國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Foundations of computer visioncomput...

Peters, James F.

Foundations of computer visioncomputational geometry, visual image structures and object shape detection /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Foundations of computer visionby James F. Peters.
其他題名:	computational geometry, visual image structures and object shape detection /
作者:	Peters, James F.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xvii, 431 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer eBooks
標題:	Computer vision.
電子資源:	http://dx.doi.org/10.1007/978-3-319-52483-2
ISBN:	9783319524832$q(electronic bk.)

Foundations of computer visioncomputational geometry, visual image structures and object shape detection /
Peters, James F.

Foundations of computer visioncomputational geometry, visual image structures and object shape detection /[electronic resource] :by James F. Peters. - Cham :Springer International Publishing :2017. - xvii, 431 p. :ill. (some col.), digital ;24 cm. - Intelligent systems reference library,v.1241868-4394 ;. - Intelligent systems reference library ;v.24..

Basics Leading to Machine Vision -- Working with Pixels -- Visualising Pixel Intensity Distributions -- Linear Filtering -- Edges, Lines, Corners, Gaussian kernel and Voronoi Meshes -- Delaunay Mesh Segmentation -- Video Processing. An Introduction to Real-Time and Oﬄine Video Analysis -- Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes -- Postscript. Where Do Shapes ﬁt into the Computer Vision Landscape?.

This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classiﬁcation of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classiﬁcation of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and ﬁrst year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.

ISBN: 9783319524832$q(electronic bk.)

Standard No.: 10.1007/978-3-319-52483-2doiSubjects--Topical Terms:

200113
Computer vision.

LC Class. No.: TA1634

Dewey Class. No.: 006.37

Foundations of computer visioncomputational geometry, visual image structures and object shape detection /
LDR:02852nmm a2200325 a 4500 001 509138
003 DE-He213
005 20170913173403.0
006 m d
007 cr nn 008maaau
008 171121s2017 gw s 0 eng d
020 $a 9783319524832$q(electronic bk.)
020 $a 9783319524818$q(paper)
024 7 $a 10.1007/978-3-319-52483-2 $2 doi
035 $a 978-3-319-52483-2
040 $a GP $c GP
041 0 $a eng
050 4 $a TA1634
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.37 $2 23
090 $a TA1634 $b .P481 2017
100 1 $a Peters, James F. $3 280974
245 1 0 $a Foundations of computer vision $h [electronic resource] : $b computational geometry, visual image structures and object shape detection / $c by James F. Peters.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xvii, 431 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Intelligent systems reference library, $x 1868-4394 ; $v v.124
505 0 $a Basics Leading to Machine Vision -- Working with Pixels -- Visualising Pixel Intensity Distributions -- Linear Filtering -- Edges, Lines, Corners, Gaussian kernel and Voronoi Meshes -- Delaunay Mesh Segmentation -- Video Processing. An Introduction to Real-Time and Oﬄine Video Analysis -- Lowe Keypoints, Maximal Nucleus Clusters, Contours and Shapes -- Postscript. Where Do Shapes ﬁt into the Computer Vision Landscape?.
520 $a This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classiﬁcation of image regions. Algorithms provide a practical, step-by-step means of viewing image structures. The implementations of CV methods in Matlab and Mathematica, classiﬁcation of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and ﬁrst year graduate students in Engineering, Computer Science or Applied Mathematics. It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.
650 0 $a Computer vision. $3 200113
650 1 4 $a Engineering. $3 210888
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Image Processing and Computer Vision. $3 274051
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Applications of Graph Theory and Complex Networks. $3 759901
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Intelligent systems reference library ; $v v.24. $3 558591
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-52483-2
950 $a Engineering (Springer-11647)