A probabilistic approach to plane extraction and polyhedral approximation of range data

IEICE Transactions on Information and Systems

Volumn E85-D, Issue 2, 2002, Pages 402-410

  Wang, Caihua ^a   Tanahashi, Hideki ^b   Hirayu, Hidekazu ^a   Niwa, Yoshinori ^b   Yamamoto, Kazuhiko ^a  

^a Softopia Japan   (Japan)

^b JAPAN SCIENCE AND TECHNOLOGY AGENCY   (Japan)

Author keywords

Plane extraction; Polyhedral model; Probabilistic approach; Range data; Scene description

Indexed keywords

APPROXIMATION THEORY; EIGENVALUES AND EIGENFUNCTIONS; HOUGH TRANSFORMS; MAXIMUM LIKELIHOOD ESTIMATION; NORMAL DISTRIBUTION; PROBABILITY; VECTORS;

GAUSSIAN DISTRIBUTION; GEOMETRIC FITTING; LEAST-SQUARES-BASED METHOD; PLANE EXTRACTION; POLYHEDRAL APPROXIMATION; RANGE DATA;

IMAGE SEGMENTATION;

EID: 0036476684     PISSN: 09168532     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (14)

1. Segmentation through variable-order surface fitting
2. Segmentation and classification of range data
3. Experimental in curvature-based segmentation of range data
4. An experimental comparison of range image segmentation algorithms
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6. High level CAD model acquisition from range images
7. Robust adaptive segmentation of range images
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9. Fast segmentation of planar surfaces in range images
10. Volumetric description of solids of revolution in a range image
11. Recovery of parametric models from range images: The case for superquadrics with global deformations
12. Closed-form solutions for physically based shape modeling and recognition
13. Statistical optimization for geometric computation: Theory and practice
14. Minimum error thresholding