DocumentCode
417578
Title
3D model refinement using surface-parallax
Author
Agrawal, Amit K ; Chellappa, Rama
Author_Institution
Dept. of Electr. & Comput. Eng., Maryland Univ., College Park, MD, USA
Volume
3
fYear
2004
fDate
17-21 May 2004
Abstract
We present an approach to update and refine coarse 3D models of urban environments from a sequence of intensity images using surface parallax. This generalizes the plane-parallax recovery methods to surface-parallax using arbitrary surfaces. A coarse and potentially incomplete depth map of the scene obtained from a digital elevation map (DEM) is used as a reference surface which is refined and updated using this approach. The reference depth map is used to estimate the camera motion and the motion of the 3D points on the reference surface is compensated. The resulting parallax, which is an epipolar field, is estimated using an adaptive windowing technique and used to obtain the refined depth map.
Keywords
computer vision; image reconstruction; image sequences; motion compensation; motion estimation; 3D model refinement; DEM; adaptive windowing; arbitrary surfaces; camera motion estimation; coarse incomplete depth map; digital elevation map; epipolar field; intensity image sequence; motion compensation; plane-parallax recovery; surface parallax; urban environments; Cameras; Collaboration; Educational institutions; Government; Image reconstruction; Layout; Least squares approximation; Motion estimation; Surface reconstruction; Surface topography;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326537
Filename
1326537
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