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ORCIDConsumer Depth Cameras for Computer Vision 2013
- Andrea Fossati, Juergen Gall, Helmut Grabner, Xiaofeng Ren, Kurt Konolige:
Consumer Depth Cameras for Computer Vision, Research Topics and Applications. Advances in Computer Vision and Pattern Recognition, Springer 2013, ISBN 978-1-4471-4639-1
3D Registration and Reconstruction
- Jan Smisek, Michal Jancosek, Tomás Pajdla:
3D with Kinect. 3-25 - Sebastian Bauer, Jakob Wasza, Felix Lugauer, Dominik Neumann, Joachim Hornegger:
Real-Time RGB-D Mapping and 3-D Modeling on the GPU Using the Random Ball Cover. 27-48 - Jonathan Israel, Aurélien Plyer:
A Brute Force Approach to Depth Camera Odometry. 49-60
Human Body Analysis
- Pushmeet Kohli, Jamie Shotton:
Key Developments in Human Pose Estimation for Kinect. 63-70 - Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel, Christian Theobalt
:
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera. 71-98 - Alexander Weiss, David A. Hirshberg, Michael J. Black:
Home 3D Body Scans from a Single Kinect. 99-117 - Cem Keskin, Furkan Kiraç, Yunus Emre Kara, Lale Akarun:
Real Time Hand Pose Estimation Using Depth Sensors. 119-137
RGB-D Datasets
- Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell:
A Category-Level 3D Object Dataset: Putting the Kinect to Work. 141-165 - Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox:
RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark. 167-192 - Bingbing Ni, Gang Wang, Pierre Moulin:
RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition. 193-208
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