The article discusses the challenge of 6D object pose estimation and the improved accuracy achieved by incorporating stereo vision. It highlights the creation of a BOP compatible stereo version of the YCB-V dataset. The use of stereo vision has shown to outperform other 6D pose estimation algorithms and can be easily adopted for other dense feature-based algorithms. This work holds significant implications for various fields, such as robotics, quality control, and augmented reality, where precise object pose estimation is crucial.
Publication date: 8 Feb 2024
Project Page: https://arxiv.org/abs/2402.05610
Paper: https://arxiv.org/pdf/2402.05610
