g-HDAF multiresolution deformable models

Ioannis A. Kakadiaris, Emmanuel Papadakis, Lixin Shen, Donald Kouri, David Hoffman

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

Abstract

In this paper, we construct a new class of deformable models using a new family of biorthogonal wavelets, named generalized Hermite Distributed Approximating Functional (g-HDAF) Wavelets. The scaling functions of this new family are symmetric and the corresponding wavelets optimize their smoothness for a given number of vanishing moments. In addition, we embed these multiresolution deformable models to the physics-based deformable model framework and use them for fitting 3D range data. We have performed a number of experiments with both synthetic and real data with very encouraging results.

Original languageEnglish (US)
Title of host publicationArticulated Motion and Deformable Objects - 2nd International Workshop, AMDO 2002, Proceedings
PublisherSpringer Verlag
Pages21-31
Number of pages11
Volume2492
ISBN (Print)9783540001492
StatePublished - 2002
Externally publishedYes
Event2nd International Workshop on Articulated Motion and Deformable Objects, AMDO 2002 - Palma de Mallorca, Spain
Duration: Nov 21 2002Nov 23 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2492
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other2nd International Workshop on Articulated Motion and Deformable Objects, AMDO 2002
CountrySpain
CityPalma de Mallorca
Period11/21/0211/23/02

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Kakadiaris, I. A., Papadakis, E., Shen, L., Kouri, D., & Hoffman, D. (2002). g-HDAF multiresolution deformable models. In Articulated Motion and Deformable Objects - 2nd International Workshop, AMDO 2002, Proceedings (Vol. 2492, pp. 21-31). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2492). Springer Verlag.