Building Three Dimensional Head Models

Sarris, Nikos; Grammalidis, Nikos; Strintzis, Michael G.

doi:10.1006/gmod.2001.0563

Cited by 9 publications

(2 citation statements)

References 40 publications

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“…Fitting a 3D ellipsoid to the cloud of 3D face points has been examined [18]. Since less than half of the facial surface is visible, the pose estimate is biased especially for large head rotations.…”

Section: D Pose Estimationmentioning

confidence: 99%

Robust real-time 3D head pose estimation from range data

Malassiotis

Strintzis

2005

Pattern Recognition

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Section: D Pose Estimationmentioning

confidence: 99%

Robust real-time 3D head pose estimation from range data

Malassiotis

Strintzis

2005

Pattern Recognition

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“…It estimates pose from a sequence of scans of a person rotating his head, making use of information from previous scans in the sequence. Another approach is discussed in [10], where an ellipsoid is first fitted to a cloud of points in 3D. The head-pose is then calculated from the orientation of the axes of the ellipsoid with respect to the chosen axes, and is applied to head tracking.…”

Section: Introductionmentioning

confidence: 99%

Facial pose from 3D data

Rajwade

Levine

2006

Image and Vision Computing

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A Survey on 3D Modeling of Human Faces for Face Recognition

Huq

Abidi

Kong

et al.

Computational Imaging and Vision

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In its quest for more reliability and higher recognition rates the face recognition community has been focusing more and more on 3D based recognition. Depth information adds another dimension to facial features and provides ways to minimize the effects of pose and illumination variations for achieving greater recognition accuracy. This chapter reviews, therefore, the major techniques for 3D face modeling, the first step in any 3D assisted face recognition system. The reviewed techniques are laser range scans, 3D from structured light projection, stereo vision, morphing, shape from motion, shape from space carving, and shape from shading. Concepts, accuracy, feasibility, and limitations of these techniques and their effectiveness for 3D face recognition are discussed.

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Building Three Dimensional Head Models

Cited by 9 publications

References 40 publications

Robust real-time 3D head pose estimation from range data

Robust real-time 3D head pose estimation from range data

Facial pose from 3D data

A Survey on 3D Modeling of Human Faces for Face Recognition

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