38 citations · 79 across the 9 of their papers we have counts for
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cs.CV2017★ 1 cited
Recovering 6D Object Pose: A Review and Multi-modal Analysis
Caner Sahin, Tae-Kyun Kim
A large number of studies analyse object detection and pose estimation at visual level in 2D, discussing the effects of challenges such as occlusion, clutter, texture, etc., on the…
cs.CV2017★ 3 cited
A Learning-based Variable Size Part Extraction Architecture for 6D Object Pose Recovery in Depth
Caner Sahin, Rigas Kouskouridas, Tae-Kyun Kim
State-of-the-art techniques for 6D object pose recovery depend on occlusion-free point clouds to accurately register objects in 3D space. To deal with this shortcoming, we introduc…