{"product_id":"concise-computer-vision-an-introduction-into-theory-and-algorithms-paperback","title":"Concise Computer Vision: An Introduction Into Theory and Algorithms - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eReinhard Klette\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMany 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.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eConcise Computer Vision\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003eTopics 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.\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003ch3\u003eBack Jacket\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMany 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.\u003c\/p\u003e\u003cp\u003e\u003ci\u003eConcise Computer Vision\u003c\/i\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003e\u003c\/b\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eProvides an introduction to the basic notation and mathematical concepts for describing an image, and the key concepts for mapping an image into an image\u003c\/li\u003e\n\u003cli\u003eExplains the topologic and geometric basics for analysing image regions and distributions of image values, and discusses identifying patterns in an image\u003c\/li\u003e\n\u003cli\u003eIntroduces 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\u003c\/li\u003e\n\u003cli\u003eDescribes special approaches for image binarization and segmentation of still images or video frames\u003c\/li\u003e\n\u003cli\u003eExamines the three basic components of a computer vision system, namely camera geometry and photometry, coordinate systems, and camera calibration\u003c\/li\u003e\n\u003cli\u003eReviews different techniques for vision-based 3D shape reconstruction, including the use of structured lighting, stereo vision, and shading-based shape understanding\u003c\/li\u003e\n\u003cli\u003eIncludes a discussion of stereo matchers, and the phase-congruency model for image features\u003c\/li\u003e\n\u003cli\u003ePresents an introduction into classification and learning, with a detailed description of basic AdaBoost and the use of random forests\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003cb\u003eDr. Reinhard Klette\u003c\/b\u003e, FRSNZ, is a Professor at the Tamaki Innovation Campus of The University of Auckland, New Zealand. His numerous other publications include the Springer title \u003ci\u003eEuclidean Shortest Paths: Exact or Approximate Algorithms\u003c\/i\u003e.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 429\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.1 x 9.1 x 6.1 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e January 20, 2014\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212592103673,"sku":"9781447163190","price":97.18,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/M2l1aUJBWVNJNmQ0dmhWbXVYN3RMQT09.webp?v=1768094604","url":"https:\/\/bookscloud.io\/products\/concise-computer-vision-an-introduction-into-theory-and-algorithms-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}