The Resource Concise computer vision : an introduction into theory and algorithms, Reinhard Klette
Concise computer vision : an introduction into theory and algorithms, Reinhard Klette
Resource Information
The item Concise computer vision : an introduction into theory and algorithms, Reinhard Klette represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 2 library branches.
Resource Information
The item Concise computer vision : an introduction into theory and algorithms, Reinhard Klette represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 2 library branches.
- Summary
- Many textbooks on computer vision can be unwieldy and intimidating in their coverage of this extensive discipline. This textbook addresses the need for a concise overview of the fundamentals of this field. Concise Computer Vision provides an accessible general introduction to the essential topics in computer vision, highlighting the role of important algorithms and mathematical concepts. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Topics and features: Provides an introduction to the basic notation and mathematical concepts for describing an image, and the key concepts for mapping an image into an image Explains the topologic and geometric basics for analysing image regions and distributions of image values, and discusses identifying patterns in an image Introduces optic flow for representing dense motion, and such topics in sparse motion analysis as keypoint detection and descriptor definition, and feature tracking using the Kalman filter Describes special approaches for image binarization and segmentation of still images or video frames. Examines the three basic components of a computer vision system, namely camera geometry and photometry, coordinate systems, and camera calibration. Reviews different techniques for vision-based 3D shape reconstruction, including the use of structured lighting, stereo vision, and shading-based shape understanding Includes a discussion of stereo matchers, and the phase-congruency model for image features. Presents an introduction into classification and learning, with a detailed description of basic AdaBoost and the use of random forests. This concise and easy to read textbook/reference is ideal for an introductory course at third- or fourth-year level in an undergraduate computer science or engineering programme
- Language
- eng
- Extent
- 1 online resource (xviii, 429 pages)
- Note
- Includes indexes
- Contents
-
- Image Data
- Image Processing
- Image Analysis
- Dense Motion Analysis
- Image Segmentation
- Cameras, Coordinates and Calibration
- 3D Shape Reconstruction
- Stereo Matching
- Feature Detection and Tracking
- Object Detection
- Isbn
- 9781447163190
- Label
- Concise computer vision : an introduction into theory and algorithms
- Title
- Concise computer vision
- Title remainder
- an introduction into theory and algorithms
- Statement of responsibility
- Reinhard Klette
- Language
- eng
- Summary
- Many textbooks on computer vision can be unwieldy and intimidating in their coverage of this extensive discipline. This textbook addresses the need for a concise overview of the fundamentals of this field. Concise Computer Vision provides an accessible general introduction to the essential topics in computer vision, highlighting the role of important algorithms and mathematical concepts. Classroom-tested programming exercises and review questions are also supplied at the end of each chapter. Topics and features: Provides an introduction to the basic notation and mathematical concepts for describing an image, and the key concepts for mapping an image into an image Explains the topologic and geometric basics for analysing image regions and distributions of image values, and discusses identifying patterns in an image Introduces optic flow for representing dense motion, and such topics in sparse motion analysis as keypoint detection and descriptor definition, and feature tracking using the Kalman filter Describes special approaches for image binarization and segmentation of still images or video frames. Examines the three basic components of a computer vision system, namely camera geometry and photometry, coordinate systems, and camera calibration. Reviews different techniques for vision-based 3D shape reconstruction, including the use of structured lighting, stereo vision, and shading-based shape understanding Includes a discussion of stereo matchers, and the phase-congruency model for image features. Presents an introduction into classification and learning, with a detailed description of basic AdaBoost and the use of random forests. This concise and easy to read textbook/reference is ideal for an introductory course at third- or fourth-year level in an undergraduate computer science or engineering programme
- Cataloging source
- GW5XE
- http://library.link/vocab/creatorName
- Klette, Reinhard
- Dewey number
- 006.3/7
- Illustrations
- illustrations
- Index
- index present
- LC call number
- TA1634
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- Series statement
- Undergraduate Topics in Computer Science,
- http://library.link/vocab/subjectName
-
- Computer vision
- Computer vision
- Label
- Concise computer vision : an introduction into theory and algorithms, Reinhard Klette
- Note
- Includes indexes
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and indexes
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Image Data -- Image Processing -- Image Analysis -- Dense Motion Analysis -- Image Segmentation -- Cameras, Coordinates and Calibration -- 3D Shape Reconstruction -- Stereo Matching -- Feature Detection and Tracking -- Object Detection
- Control code
- 869222487
- Dimensions
- unknown
- Extent
- 1 online resource (xviii, 429 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781447163190
- Lccn
- 2013958392
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4471-6320-6
- Other physical details
- illustrations (some color).
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)869222487
- Label
- Concise computer vision : an introduction into theory and algorithms, Reinhard Klette
- Note
- Includes indexes
- Antecedent source
- unknown
- Bibliography note
- Includes bibliographical references and indexes
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Color
- multicolored
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
- Image Data -- Image Processing -- Image Analysis -- Dense Motion Analysis -- Image Segmentation -- Cameras, Coordinates and Calibration -- 3D Shape Reconstruction -- Stereo Matching -- Feature Detection and Tracking -- Object Detection
- Control code
- 869222487
- Dimensions
- unknown
- Extent
- 1 online resource (xviii, 429 pages)
- File format
- unknown
- Form of item
- online
- Isbn
- 9781447163190
- Lccn
- 2013958392
- Level of compression
- unknown
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
- 10.1007/978-1-4471-6320-6
- Other physical details
- illustrations (some color).
- Quality assurance targets
- not applicable
- Reformatting quality
- unknown
- Sound
- unknown sound
- Specific material designation
- remote
- System control number
- (OCoLC)869222487
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Concise-computer-vision--an-introduction-into/WAT_i7gYpXY/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Concise-computer-vision--an-introduction-into/WAT_i7gYpXY/">Concise computer vision : an introduction into theory and algorithms, Reinhard Klette</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
