of Civil, Urban & Geo-System Engineering, Seoul National University, Gwanak-Ku, Seoul, Korea;School of Civil, Urban & Geo-System Engineering, Seoul National University, Gwanak-Ku, Seoul, Korea;School of Civil, Urban & Geo-System Engineering, Seoul National University, Gwanak-Ku, Seoul, Korea
Venue:
CIMMACS'06 Proceedings of the 5th WSEAS International Conference on Computational Intelligence, Man-Machine Systems and Cybernetics
Year:
2006

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Abstract

The generation of a disparity map usually requires a pair of precisely rectified stereo images, which implies that the images have epipolar geometry. In many practical cases, it is not easy to obtain a rectified stereo pair without using specialized stereo camera systems. We have proposed a new approach for generating a disparity map from a random stereo pair, called a segment- based piecewise linear transformation. The basic concept relies on the fact that displacements from piecewise image to image registration approximate to the disparity. Using this approach, segmentation of the left image is carried out first, followed by extraction of conjugate points from the stereo pair. Finally, a set of linear transformation functions is determined using least squares method. By applying these functions, the displacement for each pixel is calculated to allow for the generation of a disparity map. To estimate the quality of the resulting disparity map, two stereo anaglyphs, one from the disparity map and the other from the original stereo pair, were produced and compared visually. The results show that the disparity map works well on both uniform and slanted disparity surfaces. An advantage of this approach is that it does not necessarily require stereo rectification, and that it is applicable to any set of stereo images that are not in epipolar geometry.