DocumentCode
2916960
Title
Projective alignment of range and parallax data
Author
Hansard, Miles ; Horaud, Radu ; Amat, Michel ; Lee, Seungkyu
Author_Institution
INRIA Grenoble Rhone-Alpes, Montbonnot, France
fYear
2011
fDate
20-25 June 2011
Firstpage
3089
Lastpage
3096
Abstract
An approximately Euclidean representation of the visible scene can be obtained directly from a range, or `time-of-flight´, camera. An uncalibrated binocular system, in contrast, gives only a projective reconstruction of the scene. This paper analyzes the geometric mapping between the two representations, without requiring an intermediate calibration of the binocular system. The mapping can be found by either of two new methods, one of which requires point-correspondences between the range and colour cameras, and one of which does not. It is shown that these methods can be used to reproject the range data into the binocular images, which makes it possible to associate high-resolution colour and texture with each point in the Euclidean representation.
Keywords
image colour analysis; image reconstruction; image representation; image resolution; image texture; Euclidean representation; binocular images; colour cameras; geometric mapping; high-resolution colour; parallax data; projective alignment; scene reconstruction; texture; uncalibrated binocular system; Calibration; Cameras; Equations; Image color analysis; Image edge detection; Image reconstruction; Minimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on
Conference_Location
Providence, RI
ISSN
1063-6919
Print_ISBN
978-1-4577-0394-2
Type
conf
DOI
10.1109/CVPR.2011.5995533
Filename
5995533
Link To Document