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pro vyhledávání: '"Cho, Soonyong"'
Point scene understanding is a challenging task to process real-world scene point cloud, which aims at segmenting each object, estimating its pose, and reconstructing its mesh simultaneously. Recent state-of-the-art method first segments each object
Externí odkaz:
http://arxiv.org/abs/2403.16431
Depth-based 3D hand pose estimation is an important but challenging research task in human-machine interaction community. Recently, dense regression methods have attracted increasing attention in 3D hand pose estimation task, which provide a low comp
Externí odkaz:
http://arxiv.org/abs/2403.13405
Publikováno v:
The 2024 IEEE International Conference on Robotics and Automation (ICRA2024)
Recent deep learning based visual simultaneous localization and mapping (SLAM) methods have made significant progress. However, how to make full use of visual information as well as better integrate with inertial measurement unit (IMU) in visual SLAM
Externí odkaz:
http://arxiv.org/abs/2309.13814