Search Results for author: Joel Vidal

Found 3 papers, 1 papers with code

6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping

no code implementations11 Nov 2021 Tuan-Tang Le, Trung-Son Le, Yu-Ru Chen, Joel Vidal, Chyi-Yeu Lin

Finally, to illustrate the overall efficiency of the system in real-time operations, a pick-and-place robotic experiment is conducted and has shown a convincing success rate with 90% of accuracy.

3D Object Recognition 6D Pose Estimation +1

6D Pose Estimation using an Improved Method based on Point Pair Features

no code implementations23 Feb 2018 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 alternative to the traditional local and global pipelines.

6D Pose Estimation 6D Pose Estimation using RGB

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