首页|Findings from Chinese Academy of Sciences Yields New Findings on Machine Learnin g (3d Head Pose Estimation Via Normal Maps: a Generalized Solution for Depth Ima ge, Point Cloud, and Mesh)
Findings from Chinese Academy of Sciences Yields New Findings on Machine Learnin g (3d Head Pose Estimation Via Normal Maps: a Generalized Solution for Depth Ima ge, Point Cloud, and Mesh)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Current study results on Machine Learn ing have been published. According to newsreporting from Beijing, People’s Repu blic of China, by NewsRx journalists, research stated, “Head poseestimation pla ys a crucial role in various applications, including human-machine interaction, autonomousdriving systems, and 3D reconstruction. Current methods address the p roblem primarily from a 2Dperspective, which limits the efficient utilization o f 3D information.”
BeijingPeople’s Republic of ChinaAsi aMachine LearningChinese Academy of Sciences
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