Concise computer vision : an introduction into theory and algorithms / Reinhard Klette.
Material type:
TextSeries: Undergraduate topics in computer sciencePublisher: London : Springer, 2014Description: xviii, 429 pContent type: - text
- unmediated
- volume
- 9781447163190
- TA1634 .K56 2014
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General Collection
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Kabarak, Main Campus | TA1634 .K56 2014 c.1 (Browse shelf(Opens below)) | Available | 34041 |
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| TA1634 .A38 2017 C.2 Advances in visual informatics: 5th international visual informatics conference, IVIC 2017 Bangi, Malaysia, November 28-30, 2017 proceedings / | TA1634 .D38 2018 Computer vision : principles, algorithms, applications, learning / | TA1634 .E44 2020 c.1 Deep learning for vision systems / | TA1634 .K56 2014 c.1 Concise computer vision : an introduction into theory and algorithms / | TA1634 .M67 Computer vision and image procession. | TA1634 .P73 2012 C.1 Practical computer vision with simpleCV / | TA1634 .P75 2012 c.1 Computer vision : models, learning, and inference / |
Includes indexes.
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.
"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. 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." -- Provided by publisher.
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