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cs.CV2022
Geo6D: Geometric Constraints Learning for 6D Pose Estimation
Jianqiu Chen, Mingshan Sun, Ye Zheng +7
Numerous 6D pose estimation methods have been proposed that employ end-to-end regression to directly estimate the target pose parameters. Since the visible features of objects are…
cs.CV2022★ 1 cited
Uni6Dv2: Noise Elimination for 6D Pose Estimation
Mingshan Sun, Ye Zheng, Tianpeng Bao +5
Uni6D is the first 6D pose estimation approach to employ a unified backbone network to extract features from both RGB and depth images. We discover that the principal reasons of Un…
cs.CV2022★ 2 cited
Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation
Xiaoke Jiang, Donghai Li, Hao Chen +3
As RGB-D sensors become more affordable, using RGB-D images to obtain high-accuracy 6D pose estimation results becomes a better option. State-of-the-art approaches typically use di…