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
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