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주경돈

Joo, Kyungdon
Robotics and Visual Intelligence Lab.
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사람-동물 3차원 자세 및 형상 추정을 위한 단일 통합 모델

Alternative Title
Unified Pose and Shape Model for 3D Human-Animal Reconstruction
Author(s)
김유왕김지연주경돈오태현
Issued Date
2021-07-02
URI
https://scholarworks.unist.ac.kr/handle/201301/77209
Fulltext
https://www.dbpia.co.kr/journal/articleDetail?nodeId=NODE10591533
Citation
대한전자공학회 2021년도 하계종합학술대회
Abstract
Reconstructing the 3D shape and pose of humans and animals is essential in many future applications, such as autonomous vehicle’s Forward Collision Avoidance Assist (FCA) algorithms. In this work, we leverage well designed low dimensional linear mesh models of human and animal, SMPL and SMAL, to jointly regress the 3D mesh for a single input RGB image. We show that our joint regression network can learn anatomical similarities among humans and other various animal species.
Publisher
대한전자공학회

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