A robust active appearance models search algorithm

Yong Fong Lin, Chih Wei Tang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


With the aid of AAMs search algorithm, Active Appearance Models (AAMs) can represent non-rigid image objects with shape and texture variations well. However, the performance of the traditional AAMs search algorithm(TAAMS) is limited by its assumption that the error function is convex. Therefore, this paper proposes a robust AAMs search algorithm (RAAMS) which combines the multi-pose search (MS) for better pose matching and an estimation mechanism of parameter search direction (EPSD) for more accurate search direction. Moreover, a precaution mechanism of local minimum (PLM) is proposed to avoid the search trapped into the local minimum of the error function. Experimental results show that the proposed algorithm can significantly reduce 36.41% of shape error and 30.81% of texture error between the synthesized instance and target image.

Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2008 - 9th Pacific Rim Conference on Multimedia, Proceedings
Number of pages4
StatePublished - 2008
Event9th Pacific Rim Conference on Multimedia, PCM 2008 - Tainan, Taiwan
Duration: 9 Dec 200813 Dec 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5353 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference9th Pacific Rim Conference on Multimedia, PCM 2008


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