Head Pose Estimation of Partially Occluded Faces

Authors:
Markus T. Wenzel;Wolfram H. Schiffmann
Affiliations:
University of Hagen (Germany);University of Hagen (Germany)
Venue:
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Year:
2005

Citing 0
Cited 3

Person-independent head pose estimation using biased manifold embedding

EURASIP Journal on Advances in Signal Processing
Learning a Person-Independent Representation for Precise 3D Pose Estimation

Multimodal Technologies for Perception of Humans
Synchronized submanifold embedding for person-independent pose estimation and beyond

IEEE Transactions on Image Processing

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Abstract

This paper describes an algorithm which calculates the approximate head pose of partially occluded faces without training or manual initialization. The presented approach works on low-resolution webcam images. The algorithm is based on the observation that for small depth rotations of a head the rotation angles can be approximated linearly. It uses the CamShift (Continuous adaptive Mean Shift) algorithm to track the users head. With a pyramidal implementation of an iterative Lucas-Kanade optical flow algorithm, a certain feature point in the face is tracked. Pan and tilt of the head are estimated from the shift of the feature point relative to the center of the head. 3D Position and roll are estimated from the CamShift results.