RGB-D Image Analysis and Processing

Häftad, Engelska, 2020

AvPaul L. Rosin,Yu-Kun Lai,Ling Shao,Yonghuai Liu

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This book focuses on the fundamentals and recent advances in RGB-D imaging as well as covering a range of RGB-D applications. 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.

Produktinformation

Utgivningsdatum2020-11-06
Mått155 x 235 x undefined mm
FormatHäftad
SpråkEngelska
SerieAdvances in Computer Vision and Pattern Recognition
Antal sidor524
FörlagSpringer Nature Switzerland AG
ISBN9783030286057

Tillhör följande kategorier

Systemvetenskap och AI inom Data och it
Artificiell intelligens inom Data och it
Människa – datorinteraktion inom Data och it

Part I RGB-D Data Acquisition and Processing.- RGB-D Sensors: Data Acquisition.- Dealing with Missing Depth: Recent Advances in Depth Image Completion and Estimation.- Depth Super-resolution With Color Guidance: A Review.- RGB-D Sensors Data Quality Assessment and Improvement for Advanced Applications.- 3D Reconstruction from RGB-D Data.- RGB-D Odometry and SLAM.- Enhancing 3D Capture with Multiple Depth Camera Systems: A State-of-the-Art Report.- Part II RGB-D Data Analysis.- RGB-D Image-based Object Detection: from Traditional Methods to Deep Learning Techniques.- RGB-S Salient Object Detection: A Review.- Foreground Detection and segmentation in RGB-D Images.- Instance- and Category-level 6d Object Pose Estimation.- Part III RGB-D Applications.- Semantic RGB-D Perception for Cognitive Service Robots.- RGB-D Sensors and Signal Processing for Fall Detection.- RGB-D Interactive Systems on Serious Games for Motor Rehabilitation Therapy and Therapeutic Measurements.- Real-Time Hand Pose Estimation using Depth Camera.-RGB-D Object Classification for Autonomous Driving Perception.- People Counting in Crowded Environment and Re-identification.- References.- Index