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Maximal cliques based rigid body motion segmentation with a RGB-D camera

Date

Authors

Perera, Kukulage (Samunda)

Barnes, Nick

Publisher

Conference Organising Committee

Abstract

Motion segmentation is a key underlying problem in computer vision for dynamic scenes. Given 3D data from a RGB-D camera, this paper presents a novel method for motion segmentation without explicitly estimating motions. Building up from a recent literatur

Keywords

Keywords: Dynamic scenes; Greedy algorithms; Maximal clique; Maximal clique enumerations; Minimum set cover problem; Motion segmentation; Rigid-body motion; Similarity measure; Algorithms; Cameras; Statistics; Three dimensional computer graphics; Rigid structures

URI

http://hdl.handle.net/1885/81313

Collections

ANU Research Publications

Source

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Type

Conference paper

DOI

10.1007/978-3-642-37444-9_10

Restricted until

2037-12-31

Downloads

File

Description

01_Perera_Maximal_cliques_based_rigid_2013.pdf (1.14 MB)

02_Perera_Maximal_cliques_based_rigid_2013.pdf (73.26 KB)

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