Real-time estimation of head motion using weak perspective epipolar geometry

T. Otsuka; J. Ohya

doi:10.1109/ACV.1998.732883

Real-time estimation of head motion using weak perspective epipolar geometry

T. Otsuka^*, J. Ohya

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

7 Citations (Scopus)

Abstract

For face and facial expression recognition, it is necessary to estimate head motion in order to track a head continuously. This paper proposes a new method for estimating head motion using the epipolar geometry of a weak perspective projection model. In this method, first, the head region is segmented from the gradient of a luminance, by approximating the contour of the head as a circle. Then, feature points such as local extremum or saddle points of a luminance distribution are traded over successive frames. Finally, angles of rotation of the head during two successive frames are estimated from the coordinates of those feature points successfully tracked in these frames. Experiments were performed on a workstation in real time and the results showed that the method performs well in estimating head motion.

Original language	English
Title of host publication	Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	220-225
Number of pages	6
ISBN (Electronic)	0818686065, 9780818686061
DOIs	https://doi.org/10.1109/ACV.1998.732883
Publication status	Published - 1998 Jan 1
Externally published	Yes
Event	4th IEEE Workshop on Applications of Computer Vision, WACV 1998 - Princeton, United States Duration: 1998 Oct 19 → 1998 Oct 21

Publication series

Name	Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998
Volume	1998-October

Other

Other	4th IEEE Workshop on Applications of Computer Vision, WACV 1998
Country/Territory	United States
City	Princeton
Period	98/10/19 → 98/10/21

ASJC Scopus subject areas

Computer Science Applications
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ACV.1998.732883

Cite this

Otsuka, T., & Ohya, J. (1998). Real-time estimation of head motion using weak perspective epipolar geometry. In Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998 (pp. 220-225). [732883] (Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998; Vol. 1998-October). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACV.1998.732883

Real-time estimation of head motion using weak perspective epipolar geometry. / Otsuka, T.; Ohya, J.

Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998. Institute of Electrical and Electronics Engineers Inc., 1998. p. 220-225 732883 (Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998; Vol. 1998-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Otsuka, T & Ohya, J 1998, Real-time estimation of head motion using weak perspective epipolar geometry. in Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998., 732883, Proceedings - 4th IEEE Workshop on Applications of Computer Vision, WACV 1998, vol. 1998-October, Institute of Electrical and Electronics Engineers Inc., pp. 220-225, 4th IEEE Workshop on Applications of Computer Vision, WACV 1998, Princeton, United States, 98/10/19. https://doi.org/10.1109/ACV.1998.732883

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abstract = "For face and facial expression recognition, it is necessary to estimate head motion in order to track a head continuously. This paper proposes a new method for estimating head motion using the epipolar geometry of a weak perspective projection model. In this method, first, the head region is segmented from the gradient of a luminance, by approximating the contour of the head as a circle. Then, feature points such as local extremum or saddle points of a luminance distribution are traded over successive frames. Finally, angles of rotation of the head during two successive frames are estimated from the coordinates of those feature points successfully tracked in these frames. Experiments were performed on a workstation in real time and the results showed that the method performs well in estimating head motion.",

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AB - For face and facial expression recognition, it is necessary to estimate head motion in order to track a head continuously. This paper proposes a new method for estimating head motion using the epipolar geometry of a weak perspective projection model. In this method, first, the head region is segmented from the gradient of a luminance, by approximating the contour of the head as a circle. Then, feature points such as local extremum or saddle points of a luminance distribution are traded over successive frames. Finally, angles of rotation of the head during two successive frames are estimated from the coordinates of those feature points successfully tracked in these frames. Experiments were performed on a workstation in real time and the results showed that the method performs well in estimating head motion.

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Real-time estimation of head motion using weak perspective epipolar geometry

Abstract

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ASJC Scopus subject areas

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