2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.CV2022
Next-Best-View Prediction for Active Stereo Cameras and Highly Reflective Objects
Jun Yang, Steven L. Waslander
Depth acquisition with the active stereo camera is a challenging task for highly reflective objects. When setup permits, multi-view fusion can provide increased levels of depth com…
cs.RO2021
ROBI: A Multi-View Dataset for Reflective Objects in Robotic Bin-Picking
Jun Yang, Yizhou Gao, Dong Li +1
In robotic bin-picking applications, the perception of texture-less, highly reflective parts is a valuable but challenging task. The high glossiness can introduce fake edges in RGB…
cs.RO2021★ 2 cited
Probabilistic Multi-View Fusion of Active Stereo Depth Maps for Robotic Bin-Picking
Jun Yang, Dong Li, Steven L. Waslander
The reliable fusion of depth maps from multiple viewpoints has become an important problem in many 3D reconstruction pipelines. In this work, we investigate its impact on robotic b…