國立虎尾科技大學 |

RGB-D Image Analysis and Processing

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	RGB-D Image Analysis and Processing/ edited by Paul L. Rosin, Yu-Kun Lai, Ling Shao, Yonghuai Liu.
其他作者:	Rosin, Paul L.
面頁冊數:	XI, 524 p. 178 illus., 152 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Optical data processing. -
電子資源:	https://doi.org/10.1007/978-3-030-28603-3
ISBN:	9783030286033

RGB-D Image Analysis and Processing
RGB-D Image Analysis and Processing[electronic resource] /edited by Paul L. Rosin, Yu-Kun Lai, Ling Shao, Yonghuai Liu. - 1st ed. 2019. - XI, 524 p. 178 illus., 152 illus. in color.online resource. - Advances in Computer Vision and Pattern Recognition,2191-6586. - Advances in Computer Vision and Pattern Recognition,.

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 .

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.

ISBN: 9783030286033

Standard No.: 10.1007/978-3-030-28603-3doiSubjects--Topical Terms:

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

RGB-D Image Analysis and Processing
LDR:03994nam a22004335i 4500 001 1006761
003 DE-He213
005 20200701143149.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030286033 $9 978-3-030-28603-3
024 7 $a 10.1007/978-3-030-28603-3 $2 doi
035 $a 978-3-030-28603-3
050 4 $a TA1630-1650
072 7 $a UYT $2 bicssc
072 7 $a COM012000 $2 bisacsh
072 7 $a UYT $2 thema
072 7 $a UYQV $2 thema
082 0 4 $a 006.6 $2 23
082 0 4 $a 006.37 $2 23
245 1 0 $a RGB-D Image Analysis and Processing $h [electronic resource] / $c edited by Paul L. Rosin, Yu-Kun Lai, Ling Shao, Yonghuai Liu.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XI, 524 p. 178 illus., 152 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Advances in Computer Vision and Pattern Recognition, $x 2191-6586
505 0 $a 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 .
520 $a 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.
650 0 $a Optical data processing. $3 639187
650 0 $a User interfaces (Computer systems). $3 1253526
650 0 $a Artificial intelligence. $3 559380
650 1 4 $a Image Processing and Computer Vision. $3 670819
650 2 4 $a User Interfaces and Human Computer Interaction. $3 669793
650 2 4 $a Artificial Intelligence. $3 646849
700 1 $a Rosin, Paul L. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1300392
700 1 $a Lai, Yu-Kun. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1300393
700 1 $a Shao, Ling. $e editor. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 1300394
700 1 $a Liu, Yonghuai. $4 edt $4 http://id.loc.gov/vocabulary/relators/edt $3 885358
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030286026
776 0 8 $i Printed edition: $z 9783030286040
776 0 8 $i Printed edition: $z 9783030286057
830 0 $a Advances in Computer Vision and Pattern Recognition, $x 2191-6586 $3 1256102
856 4 0 $u https://doi.org/10.1007/978-3-030-28603-3
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)