Abstract
Stereo matching is the process of taking two or more images and estimating a 3D model of the scene by finding matching pixels in the images and converting their 2D positions into 3D depths. In Chapters 6-7, we described techniques for recovering camera positions and building sparse 3D models of scenes or objects. In this chapter, we address the question of how to build a more complete 3D model, e.g., a sparse or dense depth map that assigns relative depths to pixels in the input images. We also look at the topic of multi-view stereo algorithms that produce complete 3D volumetric or surface-based object models.
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© 2011 Springer-Verlag London Limited
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Szeliski, R. (2011). Stereo correspondence. In: Computer Vision. Texts in Computer Science. Springer, London. https://doi.org/10.1007/978-1-84882-935-0_11
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DOI: https://doi.org/10.1007/978-1-84882-935-0_11
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Online ISBN: 978-1-84882-935-0
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