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사람-동물 3차원 자세 및 형상 추정을 위한 단일 통합 모델
김유왕(Kim Youwang),김지연(Kim Ji-Yeon),주경돈(Kyungdon Joo),오태현(Tae-Hyun Oh) 대한전자공학회 2021 대한전자공학회 학술대회 Vol.2021 No.6
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.