Sampling the disparity space image.

Richard Szeliski; Daniel Scharstein

doi:10.1109/tpami.2004.1262341

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Sampling the disparity space image.

Richard Szeliski·Daniel Scharstein

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Abstract

A central issue in stereo algorithm design is the choice of matching cost. Many algorithms simply use squared or absolute intensity differences based on integer disparity steps. In this paper, we address potential problems with such approaches. We begin with a careful analysis of the properties of the continuous disparity space image (DSI) and propose several new matching cost variants based on symmetrically matching interpolated image signals. Using stereo images with ground truth, we empirically evaluate the performance of the different cost variants and show that proper sampling can yield improved matching performance.

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Algorithms Artificial Intelligence Computer Graphics Image Enhancement Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Information Storage and Retrieval Numerical Analysis, Computer-Assisted Pattern Recognition, Automated Photogrammetry Reproducibility of Results Sample Size Sensitivity and Specificity Signal Processing, Computer-Assisted Subtraction Technique Comparative Study Evaluation Study Journal Article Validation Study

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Richard Szeliski, Daniel Scharstein. 2004. Sampling the disparity space image.. https://doi.org/10.1109/tpami.2004.1262341

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