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Using 3-Dimensional Meshes to Combine Image-Based and Geometry Constraints

Authors: Pascal V. Fua; Yvan G. Leclerc; SRI INTERNATIONAL MENLO PARK CA ARTIFICIAL INTELLIGENCE CENTER
 
Abstract: A unified framework for 3-D shape reconstruction allows us to combine image-based and geometry-based information sources. The image information is akin to stereo and shape-from-shading, while the geometric information may be provided in the form of 3-D points, 3-D features or 2-D silhouettes. A formal integration framework is critical in recovering complicated surfaces because the information from a single source is often insufficient to provide a unique answer. Our approach to shape recovery is to deform a generic object-centered 3-D representation of the surface so as to minimize an objective function. This objective function is a weighted sum of the contributions of the various information sources. We describe these various terms individually, our weighting scheme, and our optimization method. Finally, we present results on a number of difficult images of real scenes for which a single source of information would have proved insufficient.

Limitations: APPROVED FOR PUBLIC RELEASE
Description: Technical note
Pages: 31
Report Date: 24 AUG 1994
Contract Number: DACA7692C0008, DACA7692C0034
Report Number: A900064
Keywords relating to this report:
*IMAGE PROCESSING
*MESH
*SHAPE
*SURFACES
*THREE DIMENSIONAL
COMPUTER VISION
GEOMETRY
IMAGES
OPTIMIZATION
SILHOUETTES
TWO DIMENSIONAL
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