Fast extraction of surface primitives from range images

An efficient algorithm for extracting planar and curved surface patches that express distinctive parts of the objects contained in a given range image is presented. The proposed technique does not directly segment the range image but a triangular approximation of it obtained through a fast adaptive...

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Vydáno v:Proceedings of 13th International Conference on Pattern Recognition Ročník 3; s. 568 - 572 vol.3
Hlavní autoři: Garcia, M.A., Basanez, L.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 1996
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ISBN:9780818672828, 081867282X
ISSN:1051-4651
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Abstract An efficient algorithm for extracting planar and curved surface patches that express distinctive parts of the objects contained in a given range image is presented. The proposed technique does not directly segment the range image but a triangular approximation of it obtained through a fast adaptive randomized sampling algorithm. This intermediate representation allows us to avoid the processing of all the individual points of the range image in the segmentation phase.
AbstractList An efficient algorithm for extracting planar and curved surface patches that express distinctive parts of the objects contained in a given range image is presented. The proposed technique does not directly segment the range image but a triangular approximation of it obtained through a fast adaptive randomized sampling algorithm. This intermediate representation allows us to avoid the processing of all the individual points of the range image in the segmentation phase.
Author Basanez, L.
Garcia, M.A.
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Snippet An efficient algorithm for extracting planar and curved surface patches that express distinctive parts of the objects contained in a given range image is...
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StartPage 568
SubjectTerms Approximation algorithms
Artificial intelligence
Computer vision
Cybernetics
Image sampling
Image segmentation
Intelligent robots
Layout
Pixel
Surface fitting
Title Fast extraction of surface primitives from range images
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