Abstract. Facial expression recognition has been the subject of much research in the last years within the Computer Vision community.
Dec 7, 2015 · This work makes an extensive experimental study of smile detection testing the Local Binary Patterns (LBP) combined with self similarity (LAC) ...
This work makes an extensive experimental study of smile detection testing the Local Binary Patterns (LBP) combined with self similarity (LAC) as main ...
Abstract. Facial expression recognition has been the subject of much research in the last years within the Computer Vision community.
This work makes an extensive experimental study of smile detection testing the Local Binary Patterns (LBP) combined with self similarity (LAC) as main ...
A Study for the Self Similarity Smile Detection. https://doi.org/10.1007/978 ... Smile and laughter recognition using speech processing and face recognition from ...
Abstract: This work makes an extensive experimental study of smile detection testing the Local Binary Patterns (LBP) combined with self similarity (LAC) as main ...
This paper presents a new approach to practical smile detection and the primary contributions are three-fold. (1) In the image registration procedure, an eyes- ...
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Jan 22, 2016 · Therefore, in this paper, we study smile detection problem in unconstrained scenarios. A real-world database, GENKI-4K, the only publicly ...
Feb 9, 2019 · Their main focus is on smile detection in unconstrained scenarios. They proposed a new descriptor called Self-Similarity of. Gradients (GSS), ...