Technical Reports (CIS)
Document Type
Technical Report
Date of this Version
January 1997
Abstract
This paper describes a framework for the estimation of shape from sparse or incomplete range data. It uses a shape representation called blending, which allows for the geometric combination of shapes into a unified model— selected regions of the component shapes are cut-out and glued together. Estimation of shape using this representation is realized using a physics-based framework, and also includes a process for deciding how to adapt the structure and topology of the model to improve the fit. The blending representation helps avoid abrupt changes in model geometry during fitting by allowing the smooth evolution of the shape, which improves the robustness of the technique. We demonstrate this framework with a series of experiments showing its ability to automatically extract structured representations from range data given both structurally and topologically complex objects.
Recommended Citation
Douglas DeCarlo and Dimitris Metaxas, "Shape Evolution With Structural and Topological Changes Using Blending", . January 1997.
Date Posted: 20 October 2006
Comments
University of Pennsylvania Department of Computer and Information Science Technical Report No. MS-CIS-97-12.