DocumentCode :
2078702
Title :
The extruded generalized cylinder: a deformable model for object recovery
Author :
O´Donnell, Thomas ; Boult, Terrence E. ; Fang, Xi-Sheng ; Gupta, Alok
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
fYear :
1994
fDate :
21-23 Jun 1994
Firstpage :
174
Lastpage :
181
Abstract :
There is increasing interest in the recovery of generalized cylinders (GCs) with curved spines. However, existing formulations of such GCs, for example those based an the Frenet-Serret frame or the tube model, suffer serious drawbacks: discontinuities, a lack of expressive power, ”narrowing” in the plane normal to the spine, non-intuitive twisting behavior, and/or off-axis nonorthogonality of their local coordinate systems. We discuss some of the problems associated with the non-orthogonality of the coordinate system based on the Frenet-Serret frame. This non-orthogonality is induced by torsion effects and we show how to correct for it. We then introduce a new model, the extruded GC (EGC) model, which overcomes all the problems mentioned above. For complex axes, the EGC model is also simpler to understand and use than existing models. The EGC model is further extended by including local surface deformations. Recovery of the deformable EGC via a physically-motivated paradigm is demonstrated on pre-segmented data from a human carotid artery
Keywords :
computational geometry; computer vision; EGC model; Frenet-Serret frame; GCs; curved spines; deformable model; expressive power; extruded GC; extruded generalized cylinder; human carotid artery; local coordinate systems; local surface deformations; non-intuitive twisting behavior; object recovery; off-axis nonorthogonality; physically-motivated paradigm; pre-segmented data; torsion effects; tube model; Computational geometry; Machine vision; Object recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location :
Seattle, WA
ISSN :
1063-6919
Print_ISBN :
0-8186-5825-8
Type :
conf
DOI :
10.1109/CVPR.1994.323826
Filename :
323826
Link To Document :
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