完成
发表于 2025-3-26 22:41:17
FACTS - A Computer Vision System for 3D Recovery and Semantic Mapping of Human Factorsptor matching methodologies for the 3D modeling, localization and fully automated annotation of ROIs (regions of interest) within the acquired 3D model. This methodology brings new potential into automated processing of human factors, opening new avenues for attention studies.
debble
发表于 2025-3-27 02:23:05
Model-Based Pose Estimation for Rigid Objectsse initialization and convergence. Furthermore, it is extendable to multiple cameras without the need to perform multi-view matching and relies on sparse structure from motion techniques for the construction of object models offline. Experimental results demonstrate its accuracy and robustness.
发起
发表于 2025-3-27 09:16:22
http://reply.papertrans.cn/24/2341/234031/234031_33.png
myocardium
发表于 2025-3-27 12:10:49
http://reply.papertrans.cn/24/2341/234031/234031_34.png
gregarious
发表于 2025-3-27 15:31:39
A New Hierarchical Method for Markerless Human Pose EstimationIn order to gain the robust results, we discard the interior voxel data, use the middle voxel data for motion tracking, and use the surface voxel data for global optimization. The experiment results show that the method is valid and robust.
engagement
发表于 2025-3-27 19:29:28
http://reply.papertrans.cn/24/2341/234031/234031_36.png
洞察力
发表于 2025-3-27 23:34:01
http://reply.papertrans.cn/24/2341/234031/234031_37.png
浪费时间
发表于 2025-3-28 03:50:49
http://reply.papertrans.cn/24/2341/234031/234031_38.png
ALLEY
发表于 2025-3-28 06:15:36
http://reply.papertrans.cn/24/2341/234031/234031_39.png
钩针织物
发表于 2025-3-28 10:47:50
http://reply.papertrans.cn/24/2341/234031/234031_40.png