LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation

Ruida Zhang; Ziqin Huang; Gu Wang; Chenyangguang Zhang; Di Yan; Xingxing Zuo; Jiwen Tang; Xiangyang Ji

doi:10.1007/978-3-031-72698-9_27

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LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation

Ruida Zhang Ziqin Huang Gu Wang Chenyangguang Zhang Di Yan Xingxing Zuo Jiwen Tang Xiangyang Ji

Year: 2024 Lecture notes in computer science Pages: 467-484 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-031-72698-9_27

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Keywords:

Computer science Artificial intelligence Computer vision RGB color model Object (grammar) Laplace operator Pose Pattern recognition (psychology) Mathematics

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Robot Manipulation and Learning

Physical Sciences → Engineering → Control and Systems Engineering

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

LaPose: Laplacian Mixture Shape Modeling for RGB-Based Category-Level Object Pose Estimation

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