Consumer Depth Cameras for Computer Vision: Research Topics and Applications - Tapa blanda

Sinopsis

Part I: 3D Registration and Reconstruction

3D with Kinect
Jan Smisek, Michal Jancosek, and Tomas Pajdla

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, and Joachim Hornegger

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

Part II: Human Body Analysis

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

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

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

Real-Time Hand Pose Estimation using Depth Sensors
Cem Keskin, Furkan Kıraç, Yunus Emre Kara, and Lale Akarun

Part III: RGB-D Datasets

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

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

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

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