Title :
Partial implementation of the fixation method on real images: direct recovery of motion and shape in the general case
Author :
Taalebinezhaad, M. Ali
Author_Institution :
Artificial Intelligence Lab., MIT, Cambridge, MA, USA
Abstract :
A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary rigid scene. This method results in a linear constraint equation which explicitly expresses rotational velocity in terms of translational velocity. By combining this constraint equation with the brightness-change constraint equation, general solutions are found for translational and rotational velocities, and the shape. Avoiding correspondence and optical flow has been the motivation behind this direct method, which uses the brightness gradients directly. Partial implementation of the fixation method on real images has shown encouraging results which support some of the presented algorithms
Keywords :
computer vision; computerised picture processing; brightness-change constraint equation; direct recovery of motion; fixation method; general motion vision; linear constraint equation; partial implementation; real images; rotational velocity; shape; translational velocity; Artificial intelligence; Brightness; Equations; Image motion analysis; Noise shaping; Optical computing; Optical noise; Shape; Target tracking; Welding;
Conference_Titel :
Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Conference_Location :
Maui, HI
Print_ISBN :
0-8186-2148-6
DOI :
10.1109/CVPR.1991.139723