| DOI | Resolve DOI: https://doi.org/10.1117/12.131542 |
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| Author | Search for: Boulanger, Pierre1; Search for: Godin, Guy1 |
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| Affiliation | - National Research Council of Canada. NRC Institute for Information Technology
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| Format | Text, Article |
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| Conference | Applications in Optical Science and Engineering, November 15-20, 1992, Boston, Massachusetts, United States |
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| Abstract | This paper describes recent work on hierarchical segmentation of range images. The algorithm starts with an initial partition of small planar regions using a robust fitting method constrained by the detection of depth and orientation discontinuities. From this initial partition represented by an adjacency graph structure, we optimally group these regions into larger and larger regions until an approximation limit is reached. The algorithm uses Bayesian decision theory to determine the local optimal grouping and the geometrical complexity of the approximation surface. This algorithm produces a hierarchical structure that can be used to represent objects with a varying level of detail by scanning through the hierarchical structure generated. Experimental results are presented. |
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| Publication date | 1992-11-01 |
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| Publisher | SPIE |
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| In | |
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| Series | |
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| Language | English |
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| Peer reviewed | Yes |
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| NRC number | NRCC 33232 |
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| NPARC number | 8913598 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction (opens in a new tab) |
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| Record identifier | 807cb6b9-3cdb-4a18-82a3-671dcfbfdf99 |
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| Record created | 2009-04-22 |
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| Record modified | 2024-05-09 |
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