Adaptive disparity estimation and intermediate view reconstruction for multiview 3D imaging system

Kyung-Hoon Bae; Song-Taek Lim; Eun-Soo Kim

doi:10.1117/12.468021

23 May 2002 Adaptive disparity estimation and intermediate view reconstruction for multiview 3D imaging system

Kyung-Hoon Bae, Song-Taek Lim, Eun-Soo Kim

Proceedings Volume 4660, Stereoscopic Displays and Virtual Reality Systems IX; (2002) https://doi.org/10.1117/12.468021
Event: Electronic Imaging, 2002, San Jose, California, United States

Abstract

In this paper, a new 3D intermediate views reconstruction technique using an adaptive disparity estimation algorithm is proposed and its performance is analyzed by comparison to that of the conventional disparity estimation algorithms. In the proposed algorithm, in order to effectively synthesize the intermediate views the matching window size is selected according to the feature value of the input stereo image. By doing this, the mismatching probability of the disparity can be reduced through coarse matching in the similar area and fine matching in the area having large feature values such as in the edge part of object. From some experimental results, it is found that the proposed algorithm improves the PSNR of the reconstructed intermediate views about 3-4 dB on the average than that of the conventional algorithms.

Citation Download Citation

Kyung-Hoon Bae, Song-Taek Lim, and Eun-Soo Kim "Adaptive disparity estimation and intermediate view reconstruction for multiview 3D imaging system", Proc. SPIE 4660, Stereoscopic Displays and Virtual Reality Systems IX, (23 May 2002); https://doi.org/10.1117/12.468021

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KEYWORDS

Reconstruction algorithms

3D displays

3D image processing

Imaging systems

Stereoscopy

3D image reconstruction

3D vision

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