An Unified Framework for Early Vision

Haiyan Wang, Bijoy K. Ghosh

Research output: Contribution to conferencePaperpeer-review

Abstract

A unified variational model which has a spatially-varying weight function on smoothness constraints for early vision is discussed. The validity of the smoothness constraint in early vision is based on the assumption that the coherence of matter give rise to smoothly varying characteristics in a visual scene. The smoothing is controlled in the direction along the image features to avoid the damages. The spatially-varying weight function is used for elastic model so that the smoothness constraints are small on large variation area.

Original languageEnglish
Pages461-464
Number of pages4
StatePublished - 1998
Event4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4 - Research Triangle Park, NC, United States
Duration: Oct 23 1998Oct 28 1998

Conference

Conference4th International Conference on Computer Science and Informatics, JCIS 1998, 1st International Workshop on High Performance, 1st International Workshop on Computer Vision, Pattern Recognition and Image Processing Volume 4
CountryUnited States
CityResearch Triangle Park, NC
Period10/23/9810/28/98

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