Title :
A clustering method based on quadric surface for segmentation of range data
Author :
Makoto, Makoto ; Kousuke, Kousuke ; Inoue, Katsuhiro ; Ono, Satoshi ; Nagata, Tadashi
Author_Institution :
Kyushu Inst. of Technol., Fukuoka, Japan
Abstract :
In this paper, a clustering method is proposed to segment a range image of closed object. The data points are classified into domains with similar quadric surface. This method consists of two stages. First, new clusters are created on demand. Next, dispensable clusters are vanished by the competition of clusters, and remaining clusters are agglomerated. Consequently, optimal clusters are determined.
Keywords :
image segmentation; optimisation; pattern clustering; closed object; cluster agglomeration; cluster competition; clustering method; data point classification; dispensable clusters; optimal clusters; quadric surface; range data segmentation; range image; Clustering algorithms; Clustering methods; Image analysis; Image segmentation; Linear approximation; Performance evaluation; Recursive estimation; Shape control; Topology;
Conference_Titel :
SICE 2002. Proceedings of the 41st SICE Annual Conference
Print_ISBN :
0-7803-7631-5
DOI :
10.1109/SICE.2002.1195802
