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- W2023621616 abstract "In this paper, we generalize the Hough transform to match the edge segments in trinocular stereovision and to determine the parameters of the segments in 3-D space. We show that the corresponding segment triplet candidates can be detected by a Hough transform in the parameter plane ((theta) , (phi) ) which characterizes the 3-D segment orientation. These triplets can then be verified, and the position parameters of the 3-D segments can be detected by a Hough transform in the parameter plane (Y, Z). So the matching of geometric primitives in trinocular stereovision images can be found by the cascade of searchings in two 2-D parameter spaces only. Experimental results are satisfactory. Our method shows the following advantages: (1) Trinocular stereovision image matching is transformed into searching in 2-D parameter spaces, which much reduces the computational complexity. (2) Matching can be done completely in parallel. (3) No a priori similarity between images is needed, so very different views can be used, which improves the precision of 3-D reconstruction. (4) It is very efficient to solve false targets. (5) Our method gives good results even for partially hidden segments." @default.
- W2023621616 created "2016-06-24" @default.
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- W2023621616 date "1995-08-28" @default.
- W2023621616 modified "2023-10-14" @default.
- W2023621616 title "<title>Trinocular stereovision by matching in parameter space</title>" @default.
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- W2023621616 doi "https://doi.org/10.1117/12.217459" @default.
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