June 11, 2024, 4:50 a.m. | Shivansh Chandra Tripathi, Rahul Garg

cs.CV updates on arXiv.org arxiv.org

arXiv:2406.05434v1 Announce Type: new
Abstract: The development of existing facial coding systems, such as the Facial Action Coding System (FACS), relied on manual examination of facial expression videos for defining Action Units (AUs). To overcome the labor-intensive nature of this process, we propose the unsupervised learning of an automated facial coding system by leveraging computer-vision-based facial keypoint tracking. In this novel facial coding system called the Data-driven Facial Expression Coding System (DFECS), the AUs are estimated by applying dimensionality reduction …

abstract action arxiv coding cs.cv cs.hc data data-driven development facial expression labor nature process systems tracking type units unsupervised unsupervised learning videos

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