On representing edge structure for model matching

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We show how a novel, non-linear representation of edge structure can be used to improve the performance of model matching algorithms and object verification/recognition tasks. Rather than represent the image structure using intensity values or gradients, we use a measure which indicates the orientation of structures at each pixel, together with an indication of how reliable the orientation estimate is. Orientations in flat, noisy regions tend to be penalised whereas those near strong edges are favoured. We demonstrate that this representation leads to more accurate and reliable matching between models and new images, and leads to better recognition/verification of faces in an access control task.

Bibliographical metadata

Original languageEnglish
Title of host publicationProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition|Proc IEEE Comput Soc Conf Comput Vision Pattern Recognit
PublisherIEEE
PagesI1114-I1119
Number of pages6
Volume1
Publication statusPublished - 2001
Event2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Kauai, HI
Event duration: 1 Jul 2001 → …
http://<Go to ISI>://ISIP:000184694200150

Publication series

NameProceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition
PublisherIEEE

Conference

Conference2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
CityKauai, HI
Period1/07/01 → …
Internet address