Recent advances in age and height estimation from still images and video

Rama Chellappa; Pavan Turaga

doi:10.1109/FG.2011.5771367

Recent advances in age and height estimation from still images and video

Rama Chellappa, Pavan Turaga

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

6 Scopus citations

Abstract

Soft-biometrics such as gender, age, race, etc have been found to be useful characterizations that enable fast pre-filtering and organization of data for biometric applications. In this paper, we focus on two useful soft-biometrics age and height. We discuss their utility and the factors involved in their estimation from images and videos. In this context, we highlight the role that geometric constraints such as multiview-geometry, and shape-space geometry play. Then, we present methods based on these geometric constraints for age and height-estimation. These methods provide a principled means by fusing image-formation models, multi-view geometric constraints, and robust statistical methods for inference.

Original language	English (US)
Title of host publication	2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
Pages	91-96
Number of pages	6
DOIs	https://doi.org/10.1109/FG.2011.5771367
State	Published - Jun 17 2011
Externally published	Yes
Event	2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 - Santa Barbara, CA, United States Duration: Mar 21 2011 → Mar 25 2011

Publication series

Name	2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011

Other

Other	2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011
Country/Territory	United States
City	Santa Barbara, CA
Period	3/21/11 → 3/25/11

ASJC Scopus subject areas

Artificial Intelligence
Computer Vision and Pattern Recognition

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10.1109/FG.2011.5771367

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Chellappa, R., & Turaga, P. (2011). Recent advances in age and height estimation from still images and video. In 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011 (pp. 91-96). [5771367] (2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011). https://doi.org/10.1109/FG.2011.5771367

Recent advances in age and height estimation from still images and video. / Chellappa, Rama; Turaga, Pavan.

2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011. 2011. p. 91-96 5771367 (2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011).

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

Chellappa, R & Turaga, P 2011, Recent advances in age and height estimation from still images and video. in 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011., 5771367, 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, pp. 91-96, 2011 IEEE International Conference on Automatic Face and Gesture Recognition and Workshops, FG 2011, Santa Barbara, CA, United States, 3/21/11. https://doi.org/10.1109/FG.2011.5771367

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Recent advances in age and height estimation from still images and video

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