38 citations · 75 across the 2 of their papers we have counts for
3 papers
cs.CV2021★ 37 cited
6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping
Tuan-Tang Le, Trung-Son Le, Yu-Ru Chen +2
Real-time robotic grasping, supporting a subsequent precise object-in-hand operation task, is a priority target towards highly advanced autonomous systems. However, such an algorit…
cs.CV2018★ 38 cited
BOP: Benchmark for 6D Object Pose Estimation
Tomas Hodan, Frank Michel, Eric Brachmann +13
We propose a benchmark for 6D pose estimation of a rigid object from a single RGB-D input image. The training data consists of a texture-mapped 3D object model or images of the obj…
cs.CV2018
6D Pose Estimation using an Improved Method based on Point Pair Features
Joel Vidal, Chyi-Yeu Lin, Robert Martí
The Point Pair Feature (Drost et al. 2010) has been one of the most successful 6D pose estimation method among model-based approaches as an efficient, integrated and compromise alt…