Fossati, Andrea
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
Avainsanat: Computer Science, Image Processing and Computer Vision, Pattern Recognition, Computer Graphics
- Tekijä(t)
- Fossati, Andrea
- Gall, Juergen
- Grabner, Helmut
- Ren, Xiaofeng
- Konolige, Kurt
- Julkaisija
- Springer
- Julkaisuvuosi
- 2013
- Kieli
- en
- Painos
- 2013
- Sarja
- Advances in Computer Vision and Pattern Recognition
- Sivumäärä
- 16 sivua
- Kategoria
- Tietotekniikka, tietoliikenne
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9781447146407