Dataset_FEVOR
Published: 13 October 2020| Version 3 | DOI: 10.17632/chnsdxfg7y.3
Contributor:
Piyush JoshiDescription
For the performance evaluation on the cluttered data, we propose to present a dataset of 10 texture-less objects acquired by a lightweight handy 3D RGBD camera (Intel Realsense D435). The presence of partial reference models, shiny objects, and cluttered scenes with varying distances and rotations are the challenges found in the proposed dataset for recognition techniques. We also provide code of our proposed technique FEVOR. If you have any query please contact me. Email: piyushjoshi3839@gmail.com
Files
Institutions
University of Birmingham
Categories
Object Recognition, 3D Analysis, Recognition, 3D Data Capture