Abstract
We present an algorithm to estimate the 3D pose (location and orientation) of a previously unseen face from low-quality range images. The algorithm generates many pose candidates from a signature to find the nose tip based on local shape, and then evaluates each candidate by computing an error function. Our algorithm incorporates 2D and 3D cues to make the system robust to low-quality range images acquired by passive stereo systems. It handles large pose variations (of ±90 ° yaw and ±45 ° pitch rotation) and facial variations due to expressions or accessories. For a maximally allowed error of 30°, the system achieves an accuracy of 83.6%.
Originalsprog | Engelsk |
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Bogserie | Lecture Notes in Computer Science |
Vol/bind | 5575 |
Sider (fra-til) | 219-228 |
Antal sider | 9 |
ISSN | 0302-9743 |
DOI | |
Status | Udgivet - 2009 |
Begivenhed | Scandinavian Conference on Image Analysis - Oslo, Norge Varighed: 15 jun. 2009 → 18 jun. 2009 Konferencens nummer: LNCS 5575 |
Konference
Konference | Scandinavian Conference on Image Analysis |
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Nummer | LNCS 5575 |
Land/Område | Norge |
By | Oslo |
Periode | 15/06/2009 → 18/06/2009 |
Bibliografisk note
Titel:Proceedings of the 16th Scandinavian Conference on Image Analysis.
Oversat titel:
Oversat undertitel:
Forlag:
Springer
ISBN (Trykt):
9783642022296
ISBN (Elektronisk):
Publikationsserier:
Lecture Notes In Computer Science, Springer, 0302-9743
Image Processing, Computer Vision, Pattern Recognition, and Graphics, Springer, 5575