RGB-D Image Analysis and Processing

Description

This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. The topics covered include: data acquisition, data quality assessment, filling holes, 3D reconstruction, SLAM, multiple depth camera systems, segmentation, object detection, salience detection, pose estimation, geometric modelling, fall detection, autonomous driving, motor rehabilitation therapy, people counting and cognitive service robots. The availability of cheap RGB-D sensors has led to an explosion over the last five years in the capture and application of colour plus depth data. The addition of depth data to regular RGB images vastly increases the range of applications, and has resulted in a demand for robust and real-time processing of RGB-D data. There remain many technical challenges, and RGB-D image processing is an ongoing research area. This book covers the full state of the art, and consists of a series of chapters by internationally renowned experts in the field. Each chapter is written so as to provide a detailed overview of that topic. RGB-D Image Analysis and Processing will enable both students and professional developers alike to quickly get up to speed with contemporary techniques, and apply RGB-D imaging in their own projects. Front Matter ....Pages i-xi Front Matter ....Pages 1-1 Commodity RGB-D Sensors: Data Acquisition (Michael Zollhöfer)....Pages 3-13 Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation (Amir Atapour-Abarghouei, Toby P. Breckon)....Pages 15-50 Depth Super-Resolution with Color Guidance: A Review (Jingyu Yang, Zhongyu Jiang, Xinchen Ye, Kun Li)....Pages 51-65 RGB-D Sensors Data Quality Assessment and Improvement for Advanced Applications (Pablo Rodríguez-Gonzálvez, Gabriele Guidi)....Pages 67-86 3D Reconstruction from RGB-D Data (Charles Malleson, Jean-Yves Guillemaut, Adrian Hilton)....Pages 87-115 RGB-D Odometry and SLAM (Javier Civera, Seong Hun Lee)....Pages 117-144 Enhancing 3D Capture with Multiple Depth Camera Systems: A State-of-the-Art Report (Oscar Meruvia-Pastor)....Pages 145-166 Front Matter ....Pages 167-167 RGB-D Image-Based Object Detection: From Traditional Methods to Deep Learning Techniques (Isaac Ronald Ward, Hamid Laga, Mohammed Bennamoun)....Pages 169-201 RGB-D Salient Object Detection: A Review (Tongwei Ren, Ao Zhang)....Pages 203-220 Foreground Detection and Segmentation in RGB-D Images (Runmin Cong, Hao Chen, Hongyuan Zhu, Huazhu Fu)....Pages 221-241 Instance- and Category-Level 6D Object Pose Estimation (Caner Sahin, Guillermo Garcia-Hernando, Juil Sock, Tae-Kyun Kim)....Pages 243-265 Geometric and Semantic Modeling from RGB-D Data (Song-Hai Zhang, Yu-Kun Lai)....Pages 267-282 Front Matter ....Pages 283-283 Semantic RGB-D Perception for Cognitive Service Robots (Max Schwarz, Sven Behnke)....Pages 285-307 RGB-D Sensors and Signal Processing for Fall Detection (Susanna Spinsante)....Pages 309-334 RGB-D Interactive Systems on Serious Games for Motor Rehabilitation Therapy and Therapeutic Measurements (Gabriel Moyà-Alcover, Ines Ayed, Javier Varona, Antoni Jaume-i-Capó)....Pages 335-353 Real-Time Hand Pose Estimation Using Depth Camera (Liuhao Ge, Junsong Yuan, Nadia Magnenat Thalmann)....Pages 355-376 RGB-D Object Classification for Autonomous Driving Perception (Cristiano Premebida, Gledson Melotti, Alireza Asvadi)....Pages 377-395 People Counting in Crowded Environment and Re-identification (Emanuele Frontoni, Marina Paolanti, Rocco Pietrini)....Pages 397-425 Back Matter ....Pages 427-524