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Part of the book series: Symbolic Computation ((1276))

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Abstract

This chapter describes range data processing for the extraction of three-dimensional features and building scene descriptions. In three-dimensional computer vision, the main purpose of feature extraction is to extract geometrical features from images. While extraction of those features from monocular images is not easy, that from range data is much more reliable because the geometry of a scene is directly related to range data.

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© 1987 Springer-Verlag Berlin Heidelberg

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Shirai, Y. (1987). Range Data Processing. In: Three-Dimensional Computer Vision. Symbolic Computation. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-82429-6_9

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  • DOI: https://doi.org/10.1007/978-3-642-82429-6_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-82431-9

  • Online ISBN: 978-3-642-82429-6

  • eBook Packages: Springer Book Archive

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