DocumentCode
2461036
Title
A Symmetry-Based Generative Model for Shape
Author
Trinh, Nhon H. ; Kimia, Benjamin B.
Author_Institution
Brown Univ., Providence
fYear
2007
fDate
14-21 Oct. 2007
Firstpage
1
Lastpage
8
Abstract
We propose a novel generative language for shape that is based on the shock graph: given a shock graph topology, we explore constraints on the geometry and dynamics of the shock graph branches at each point required to generate a valid shape, i.e., with no self-intersection, cusps, or crossovers. We model the shape boundary as a piece-wise smooth circular arc spline, which is dense in the space of piecewise smooth curves. Using this model we derive an independent set of parameters which generate a variety of shapes and satisfy the reconstruction constraints. We show simple examples of using this generative model as an active deformable shape and for morphing between two shapes. The results illustrate that it is possible to generate any generic shape with relatively few parameters, further reduced if prior knowledge of shape is available.
Keywords
graph theory; image reconstruction; splines (mathematics); geometry; piecewise smooth circular arc spline; piecewise smooth curves; reconstruction constraints; shock graph topology; symmetry-based generative model; Active contours; Active shape model; Clouds; Deformable models; Electric shock; Geometry; Image reconstruction; Solid modeling; Spline; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on
Conference_Location
Rio de Janeiro
ISSN
1550-5499
Print_ISBN
978-1-4244-1630-1
Electronic_ISBN
1550-5499
Type
conf
DOI
10.1109/ICCV.2007.4409022
Filename
4409022
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