Consumer Depth Cameras for Computer Vision

1. 3D with Kinect
Jan Smisek, Michal Jancosek, Tomas Pajdla

2. Real-Time RGB-D Mapping and 3-D Modeling on the GPU Using the Random Ball Cover
Sebastian Bauer, Jakob Wasza, Felix Lugauer, Dominik Neumann, Joachim Hornegger

3. A Brute Force Approach to Depth Camera Odometry
Jonathan Israël, Aurélien Plyer

4. Key Developments in Human Pose Estimation for Kinect
Pushmeet Kohli, Jamie Shotton

5. A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera
Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel, Christian Theobalt

6. Home 3D Body Scans from a Single Kinect
Alexander Weiss, David Hirshberg, Michael J. Black

7. Real Time Hand Pose Estimation Using Depth Sensors
Cem Keskin, Furkan Kıraç, Yunus Emre Kara, Lale Akarun

8. A Category-Level 3D Object Dataset: Putting the Kinect to Work
Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, Trevor Darrell

9. RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark
Kevin Lai, Liefeng Bo, Xiaofeng Ren, Dieter Fox

10. RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition
Bingbing Ni, Gang Wang, Pierre Moulin

Nyckelord: Computer Science, Image Processing and Computer Vision, Pattern Recognition, Computer Graphics