Title: A shape based, viewpoint invariant local descriptor
Authors: Osian, Mihai ×
Tuytelaars, Tinne
Van Gool, Luc #
Issue Date: 2005
Publisher: Springer
Series Title: Lecture Notes in Computer Science vol:3361 pages:349-359
Conference: Machine Learning for Multimodal Interaction, MLMI 2004 date:2005
Abstract: Affine invariant regions have proved a powerful feature for object recognition and categorization. These features heavily rely on object textures rather than shapes, however. Typically, their shapes have been fixed to ellipses or parallelograms. The paper proposes a novel affine invariant region type, that is built up from a combination of fitted superellipses. These novel features have the advantage of offering a much wider range of shapes through the addition of a very limited number of shape parameters, with the traditional ellipses and parallelograms as subsets. The paper offers a solution for the robust fitting of superellipses to partial contours, which is a crucial step towards the implementation of the novel features.
ISSN: 0302-9743
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - PSI, Processing Speech and Images
× corresponding author
# (joint) last author

Files in This Item:
File Status SizeFormat
Osian_Tuytelaars_VanGool-superellipses-MLMI05.pdf Published 443KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science