Robust normalization of silhouettes for recognition applications
Journal Article, Pattern Recognition Letters, Vol. 25, No. 5, pp. 591 - 601, April, 2004
Abstract
In this work we introduce a new silhouette normalization method, which is robust with respect to deformations and enables the use of image domain based similarity measures for recognition applications. It is shown that a template matching operation can provide an accurate shortlist of candidates suitable for a more exact matching engine in spite of projective transformations and silhouette deformations. This retrieval of similar shapes has a low computational cost and has been tested with silhouettes of natural and man-made objects.
BibTeX
@article{Cortadellas-2004-120873,author = {J. Cortadellas and J. Amat and F. De la Torre},
title = {Robust normalization of silhouettes for recognition applications},
journal = {Pattern Recognition Letters},
year = {2004},
month = {April},
volume = {25},
number = {5},
pages = {591 - 601},
}
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.