Title :
Theoretical accuracy analysis of N-Ocular vision systems for scene reconstruction, motion estimation, and positioning
Author :
Firoozfam, Pezhman ; Negahdaripour, Shahriar
Author_Institution :
Dept. of Electr. & Comput. Eng., Miami Univ., Coral Gables, FL, USA
Abstract :
Theoretical models are derived to analyze the accuracy of N-Ocular vision systems for scene reconstruction, motion estimation and self positioning. Covariance matrices are given to estimate the uncertainty bounds for the reconstructed points in 3D space, motion parameters, and 3D position of the vision system. Simulation results of various experiments, based on synthetic and real data acquired with a 12-camera stereo panoramic imaging system, are given to demonstrate the application of these models, as well as to evaluate the performance of the panoramic system for high-precision 3D mapping and positioning.
Keywords :
cameras; computer vision; covariance analysis; covariance matrices; image reconstruction; motion estimation; stereo image processing; 3D point reconstruction; N-Ocular vision system; camera stereo panoramic imaging system; computer vision system; covariance matrices; motion estimation; scene reconstruction; self positioning; uncertainty bound estimation; Cameras; Computer vision; Covariance matrix; Image reconstruction; Layout; Machine vision; Motion estimation; Stereo vision; Three dimensional displays; Uncertainty;
Conference_Titel :
3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on
Print_ISBN :
0-7695-2223-8
DOI :
10.1109/TDPVT.2004.1335409
