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dc.contributor.authorBreitenstein, Michael D.
dc.contributor.authorKuettel, Daniel
dc.contributor.authorWeise, Thibaut
dc.contributor.authorvan Gool, Luc
dc.contributor.authorPfister, Hanspeter
dc.date.accessioned2010-05-17T20:44:24Z
dc.date.issued2008
dc.identifier.citationBreitenstein, Michael D., Daniel Kuettel, Thibaut Weise, Luc van Gool, and Hanspeter Pfister. 2008. Real-time face pose estimation from single range images. Proceedings: CVPR 2008, IEEE Computer Society Conference on Computer Vision and Pattern Recognition. 1-8.en_US
dc.identifier.issn1063-6919en_US
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:4100250
dc.description.abstractWe present a real-time algorithm to estimate the 3D pose of a previously unseen face from a single range image. Based on a novel shape signature to identify noses in range images, we generate candidates for their positions, and then generate and evaluate many pose hypotheses in parallel using modern graphics processing units (GPUs). We developed a novel error function that compares the input range image to precomputed pose images of an average face model. The algorithm is robust to large pose variations of plusmn90deg yaw, plusmn45deg pitch and plusmn30deg roll rotation, facial expression, partial occlusion, and works for multiple faces in the field of view. It correctly estimates 97.8% of the poses within yaw and pitch error of 15deg at 55.8 fps. To evaluate the algorithm, we built a database of range images with large pose variations and developed a method for automatic ground truth annotation.en_US
dc.description.sponsorshipEngineering and Applied Sciencesen_US
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofdoi:10.1109/CVPR.2008.4587807en_US
dc.relation.hasversionhttp://gvi.seas.harvard.edu/sites/all/files/Breitenstein07Real-Time.pdfen_US
dash.licenseOAP
dc.titleReal-Time Face Pose Estimation from Single Range Imagesen_US
dc.typeConference Paperen_US
dc.description.versionAccepted Manuscripten_US
dc.relation.journalProceedings: CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognitionen_US
dash.depositing.authorPfister, Hanspeter
dc.date.available2010-05-17T20:44:24Z
dc.identifier.doi10.1109/CVPR.2008.4587807*
dash.contributor.affiliatedPfister, Hanspeter


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