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Carved Visual Hulls for Image-Based Modeling Yasutaka Furukawa1 and Jean Ponce1,2
 

Summary: Carved Visual Hulls for Image-Based Modeling
Yasutaka Furukawa1 and Jean Ponce1,2
1 Department of Computer Science
University of Illinois at Urbana Champaign, USA
2 D´epartement d'Informatique
Ecole Normale Sup´erieure, Paris, France
{yfurukaw,ponce}@cs.uiuc.edu
Abstract. This article presents a novel method for acquiring high-quality solid
models of complex 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 identified 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 six real data sets are presented, along with qualitative comparisons with
several state-of-the-art image-based-modeling algorithms.
1 Introduction

  

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
École Normale Supérieure, Laboratoire d'Informatique, WILLOW Computer vision and machine learning research laboratory

 

Collections: Computer Technologies and Information Sciences; Engineering