Adaptive hierarchical stereo matching using object segmentation and window warping

Ho-Keun Lee; Jae-Chul Kim; Yun-Tae Kim; Yeong-Ho Ha

doi:10.1117/12.468051

23 May 2002 Adaptive hierarchical stereo matching using object segmentation and window warping

Ho-Keun Lee, Jae-Chul Kim, Yun-Tae Kim, Yeong-Ho Ha

Proceedings Volume 4660, Stereoscopic Displays and Virtual Reality Systems IX; (2002) https://doi.org/10.1117/12.468051
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

In this paper, we propose an adaptive stereo matching algorithm to treat stereo matching problems in projective distortion regions. Since the disparities in the projective distortion region can not be estimated in terms of fixed- size block matching algorithm, an adaptive window warping method with hierarchical matching process is used to compensate perspective distortions. In addition, a probability model, based on the statistical distribution of matched errors and constraint functions, is adopted to handle the uncertainty of matching points. Since the proposed window warping process is based on a statistical window warping step with the reliability estimation of matching points, any relaxation process need not to use. As a result, overall processing time is reduced, compared with conventional stereo matching algorithm including a relaxation step, and improved matching results are obtained. Experimental results on both disparity map and 3D model view show that the proposed matching algorithm is effective for various images, even if the image has projective distortion regions and repeated patterns.

Citation Download Citation

Ho-Keun Lee, Jae-Chul Kim, Yun-Tae Kim, and Yeong-Ho Ha "Adaptive hierarchical stereo matching using object segmentation and window warping", Proc. SPIE 4660, Stereoscopic Displays and Virtual Reality Systems IX, (23 May 2002); https://doi.org/10.1117/12.468051

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KEYWORDS

Distortion

Reliability

Cameras

Statistical analysis

3D modeling

3D image processing

Image segmentation

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