Title :
Use of surface reconstruction for machine vision
Author :
Munasinghe, Ranjith ; Fernando, Christopher G.
Author_Institution :
Dept. of Mathematics, West Virginia Univ. Inst. of Technol., Montgomery, WV, USA
Abstract :
Two cameras with parallel optical axes at the same altitude are often used for stereo vision. In this paper, mathematical relationships between pixel positions and the coordinates of the point viewed are derived for any camera structure. A detailed description of epipolar geometry is included and equations for epipolar lines are derived. The key problem in static stereo method for surface reconstruction is the correspondence problem, the task of matching corresponding pixels in two images. Matching all pixels is necessary for construction of a dense surface. Since it takes an extraordinary amount of time for matching all pixels, construction of polyhedral approximations for surfaces is proposed. An existing algorithm is modified for this purpose.
Keywords :
image matching; image reconstruction; remotely operated vehicles; stereo image processing; correspondence problem; epipolar geometry; epipolar lines; image matching; machine vision; polyhedral approximations; smart warfighting array of reconfigurable module; static stereo method; surface reconstruction; unmanned arial vehicle; Cameras; Data mining; Equations; Feature extraction; Image reconstruction; Machine vision; Pixel; Stereo image processing; Surface reconstruction; Unmanned aerial vehicles;
Conference_Titel :
System Theory, 2004. Proceedings of the Thirty-Sixth Southeastern Symposium on
Print_ISBN :
0-7803-8281-1
DOI :
10.1109/SSST.2004.1295609
