Conference Paper

High-accuracy stereo depth maps using structured light

Middlebury Coll., VT, USA
DOI: 10.1109/CVPR.2003.1211354 Conference: Computer Vision and Pattern Recognition, 2003. Proceedings. 2003 IEEE Computer Society Conference on, Volume: 1
Source: DBLP

ABSTRACT

Progress in stereo algorithm performance is quickly outpacing the ability of existing stereo data sets to discriminate among the best-performing algorithms, motivating the need for more challenging scenes with accurate ground truth information. This paper describes a method for acquiring high-complexity stereo image pairs with pixel-accurate correspondence information using structured light. Unlike traditional range-sensing approaches, our method does not require the calibration of the light sources and yields registered disparity maps between all pairs of cameras and illumination projectors. We present new stereo data sets acquired with our method and demonstrate their suitability for stereo algorithm evaluation. Our results are available at http://www.middlebury.edu/stereo/.

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    • "Scharstein et al. [32] developed an online evaluation platform which provides stereo datasets consisting of the image pair and the corresponding GT data. The datasets show indoor scenes and are created with a structured light approach [33]. Recently, an updated and enhanced version was presented which includes more challenging datasets as well as a new evaluation method [31]. "

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    • "• Structured-light 3D scanners project an infrared structured-light pattern onto the scene. When projecting a pattern onto a three-dimensionally shaped surface, the observed pattern is geometrically distorted [79]. By comparing the expected projected pattern (if no object is in the scene) and the deformed observed pattern, exact geometric reconstruction of the surface shape can be recovered. "
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