Title :
A framework for adaptive scale space tracking solutions to problems in computational vision
Author_Institution :
Fairchild Weston Syst. Inc., Syosset, NY, USA
Abstract :
A unified framework is developed for efficiently solving a wide range of computational vision problems by performing adaptive scale space tracking (where a solution at a coarse resolution is tracked to solutions at ever increasing resolution). This approach is motivated by physical smoothness models, deformable sheets, based on thin elastic membranes and plates. The inherent smoothness properties of the deformable sheets act against externally applied, problem specific forces derived from images. The authors also developed the necessary relations for quantitative control of scale based parameters so that the scale space tracking process can be completely automated. Finally, they present solutions to different problems in computational vision using the framework applied to real images
Keywords :
computer vision; computerised picture processing; adaptive scale space tracking; coarse resolution; computational vision; deformable sheets; necessary relations; physical smoothness models; plates; problem specific forces; quantitative control; scale based parameters; thin elastic membranes; Biomembranes; Computer vision; Constraint optimization; Energy resolution; Linear systems; Partial differential equations; Programmable control; Smoothing methods; Sparse matrices; Stereo vision;
Conference_Titel :
Computer Vision, 1990. Proceedings, Third International Conference on
Conference_Location :
Osaka
Print_ISBN :
0-8186-2057-9
DOI :
10.1109/ICCV.1990.139521