RGB-D Object Dataset

Publications

• Unsupervised Feature Learning for 3D Scene Labeling
  K. Lai, L. Bo, and D. Fox. ICRA 2014, May 2014.
  Finalist for Best Vision Paper Award.
• RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark
  K. Lai, L. Bo, X. Ren, and D. Fox. In Consumer Depth Cameras for Computer Vision: Research Topics and Applications, 2013.
• Unsupervised Feature Learning for RGB-D Based Object Recognition
  L. Bo, X. Ren, and D. Fox. ISER 2012, June 2012.
• Detection-based Object Labeling in 3D Scenes
  K. Lai, L. Bo, X. Ren, and D. Fox. ICRA 2012, May 2012.
• Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms
  L. Bo, X. Ren, and D. Fox. NIPS 2011, December 2011.
• Depth Kernel Descriptors for Object Recognition
  L. Bo, X. Ren, and D. Fox. IROS 2011, September 2011.
• A Scalable Tree-based Approach for Joint Object and Pose Recognition
  K. Lai, L. Bo, X. Ren, and D. Fox. AAAI 2011, August 2011.
• Object Recognition with Hierarchical Kernel Descriptors
  L. Bo, K. Lai, X. Ren, and D. Fox. CVPR 2011, June 2011.
• Sparse Distance Learning for Object Recognition Combining RGB and Depth Information
  K. Lai, L. Bo, X. Ren, and D. Fox. ICRA 2011, May 2011.
  Best Vision Paper Award.
• A Large-Scale Hierarchical Multi-View RGB-D Object Dataset
  K. Lai, L. Bo, X. Ren, and D. Fox. ICRA 2011, May 2011.
• Kernel Descriptors for Visual Recognition
  L. Bo, X. Ren, and D. Fox. NIPS 2010, December 2010.

Publications with experiments using the RGB-D Object Dataset (Non-Exhaustive List)

• Learning to Discover Objects in RGB-D Images Using Correlation Clustering
  Michael Firman, Diego Thomas, Simon Julier and Akihiro Sugimoto. IROS 2013, Nov 2013.
• Joint Object and Pose Recognition using Homeomorphic Manifold Analysis
  H. Zhang, T. El-Gaaly, and A. Elgammal. AAAI 2013, July 2013.
• RGBD object pose recognition using local-global multi-kernel regression
  T. El-Gaaly, M. Torki, A. Elgammal, and M. Singh. ICPR 2012, Nov 2012.
• Tutorial: Point Cloud Library: Three-Dimensional Object Recognition and 6 DOF Pose Estimation.
  A. Aldoma, Z-C. Marton, F. Tombari, W. Wohlkinger, C. Potthast, B. Zeisl, R. B. Rusu, S. Gedikli, and M. Vincze. IEEE Robotics & Automation Magazine, 2012.
• A Learned Feature Descriptor for Object Recognition in RGB-D Data
  M. Blum, J. T. Springenberg, J. Wülfing and M. Riedmiller. ICRA 2012, May 2012.