Title
Refining 3D Recovering by Carving through View Interpolation and Stereovision
Abstract
In this paper, we present a method for obtaining accurate 3D models by merging the carving and stereo-matching algorithms. Multiple views of an object are taken from known camera poses. Object images, when segmented, are used to carve a rough 3D model of the object. View synthesis results are compared with real object views in order to validate the recovered model. When errors are detected, commonly due to occlusions and/or concavities, a fine stereo-matching algorithm is applied. Obtained depth map updates the inconsistent areas of the object model. Performed tests show the reached improvements in the accuracy of the model.
Year
DOI
Venue
2003
10.1007/978-3-540-44871-6_57
Lecture Notes in Computer Science
Keywords
Field
DocType
depth map,object model
Computer vision,Carving,Pattern recognition,Computer science,Stereopsis,Occultation,Interpolation,Object model,View synthesis,Artificial intelligence,Depth map,Merge (version control)
Conference
Volume
ISSN
Citations 
2652
0302-9743
3
PageRank 
References 
Authors
0.49
6
3
Name
Order
Citations
PageRank
Enric X. Martín152.91
Joan Aranda2147.37
Antonio B. Martinez341.86