Transform Facial Expression Space to Euclidean Space Using Riemann Normal Coordinates and Its Applications-Reference-Cited by-同舟云学术

Transform Facial Expression Space to Euclidean Space Using Riemann Normal Coordinates and Its Applications

Published:2019 Issue: Volume: Page:168-178
ISSN:0302-9743
Container-title:Human-Computer Interaction. Recognition and Interaction Technologies
language:
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Author:

Sumiya Runa,Chao Jinhui

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-22643-5_13

Reference28 articles.

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3. Benitez-Quiroz, C.F., Srinivasan, R., Martinez, A.M.: EmotioNet: an accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016)

4. Du, S., Tao, Y., Martinez, A.M.: Compound facial expressions of emotion. Proc. Natl. Acad. Sci. 111(15), E1454–E1462 (2014)

5. Ekman, P., Friesen, W.V.: Facial Action Coding System: A Technique for the Measurement of Facial Movement. Consulting Psychologists Press, Palo Alto (1978)

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