Concise Computer Vision: An Introduction into Theory and Algorithms (Undergraduate Topics in Computer Science)

Concise Computer Vision: An Introduction into Theory and Algorithms (Undergraduate Topics in Computer Science)

Reinhard Klette


Many textbooks on machine imaginative and prescient could be unwieldy and intimidating of their insurance of this large self-discipline. This textbook addresses the necessity for a concise assessment of the basics of this field.

Concise computing device imaginative and prescient offers an obtainable common creation to the basic subject matters in desktop imaginative and prescient, highlighting the function of vital algorithms and mathematical options. Classroom-tested programming workouts and assessment questions also are provided on the finish of every chapter.

Topics and features:

* presents an advent to the elemental notation and mathematical options for describing a picture, and the foremost suggestions for mapping a picture into an image
* Explains the topologic and geometric fundamentals for analysing photo areas and distributions of snapshot values, and discusses settling on styles in an image
* Introduces optic stream for representing dense movement, and such themes in sparse movement research as keypoint detection and descriptor definition, and have monitoring utilizing the Kalman filter
* Describes distinct techniques for picture binarization and segmentation of nonetheless pictures or video frames
* Examines the 3 uncomplicated parts of a working laptop or computer imaginative and prescient approach, specifically digital camera geometry and photometry, coordinate platforms, and digicam calibration
* reports diversified options for vision-based 3D form reconstruction, together with using dependent lights, stereo imaginative and prescient, and shading-based form understanding
* incorporates a dialogue of stereo matchers, and the phase-congruency version for picture features
* offers an advent into class and studying, with a close description of uncomplicated AdaBoost and using random forests

This concise and simple to learn textbook/reference is perfect for an introductory direction at 3rd- or fourth-year point in an undergraduate machine technological know-how or engineering programme.

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