Image-based visual hulls | Zendy

Wojciech Matusik | Zendy; Chris Buehler | Zendy; Ramesh Raskar | Zendy; Steven J. Gortler | Zendy; Leonard McMillan | Zendy

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Image-based visual hulls

Author(s) -

Wojciech Matusik,

Chris Buehler,

Ramesh Raskar,

Steven J. Gortler,

Leonard McMillan

Publication year - 2000

Publication title -

digital access to scholarship at harvard (dash) (harvard university)

Language(s) - English

Resource type - Conference proceedings

ISBN - 1-58113-208-5

DOI - 10.1145/344779.344951

Subject(s) - visual hull , computer science , epipolar geometry , computation , computer vision , rendering (computer graphics) , artificial intelligence , image based modeling and rendering , pixel , computer graphics (images) , silhouette , real time rendering , image (mathematics) , algorithm

In this paper, we describe an efficient image-based approach to computing and shading visual hulls from silhouette image data. Our algorithm takes advantage of epipolar geometry and incremental computation to achieve a constant rendering cost per rendered pixel. It does not suffer from the computation complexity, limited resolution, or quantization artifacts of previous volumetric approaches. We demonstrate the use of this algorithm in a real-time virtualized reality application running off a small number of video streams.

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