Repository logo
 

Eigendecomposition-based pose detection in the presence of occlusion

Simple item page
dc.contributor.authorRoberts, Rodney G., author
dc.contributor.authorBalakrishnan, Venkataramanan, author
dc.contributor.authorMaciejewski, Anthony A., author
dc.contributor.authorChang, Chu-Yin, author
dc.contributor.authorIEEE, publisher
dc.date.accessioned2007-01-03T04:43:50Z
dc.date.available2007-01-03T04:43:50Z
dc.date.issued2001
dc.description.abstractEigendecomposition-based techniques are popular for a number of computer vision problems, e.g., object and pose detection, because they are purely appearance-based and they require few on-line computations. Unfortunately, they also typically require an unobstructed view of the object whose pose is being detected. The presence of occlusion precludes the use of the normalizations that are typically applied and significantly alters the appearance of the object under detection. This work presents an algorithm that is based on applying eigendecomposition to a quadtree representation of the image dataset used to describe the appearance of an object. This allows decisions concerning the pose of an object to be based on only those portions of the image in which the algorithm has determined that the object is not occluded. The accuracy and computational efficiency of the proposed approach is evaluated on sixteen different objects with up to 50% of the object being occluded.
dc.description.sponsorshipThis work was supported by the Sze Tsao Chang Memorial Engineering Fund, the Office of Naval Research under contract no. N00014-97-1-0640, and the National Imagery and Mapping Agency under contract no. NMA201-00-1-1003.
dc.format.mediumborn digital
dc.format.mediumproceedings (reports)
dc.identifier.bibliographicCitationChang, C-Y., et al., Eigendecomposition-Based Pose Detection in the Presence of Occlusion, Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2001): Expanding the Societal Role of Robotics in the Next Millennium, October 29-November 3, 2001, Maui, Hawaii: 576-569.
dc.identifier.urihttp://hdl.handle.net/10217/1351
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©2001 IEEE.
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjecteigenvalues and eigenfunctions
dc.subjectcomputer vision
dc.subjectcomputational complexity
dc.subjectobject detection
dc.subjectquadtrees
dc.titleEigendecomposition-based pose detection in the presence of occlusion
dc.typeText

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ECEaam00090.pdf
Size:
936.48 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Faculty Publications