Title :
A locally adaptive window for signal matching
Author :
Okutomi, Masatoshi ; Kanade, Takeo
Author_Institution :
Canon Inc., Kawasaki, Japan
Abstract :
The authors presents a signal matching algorithm that can select an appropriate window size adaptively so as to obtain both precise and stable estimation of correspondences. A statistical model is presented for disparity variation within a window, and it is used to establish a link between the window size and the uncertainty of the computed disparity. This makes it possible to choose the window size that minimizes uncertainty in the disparity computed at each point. A theory is presented for the model and the resultant algorithm, together with analytical and experimental results that demonstrate their effectiveness
Keywords :
computer vision; statistical analysis; disparity variation; estimation; locally adaptive window; signal matching algorithm; statistical model; window size; Algorithm design and analysis; Computer science; Computer vision; Contracts; Government; Information systems; Monitoring; Signal analysis; US Department of Defense; Uncertainty;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139519