摘要
由一位新闻记者兼机器人与机器学习的工作人员新闻编辑每日新闻-机器学习-智能系统的最新研究结果已经发表。根据NewsRx记者在中国长春的新闻报道，研究表明：“从单目摄像机拍摄的二维图像中推断已知模板的三维表面形状是一个具有挑战性的问题。由于问题的严重不足，当模板呈现高曲率时，准确推断形状变得特别困难。”导致特征点消失，推断和实际变形之间存在显著差异。本研究的资金来源包括吉林省自然科学基金、吉林省自然科学基金。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing - Intelligent Systems have been published. According to news reporting from Changchun, People’s Republic of China, by NewsRx journalists, research stated, “ Inferring the 3D surface shape of a known template from 2D images captured by a monocular camera is a challenging problem. Due to the severely underconstrained nature of the problem, inferring shape accurately becomes particularly challengi ng when the template exhibits high curvature, resulting in the disappearance of feature points and significant differences between the inferred and actual defor mations.” Financial supporters for this research include Natural Science Foundation of Jil in Province, Jilin Provincial Natural Science Foundation.
NETL
NSTL