Abstract
Only few problems in computer vision have been investigated more vigorously than stereo. Nevertheless, almost all methods use only gray values and most of them are feature-based techniques, i.e., they produce only sparse depth maps. This paper presents an efficient technique for dense stereo correspondence using a new Polychromatic Block Matching. Four different color models (RGB, XYZ, I1I2I3, HSI) and three different color measures have been investigated with regard to their suitability for stereo matching. As a result the I1I2I3 color space provides the best information for stereo when using the Euclidean distance for color measurement.
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© 1993 Springer-Verlag Berlin Heidelberg
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Koschan, A. (1993). Dense stereo correspondence using polychromatic block matching. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_71
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DOI: https://doi.org/10.1007/3-540-57233-3_71
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