DocumentCode
2050541
Title
Robust scene reconstruction from lines and points in three uncalibrated color images
Author
Sham, Alfred H K ; Wong, Andrew K.C.
Author_Institution
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Volume
1
fYear
2001
fDate
2001
Firstpage
557
Abstract
A new robust scene-reconstruction algorithm using points and lines in three uncalibrated color images is introduced. The algorithm is robust because it discards outliers at the same time as it estimates the geometric constraints. The algorithm consists of three components: a point-tracking algorithm for color images; a line-matching algorithm for color images and a robust algorithm for computing the trifocal tensor (also called the trilinear tensor). These three components are carried out iteratively within the scene-reconstruction algorithm until no significant improvement can be achieved. Cameras are assumed uncalibrated and camera poses are assumed unknown
Keywords
image colour analysis; image reconstruction; stereo image processing; color image line-matching algorithm; color image point-tracking algorithm; geometric constraints; robust algorithm; robust scene reconstruction; scene-reconstruction algorithm; trifocal tensor; trilinear tensor; uncalibrated color images; Cameras; Color; Computer vision; Geometry; Image reconstruction; Iterative algorithms; Karhunen-Loeve transforms; Layout; Robustness; Tensile stress;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2001. Proceedings. 2001 IEEE/RSJ International Conference on
Conference_Location
Maui, HI
Print_ISBN
0-7803-6612-3
Type
conf
DOI
10.1109/IROS.2001.973415
Filename
973415
Link To Document