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3D Reconstruction

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Computer Vision

Part of the book series: Texts in Computer Science ((TCS))

Abstract

As we saw in the previous chapter, many stereo matching techniques have been developed to reconstruct high-quality 3D models from two or more images. However, stereo is just one of the many potential cues that can be used to infer shape from images. In this chapter, we investigate a number of such techniques, which include not only visual cues such as shading and focus, but also techniques for merging multiple range or depth images into 3D models, as well as techniques for reconstructing specialized models, such as heads, bodies, or architecture.

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Correspondence to Richard Szeliski .

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Szeliski, R. (2022). 3D Reconstruction. In: Computer Vision. Texts in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-030-34372-9_13

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  • DOI: https://doi.org/10.1007/978-3-030-34372-9_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34371-2

  • Online ISBN: 978-3-030-34372-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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