Full multiresolution active shape models


Journal Article

The incorporation of a multiresolution image approach is one of the most popular variants of Active Shape Models (ASMs), providing a more robust algorithm and minimizing its initialization dependency. Using the wavelet transform, the present paper extends the multiresolution analysis to the shape space, developing a novel multiresolution shape framework, capable of being incorporated into most of ASM variants. The tests performed with two different types of images, face images (AR database) and chest radiographs (JSRT database), demonstrate how this new generation of algorithms significantly reduce the computational cost, more than halving it, while maintaining the same levels of accuracy. © Springer Science+Business Media, LLC 2011.

Full Text

Duke Authors

Cited Authors

  • Cerrolaza, JJ; Villanueva, A; Sukno, FM; Butakoff, C; Frangi, AF; Cabeza, R

Published Date

  • November 1, 2012

Published In

Volume / Issue

  • 44 / 3

Start / End Page

  • 463 - 479

International Standard Serial Number (ISSN)

  • 0924-9907

Digital Object Identifier (DOI)

  • 10.1007/s10851-012-0338-y

Citation Source

  • Scopus