Title
A survey of methods for volumetric scene reconstruction from photographs
Abstract
Scene reconstruction, the task of generating a 3D model of a scene given multiple 2D photographs taken of the scene, is an old and difficult problem in computer vision. Since its introduction, scene reconstruction has found application in many fields, including robotics, virtual reality, and entertainment. Volumetric models are a natural choice for scene reconstruction. Three broad classes of volumetric reconstruction techniques have been developed based on geometric intersections, color consistency, and pair-wise matching. Some of these techniques have spawned a number of variations and undergone considerable refinement. This paper is a survey of techniques for volumetric scene reconstruction.
Year
DOI
Venue
2001
10.2312/VG/VG01/081-101
Volume Graphics 2007
Keywords
Field
DocType
computer vision,virtual reality
Computer vision,Reprojection error,Virtual reality,Computer graphics (images),Visual hull,Computer science,Exterior space,Volumetric reconstruction,Volumetric model,Artificial intelligence,Robotics
Conference
ISSN
ISBN
Citations 
0946-2767
3-211-83737-X
76
PageRank 
References 
Authors
4.17
39
4
Name
Order
Citations
PageRank
Gregory G. Slabaugh187071.13
W. Bruce Culbertson238735.83
Thomas Malzbender345328.44
R. W. SCHAFER41506269.98