RGB-D Image Analysis and Processing

Häftad, Engelska, 2020

Del i serien Advances in Computer Vision and Pattern Recognition

2 422 kr

Beställningsvara. Skickas inom 10-15 vardagar. Fri frakt över 249 kr.

Beskrivning

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

Utgivningsdatum:2020-11-06
Mått:155 x 235 x 29 mm
Vikt:803 g
Format:Häftad
Språk:Engelska
Serie:Advances in Computer Vision and Pattern Recognition
Antal sidor:524
Förlag:Springer Nature Switzerland AG
ISBN:9783030286057

Utforska kategorier

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

Innehållsförteckning

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