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Image-based 3D photography using opacity hulls
Author(s) -
Wojciech Matusik,
Hanspeter Pfister,
Addy Ngan,
Paul Beardsley,
Remo Ziegler,
Leonard McMillan
Publication year - 2002
Publication title -
digital access to scholarship at harvard (dash) (harvard university)
Language(s) - English
Resource type - Conference proceedings
ISSN - 0730-0301
ISBN - 1-58113-521-1
DOI - 10.1145/566570.566599
Subject(s) - opacity , computer vision , computer science , artificial intelligence , computer graphics (images) , object (grammar) , specular reflection , visual hull , representation (politics) , visualization , viewpoints , set (abstract data type) , silhouette , optics , physics , politics , law , political science , programming language , art , visual arts
We have built a system for acquiring and displaying high quality graphical models of objects that are impossible to scan with traditional scanners. Our system can acquire highly specular and fuzzy materials, such as fur and feathers. The hardware set-up consists of a turntable, two plasma displays, an array of cameras, and a rotating array of directional lights. We use multi-background matting techniques to acquire alpha mattes of the object from multiple viewpoints. The alpha mattes are used to construct an opacity hull. The opacity hull is a new shape representation, defined as the visual hull of the object with view-dependent opacity. It enables visualization of complex object silhouettes and seamless blending of objects into new environments. Our system also supports relighting of objects with arbitrary appearance using surface reflectance fields, a purely image-based appearance representation. Our system is the first to acquire and render surface reflectance fields under varying illumination from arbitrary viewpoints. We have built three generations of digitizers with increasing sophistication. In this paper, we present our results from digitizing hundreds of models.

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