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Detecting 3D keypoints with semantic consistency is widely used in many scenarios such as pose estimation, shape registration and robotics. Currently, most unsupervised 3D keypoint detection methods focus on the rigid-body objects. However, when face
Externí odkaz:
http://arxiv.org/abs/2410.02237
Autor:
Ke, Jinghan
0048
甲第22025号
経博第602号
新制||経||290(附属図書館)
学位規則第4条第1項該当
Doctor of Economics
Kyoto University
DGAM
甲第22025号
経博第602号
新制||経||290(附属図書館)
学位規則第4条第1項該当
Doctor of Economics
Kyoto University
DGAM
Externí odkaz:
http://hdl.handle.net/2433/244506