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

By Reinhard Klette

Many textbooks on machine imaginative and prescient may be unwieldy and intimidating of their assurance of this broad self-discipline. This textbook addresses the necessity for a concise evaluation of the basics of this field.

Concise machine imaginative and prescient presents an obtainable basic advent to the basic themes in computing device imaginative and prescient, highlighting the position of vital algorithms and mathematical options. Classroom-tested programming workouts and evaluation questions also are provided on the finish of every chapter.

Topics and features:

* offers an creation to the elemental notation and mathematical strategies for describing a picture, and the most important innovations for mapping a picture into an image
* Explains the topologic and geometric fundamentals for analysing photograph areas and distributions of picture values, and discusses deciding on styles in an image
* Introduces optic move for representing dense movement, and such issues in sparse movement research as keypoint detection and descriptor definition, and have monitoring utilizing the Kalman filter
* Describes certain techniques for picture binarization and segmentation of nonetheless photos or video frames
* Examines the 3 uncomplicated elements of a working laptop or computer imaginative and prescient process, specifically digital camera geometry and photometry, coordinate structures, and digicam calibration
* experiences various concepts for vision-based 3D form reconstruction, together with using based lighting fixtures, stereo imaginative and prescient, and shading-based form understanding
* features a dialogue of stereo matchers, and the phase-congruency version for photograph features
* offers an creation 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 path at 3rd- or fourth-year point in an undergraduate computing device technological know-how or engineering programme.

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

Example text

We can have the plus sign in the DFT and the minus sign in the inverse DFT. We have the scaling factor 1/Ncols · Nrows in the 2D DFT and the scaling factor 1 in the inverse transform. Important is that the product of both scaling factors in the DFT and in the inverse DFT equals 1/Ncols · Nrows√. We could have split 1/Ncols · Nrows into two scaling factors, say, for example, 1/ Ncols · Nrows in both transforms. 23) shows that we represent the image I now as a weighted sum of basis functions exp(iα) = cos α + i sin α being 2D combinations of cosine and sine functions in the complex plane.

The minus sign has been replaced by a plus sign). Variants of Transform Equations Definitions of DFT and inverse DFT may vary. We can have the plus sign in the DFT and the minus sign in the inverse DFT. We have the scaling factor 1/Ncols · Nrows in the 2D DFT and the scaling factor 1 in the inverse transform. Important is that the product of both scaling factors in the DFT and in the inverse DFT equals 1/Ncols · Nrows√. We could have split 1/Ncols · Nrows into two scaling factors, say, for example, 1/ Ncols · Nrows in both transforms.

C. Morrone, J. R. Ross, D. C. Burr, and R. A. Owens. Mach bands are phase dependent. Nature, vol. 324, pp. 250–253, November 1986] following a study on relations between features in an image and Fourier coefficients. See Fig. 24 for an example when applying the Kovesi algorithm (reported later in Sect. 3), which implements the phase-congruency model. 3 Colour and Colour Images 27 Fig. 24 Left: Original image AnnieYukiTim. 3 Colour and Colour Images Perceived colour is not objectively defined. Colour perception varies for people, and it depends on lighting.

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