Title :
Blended deformable models
Author :
DeCarlo, Douglas ; Metaxas, Dimitri
Author_Institution :
Dept. of Comput. & Inf. Sci., Pennsylvania Univ., Philadelphia, PA, USA
Abstract :
We develop a new class of parameterized models based on the linear interpolation of two parameterized shapes using a blending function. Using a small number of additional parameters, blending extends the coverage of shape primitives. In particular, it offers the ability to construct shapes whose genus can change. Blended models are incorporated into a physics-based shape estimation framework which uses dynamic deformable models with global and local deformations. We present experiments involving the extraction of complex shapes, including an example of dynamic genus change
Keywords :
interpolation; motion estimation; blended deformable models; blending function; complex shape extraction; dynamic deformable models; dynamic genus change; linear interpolation; local deformations; parameterized models; parameterized shapes; physics-based shape estimation framework; shape primitives; Interpolation; Motion analysis; Shape measurement;
Conference_Titel :
Computer Vision and Pattern Recognition, 1994. Proceedings CVPR '94., 1994 IEEE Computer Society Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-8186-5825-8
DOI :
10.1109/CVPR.1994.323883