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Carved Visual Hulls for Image-Based Modeling Yasutaka Furukawa1 (yfurukaw@uiuc.edu)

Summary: Carved Visual Hulls for Image-Based Modeling
Yasutaka Furukawa1 (yfurukaw@uiuc.edu)
Jean Ponce1,2 (jean.ponce@ens.fr)
1 Department of Computer Science and Beckman Institute
University Of Illinois, Urbana, IL 61801, USA
2 D´epartement d'Informatique
Ecole Normale Sup´erieure, Paris, France
Abstract. This article presents a novel method for acquiring high-quality solid models of com-
plex 3D shapes from multiple calibrated photographs. After the purely geometric constraints
associated with the silhouettes found in each image have been used to construct a coarse
surface approximation in the form of a visual hull, photoconsistency constraints are enforced
in three consecutive steps: (1) the rims where the surface grazes the visual hull are first iden-
tified through dynamic programming; (2) with the rims now fixed, the visual hull is carved
using graph cuts to globally optimize the photoconsistency of the surface and recover its main
features; (3) an iterative (local) refinement step is finally used to recover fine surface details.
The proposed approach has been implemented, and experiments with seven real data sets are
presented, along with qualitative and quantitative comparisons with several state-of-the-art
image-based-modeling algorithms.
Keywords: visual hull, graph cuts, multi-view, stereo, rim, silhouettes
1. Introduction


Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle


Collections: Computer Technologies and Information Sciences