DocumentCode :
2119402
Title :
Shape Recovery Using Rotated Slicing Planes
Author :
Lai, Po-Lun ; Yilmaz, Alper
Author_Institution :
Photogrammetric Comput. Vision Lab., Ohio State Univ., Columbus, OH, USA
fYear :
2009
fDate :
17-19 Oct. 2009
Firstpage :
1
Lastpage :
5
Abstract :
This paper discusses a novel approach for image-based three-dimensional (3D) object shape recovery. Let there be a set of hypothetical planes in the object space created by rotating a reference plane about an arbitrary axis. These planes slice the objects and create cross-sections at which the object shapes become the outlines on the plane, which we will refer to as the slice images. The object outlines are observed by projecting a series of object silhouettes at images taken by uncalibrated cameras at unknown viewpoints. The projections related to the slice images are computed from the plane projective geometry between images and these planes. Experimental results show that the proposed approach can recover 3D shape efficiently with minimum number of constraints.
Keywords :
cameras; object recognition; shape recognition; cameras; hypothetical planes; object silhouettes; plane projective geometry; reference plane; rotated slicing planes; slice images; three-dimensional object shape recovery; Cameras; Computational geometry; Computer vision; Image reconstruction; Image sequences; Laboratories; Layout; Shape; Surface reconstruction; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4244-4129-7
Electronic_ISBN :
978-1-4244-4131-0
Type :
conf
DOI :
10.1109/CISP.2009.5302774
Filename :
5302774
Link To Document :
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