首页|Reports from Changchun University of Science and Technology Highlight Recent Fin dings in Intelligent Systems (Improved Shapefrom- template Method With Perspecti ve Space Constraints for Disappearing Features)
Reports from Changchun University of Science and Technology Highlight Recent Fin dings in Intelligent Systems (Improved Shapefrom- template Method With Perspecti ve Space Constraints for Disappearing Features)
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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.
ChangchunPeople’s Republic of ChinaA siaIntelligent SystemsMachine LearningChangchun University of Science and Technology
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