Real-Time Face Pose Estimation from Single Range Images

DSpace/Manakin Repository

Real-Time Face Pose Estimation from Single Range Images

Citable link to this page


Title: Real-Time Face Pose Estimation from Single Range Images
Author: Breitenstein, Michael D.; Kuettel, Daniel; Weise, Thibaut; van Gool, Luc; Pfister, Hanspeter

Note: Order does not necessarily reflect citation order of authors.

Citation: Breitenstein, 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.
Full Text & Related Files:
Abstract: We 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.
Published Version: doi:10.1109/CVPR.2008.4587807
Other Sources:
Terms of Use: This article is made available under the terms and conditions applicable to Open Access Policy Articles, as set forth at
Citable link to this page:
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)


Search DASH

Advanced Search