Title :
Robust primitive extraction in a range image
Author :
Meygret, Aimé ; Levine, Martin D. ; Roth, Gerhard
Author_Institution :
McGill Res. Center for Intelligent Machines, McGill Univ., Montreal, Que., Canada
fDate :
30 Aug-3 Sep 1992
Abstract :
The problem of geometric primitive extraction in a range image is considered. A segmentation algorithm segments the image into quadric patches and provides an efficient initialization for the extraction of geometric primitives by a genetic algorithm. These algorithms are shown to be simple, fast and robust to noise. A parallel implementation has been realized and results are shown on real data
Keywords :
feature extraction; genetic algorithms; image segmentation; parallel algorithms; genetic algorithm; geometric primitive extraction; geometric primitives extraction; image segmentation; parallel implementation; quadric patches; range image; Biological cells; Councils; Data mining; Genetic algorithms; Image segmentation; Information technology; Machine intelligence; Noise robustness; Shape measurement; Surface fitting;
Conference_Titel :
Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on
Conference_Location :
The Hague
Print_ISBN :
0-8186-2920-7
DOI :
10.1109/ICPR.1992.201959
