Crowdsourcing facial responses to online videos. IEEE Trans. Affective Comput. 99, 456–468 (2012) doi:10.1186/1687-5281-2013-13 Cite this article as: Çeliktutan et al.: A comparative study of face landmarking techniques. EURASIP Journal on Image and Video
Year: 2015
Type: article
Authors: Daniel Mcduff, Student Member, Rana El Kaliouby, Rosalind W. Picard
Language: English
Topic: Emotion and Mood Recognition
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
OpenAlex ID: W7099457084