Robotics & Machine Learning Daily News2024,Issue(Nov.12) :52-53.

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)

中国科学院的研究成果在机器学习(通过正态地图进行三维头部姿态估计:深度Ima GE、点云和网格的广义解)方面产生了新的发现

Robotics & Machine Learning Daily News2024,Issue(Nov.12) :52-53.

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)

中国科学院的研究成果在机器学习(通过正态地图进行三维头部姿态估计:深度Ima GE、点云和网格的广义解)方面产生了新的发现

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器学习的最新研究结果已经发表。据新闻报道NewsRx记者从中国人民日报北京报道,研究称,"头部姿势"在各种应用中,包括人机交互、自主学习、驱动系统和三维重建。目前的方法主要是从二维的角度来解决这个问题透视图,这限制了三维信息的有效利用。

Abstract

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.”

Key words

Beijing/People’s Republic of China/Asi a/Machine Learning/Chinese Academy of Sciences

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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