A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images

Xavier I, Pereira M, Giraldi GA, Gibson S, Solomon C, Rueckert D, Gillies D, Thomaz C (2016)


Publication Type: Conference contribution

Publication year: 2016

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 80-85

Conference Proceedings Title: Proceedings - 2015 6th International Conference on Emerging Security Technologies, EST 2015

Event location: Braunschweig, DEU

ISBN: 9781467397995

DOI: 10.1109/EST.2015.17

Abstract

This work describes a photo-realistic generator that creates semi-automatically face images of unseen subjects. Unlike previously described methods for generating face imagery, the approach described herein incorporates texture and shape information in a single computational framework based on high dimensional encoding of variance and discriminant information from sample groups. The method produces realistic, frontal pose, images with minimum manual intervention. We believe that the work presented describes a useful tool for face perception applications where privacy-preserving analysis might be an issue and the goal is not the recognition of the face itself, but rather its characteristics like gender, age or race, commonly explored in social and forensic contexts.

Involved external institutions

How to cite

APA:

Xavier, I., Pereira, M., Giraldi, G.A., Gibson, S., Solomon, C., Rueckert, D.,... Thomaz, C. (2016). A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images. In Proceedings - 2015 6th International Conference on Emerging Security Technologies, EST 2015 (pp. 80-85). Braunschweig, DEU: Institute of Electrical and Electronics Engineers Inc..

MLA:

Xavier, I., et al. "A Photo-Realistic Generator of Most Expressive and Discriminant Changes in 2D Face Images." Proceedings of the 6th International Conference on Emerging Security Technologies, EST 2015, Braunschweig, DEU Institute of Electrical and Electronics Engineers Inc., 2016. 80-85.

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