語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
New Development in Robot Vision
~
Behal, Aman.
New Development in Robot Vision
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
New Development in Robot Vision/ edited by Yu Sun, Aman Behal, Chi-Kit Ronald Chung.
其他作者:
Sun, Yu.
面頁冊數:
XVIII, 199 p. 106 illus., 84 illus. in color.online resource. :
Contained By:
Springer Nature eBook
標題:
Robotics. -
電子資源:
https://doi.org/10.1007/978-3-662-43859-6
ISBN:
9783662438596
New Development in Robot Vision
New Development in Robot Vision
[electronic resource] /edited by Yu Sun, Aman Behal, Chi-Kit Ronald Chung. - 1st ed. 2015. - XVIII, 199 p. 106 illus., 84 illus. in color.online resource. - Cognitive Systems Monographs,231867-4925 ;. - Cognitive Systems Monographs,26.
Intensity-Difference Based Monocular Visual Odometry for Planetary Rovers -- Incremental Light Bundle Adjustment: Probabilistic Analysis and Application to Robotic Navigation -- Online Learning of Vision-Based Robot Control during Autonomous Operation -- Semantic and Spatial Content Fusion for Scene Recognition -- Modeling paired objects and their interaction -- Multi-modal Manhattan World Structure Estimation for Domestic Robots -- Improving RGB-D Scene Reconstruction Using Rolling Shutter Rectification -- RMSD: A 3D Real-time Mid-Level Scene Description System -- Probabilistic Active Recognition of Multiple Objects using Hough-based Geometric Matching Features.
The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision. .
ISBN: 9783662438596
Standard No.: 10.1007/978-3-662-43859-6doiSubjects--Topical Terms:
561941
Robotics.
LC Class. No.: TJ210.2-211.495
Dewey Class. No.: 629.892
New Development in Robot Vision
LDR
:03628nam a22004215i 4500
001
969002
003
DE-He213
005
20200706184528.0
007
cr nn 008mamaa
008
201211s2015 gw | s |||| 0|eng d
020
$a
9783662438596
$9
978-3-662-43859-6
024
7
$a
10.1007/978-3-662-43859-6
$2
doi
035
$a
978-3-662-43859-6
050
4
$a
TJ210.2-211.495
050
4
$a
T59.5
072
7
$a
TJFM1
$2
bicssc
072
7
$a
TEC037000
$2
bisacsh
072
7
$a
TJFM1
$2
thema
082
0 4
$a
629.892
$2
23
245
1 0
$a
New Development in Robot Vision
$h
[electronic resource] /
$c
edited by Yu Sun, Aman Behal, Chi-Kit Ronald Chung.
250
$a
1st ed. 2015.
264
1
$a
Berlin, Heidelberg :
$b
Springer Berlin Heidelberg :
$b
Imprint: Springer,
$c
2015.
300
$a
XVIII, 199 p. 106 illus., 84 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
Cognitive Systems Monographs,
$x
1867-4925 ;
$v
23
505
0
$a
Intensity-Difference Based Monocular Visual Odometry for Planetary Rovers -- Incremental Light Bundle Adjustment: Probabilistic Analysis and Application to Robotic Navigation -- Online Learning of Vision-Based Robot Control during Autonomous Operation -- Semantic and Spatial Content Fusion for Scene Recognition -- Modeling paired objects and their interaction -- Multi-modal Manhattan World Structure Estimation for Domestic Robots -- Improving RGB-D Scene Reconstruction Using Rolling Shutter Rectification -- RMSD: A 3D Real-time Mid-Level Scene Description System -- Probabilistic Active Recognition of Multiple Objects using Hough-based Geometric Matching Features.
520
$a
The field of robotic vision has advanced dramatically recently with the development of new range sensors. Tremendous progress has been made resulting in significant impact on areas such as robotic navigation, scene/environment understanding, and visual learning. This edited book provides a solid and diversified reference source for some of the most recent important advancements in the field of robotic vision. The book starts with articles that describe new techniques to understand scenes from 2D/3D data such as estimation of planar structures, recognition of multiple objects in the scene using different kinds of features as well as their spatial and semantic relationships, generation of 3D object models, approach to recognize partially occluded objects, etc. Novel techniques are introduced to improve 3D perception accuracy with other sensors such as a gyroscope, positioning accuracy with a visual servoing based alignment strategy for microassembly, and increasing object recognition reliability using related manipulation motion models. For autonomous robot navigation, different vision-based localization and tracking strategies and algorithms are discussed. New approaches using probabilistic analysis for robot navigation, online learning of vision-based robot control, and 3D motion estimation via intensity differences from a monocular camera are described. This collection will be beneficial to graduate students, researchers, and professionals working in the area of robotic vision. .
650
0
$a
Robotics.
$3
561941
650
0
$a
Automation.
$3
596698
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Optical data processing.
$3
639187
650
1 4
$a
Robotics and Automation.
$3
782979
650
2 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Image Processing and Computer Vision.
$3
670819
700
1
$a
Sun, Yu.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1104070
700
1
$a
Behal, Aman.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
797365
700
1
$a
Chung, Chi-Kit Ronald.
$e
editor.
$4
edt
$4
http://id.loc.gov/vocabulary/relators/edt
$3
1264591
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9783662438602
776
0 8
$i
Printed edition:
$z
9783662438589
776
0 8
$i
Printed edition:
$z
9783662522738
830
0
$a
Cognitive Systems Monographs,
$x
1867-4925 ;
$v
26
$3
1255309
856
4 0
$u
https://doi.org/10.1007/978-3-662-43859-6
912
$a
ZDB-2-ENG
912
$a
ZDB-2-SXE
950
$a
Engineering (SpringerNature-11647)
950
$a
Engineering (R0) (SpringerNature-43712)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入