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thông tin biểu ghi
ISBN 9781447163190
DDC 006.37
Tác giả CN Klette, Reinhard
Nhan đề Concise computer vision : an introduction into theory and algorithms / Reinhard Klette
Thông tin xuất bản London : Springer, 2014
Mô tả vật lý xviii, 429 p. : Illustrations ; 23 cm.
Tóm tắt 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.
Thuật ngữ chủ đề Computer science
Thuật ngữ chủ đề Computer algorithms
Thuật ngữ chủ đề Computer vision
Khoa Khoa Công nghệ Thông tin
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100 |aKlette, Reinhard
245 |aConcise computer vision : |ban introduction into theory and algorithms / |cReinhard Klette
260 |aLondon : |bSpringer, |c2014
300 |axviii, 429 p. : |bIllustrations ; |c23 cm.
504 |aindex: p. 415-429
520 |aMany 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.
541 |aMua
650 |aComputer science
650 |aComputer algorithms
650 |aComputer vision
690 |aKhoa Công nghệ Thông tin
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