NDLI: Managing processes of perceptual organization for emerging geometrical objects

Content Provider	IEEE Xplore Digital Library
Author	Kasinski, A. Piascik, T.
Copyright Year	2000
Description	Author affiliation: Dept. of Robotics, Autom. & Comput. Sci., Poznan Univ. of Technol., Poland (Kasinski, A.)
Abstract	Three lower level layers of the hierarchical machine perception system are described, and experimental results are provided. The system is based on agile camera and aimed at automatic recognition of simple geometric scenes, made of crafted manipulation objects. The primary process of grouping the edgelets on the image is described. Two methods of edgelet grouping are compared, namely a Hough transform based method and a method based on LSR. Some modifications to both methods have been proposed. Next, a process of perceptual grouping of elementary features, short segments, is described. Three approaches to feature fusion are addressed: one based on crisp, geometrical, heuristic conditions, the second based on fuzzified conditions and the third one based on Dempster-Shafer theory. The results obtained with the three methods are compared and presented on the example image of a real scene. Higher layer issues, namely a problem of contour closing and of separating particular objects (in the case of occlusions) are briefly discussed. Some preliminary results in that area are reported.
Starting Page	1604
Ending Page	1609
File Size	1304026
Page Count	6
File Format	PDF
ISBN	0780365836
ISSN	1062922X
DOI	10.1109/ICSMC.2000.886251
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2000-10-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Layout Cameras Feature extraction Robotics and automation Robot vision systems Image recognition Image segmentation Image reconstruction Computer vision Surface reconstruction
Content Type	Text
Resource Type	Article

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