HIGHLIGHTS
- who: Yassine Hammadi et al. from the Department of Electrical and Computer Engineering, Faculty of Engineering, Universitu00e9 de Sherbrooke, Sherbrooke, QC J H , Canada have published the research work: Evaluation of Various State of the Art Head Pose Estimation Algorithms for Clinical Scenarios, in the Journal: Sensors 2022, 22, 6850. of /2022/
- what: There are two main contributions for this paper: the authors review the state of the art of the existing algorithms for face pose estimation, paired with a discussion on the advantages and disadvantages inherent to each approach and_(2) the authors assess . . .
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