Disparity estimation using a region-dividing technique and energy-based regularization

HanSung Kim; Yoonsik Choe; Kwanghoon Sohn

doi:10.1117/1.1766299

1 August 2004 Disparity estimation using a region-dividing technique and energy-based regularization

HanSung Kim, Yoonsik Choe, Kwanghoon Sohn

Author Affiliations +

Optical Engineering, Vol. 43, Issue 8, (August 2004). https://doi.org/10.1117/1.1766299

Abstract

A two-stage algorithm is proposed for locating smooth and detailed disparity vector fields in a stereo image pair. The algorithm consists of hierarchical disparity estimation using a region-dividing technique and edge-preserving regularization. The hierarchical region-dividing disparity estimation increases the efficiency and reliability of the estimation process. At the second stage, the vector fields are regularized with an energy model that produces smooth fields while preserving discontinuities resulting from object boundaries. The minimization problem is addressed by solving a corresponding partial differential equation using a finite-difference method. Experiments show that the proposed algorithm provides accurate and spatially correlated disparity vector fields in various types of stereo images, even in the case of images with large displacements.

©(2004) Society of Photo-Optical Instrumentation Engineers (SPIE)

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HanSung Kim, Yoonsik Choe, and Kwanghoon Sohn "Disparity estimation using a region-dividing technique and energy-based regularization," Optical Engineering 43(8), (1 August 2004). https://doi.org/10.1117/1.1766299

Published: 1 August 2004

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