By Reinhard Klette

ISBN-10: 1447163192

ISBN-13: 9781447163190

ISBN-10: 1447163206

ISBN-13: 9781447163206

This textbook presents an obtainable common creation to the fundamental themes in laptop imaginative and prescient. Classroom-tested programming routines and overview questions also are provided on the finish of every bankruptcy. gains: offers an advent to the fundamental notation and mathematical thoughts for describing a picture and the main ideas for mapping a picture into a picture; explains the topologic and geometric fundamentals for analysing snapshot areas and distributions of photograph values and discusses picking out styles in a picture; introduces optic circulation for representing dense movement and numerous themes in sparse movement research; describes specific methods for photograph binarization and segmentation of nonetheless pictures or video frames; examines the elemental elements of a working laptop or computer imaginative and prescient method; stories assorted ideas for vision-based 3D form reconstruction; incorporates a dialogue of stereo matchers and the phase-congruency version for photograph gains; offers an creation into type and learning.

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Additional info for Concise Computer Vision: An Introduction into Theory and Algorithms

Example text

Then, for example, the hue value of (Gmax , ε1 , ε2 ) can either be about black or white, just for minor changes in ε1 and ε2 . Why? Fig. 32 illustrates this effect at the bottom, left. 32, top, left, shows one of the colour checkers used for testing colour accuracy of a camera, to be used for computer vision applications. There are three rows of very precisely (uniform) coloured squares numbered 1 to 18 and one row of squares showing grey levels. When taking an image of the card, the lighting at this moment will contribute to the recorded image.

32) 26 1 Image Data Fig. 23 Addition of four complex numbers represented by polar coordinates (rh , αh ) in the complex plane Ignoring the DC component that has the phase zero (and is of no importance for locating an edge), the resulting Fourier transform J is composed of n = (2k +1)2 −1 complex numbers zh , each defined by the amplitude rh = zh 2 and the phase αh , for 1 ≤ h ≤ n. 23 illustrates an addition of four complex numbers represented by the amplitudes and phases, resulting in a complex number z.

Nrows − 1. 22) demonstrates that the Fourier transform is actually a weighted sum of sine and cosine functions, but in the complex plane. If α is outside the interval [0, 2π), then it is taken modulo 2π in this formula. 71828 . . = exp(1). 3 Physicists electricity. 3 (Descartes, Euler, and the Complex Numbers) R. g. Cartesian coordinates), still called negative solutions of quadric equations a · x 2 + b · x + c = 0 “false” and other solutions (that is, complex numbers) “imaginary”. L. 71828 .

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Concise Computer Vision: An Introduction into Theory and Algorithms by Reinhard Klette


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