Abstract
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.
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© 2008 Springer-Verlag Berlin Heidelberg
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Lin, YF., Tang, CW. (2008). A Robust Active Appearance Models Search Algorithm. In: Huang, YM.R., et al. Advances in Multimedia Information Processing - PCM 2008. PCM 2008. Lecture Notes in Computer Science, vol 5353. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89796-5_104
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DOI: https://doi.org/10.1007/978-3-540-89796-5_104
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89795-8
Online ISBN: 978-3-540-89796-5
eBook Packages: Computer ScienceComputer Science (R0)