Consumer Depth Cameras for Computer Vision

<p>Part I: 3D Registration and Reconstruction</p><p>3D with Kinect<br>Jan Smisek, Michal Jancosek, and Tomas Pajdla</p><p>Real-Time RGB-D Mapping and 3-D Modeling on the GPU using the Random Ball Cover<br>Sebastian Bauer, Jakob Wasza, Felix Lugauer, Dominik Neumann, and Joachim Hornegger</p><p>A Brute Force Approach to Depth Camera Odometry<br>Jonathan Israël, and Aurélien Plyer</p><p>Part II: Human Body Analysis</p><p>Key Developments in Human Pose Estimation for Kinect<br>Pushmeet Kohli, and Jamie Shotton</p><p>A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera<br>Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel, and Christian Theobalt</p><p>Home 3D Body Scans from a Single Kinect<br>Alexander Weiss, David Hirshberg, and Michael J. Black</p><p>Real-Time Hand Pose Estimation using Depth Sensors<br>Cem Keskin, Furkan Kıraç, Yunus Emre Kara, and Lale Akarun</p><p>Part III: RGB-D Datasets</p><p>A Category-Level 3D Object Dataset: Putting the Kinect to Work<br>Allison Janoch, Sergey Karayev, Yangqing Jia, Jonathan T. Barron, Mario Fritz, Kate Saenko, and Trevor Darrell</p><p>RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark<br>Kevin Lai, Liefeng Bo, Xiaofeng Ren, and Dieter Fox</p>RGBD-HuDaAct: A Color-Depth Video Database for Human Daily Activity Recognition<br>Bingbing Ni, Gang Wang, and Pierre Moulin