An Introduction to Object Recognition: Selected Algorithms by Marco Alexander Treiber PDF

By Marco Alexander Treiber

ISBN-10: 1849962340

ISBN-13: 9781849962346

Rapid improvement of laptop has enabled utilization of automated item reputation in progressively more functions, starting from business snapshot processing to scientific purposes, in addition to initiatives prompted by means of the common use of the web. each one quarter of program has its particular requisites, and therefore those can't all be tackled thoroughly by way of a unmarried, general-purpose set of rules.

This easy-to-read text/reference offers a entire creation to the sector of item acceptance (OR). The publication offers an summary of the varied purposes for OR and highlights very important set of rules periods, providing consultant instance algorithms for every category. The presentation of every set of rules describes the elemental set of rules stream intimately, entire with graphical illustrations. Pseudocode implementations also are integrated for lots of of the equipment, and definitions are provided for phrases that could be unexpected to the beginner reader. helping a transparent and intuitive educational variety, using arithmetic is saved to a minimum.

Topics and features:

  • Presents instance algorithms overlaying worldwide techniques, transformation-search-based equipment, geometrical version pushed tools, 3D item popularity schemes, versatile contour becoming algorithms, and descriptor-based methods
  • Explores each one process in its entirety, instead of targeting person steps in isolation, with a close description of the circulate of every set of rules, together with graphical illustrations
  • Explains the $64000 suggestions at size in a simple-to-understand type, with a minimal utilization of mathematics
  • Discusses a huge spectrum of functions, together with a few examples from advertisement products
  • Contains appendices discussing issues regarding OR and time-honored within the algorithms, (but no longer on the middle of the equipment defined within the chapters)

Practitioners of commercial photograph processing will locate this straightforward creation and evaluation to OR a worthy reference, as will graduate scholars in machine imaginative and prescient courses.

Marco Treiber is a software program developer at ASM meeting structures, Munich, Germany, the place he's Technical Lead in photograph Processing for the imaginative and prescient approach of SiPlace placement machines, utilized in SMT assembly.

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Extra resources for An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications

Example text

Hough [7] or Duda and Hart [4]), but can be generalized to the detection of arbitrarily shaped objects if the object shape is known in advance. Now let’s have a look at the basic idea of the Hough transform: given a set of points P, every pixel p = x, y ∈ p could possibly be part of a line. In order to detect all lines contained in P, each p “votes” for all lines which pass through that pixel. 4) each of those lines can be characterized by two parameters r and α. A 2D accumulator space covering all possible [r, α], which is divided into cells, accounts for the votes.

The bottom level 0 of the pyramid consists of the original image whereas the higher levels are built by subsampling or averaging the intensity values of adjacent pixels of the level below. Therefore at each level the image size is reduced (see Fig. 4). Correlation initially takes place in a high level of the pyramid generating some hypotheses about coarse object locations. Due to the reduced size this is much faster than at level 0. These hypotheses are verified in lower levels. Based on the verification they can be rejected or refined.

1 Main Idea The principal component analysis (PCA) aims at transforming the gray value object appearance into a more advantageous representation. According to Murase and Nayar [10], the appearance of an object in an image depends on the object shape, its reflectance properties, the object pose, and the illumination conditions. While the former two are rather fixed for rigid objects, the latter two can vary considerably. , focus on the object contour. Another strategy is to explicitly incorporate all sorts of expected appearance variations in the model.

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An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications by Marco Alexander Treiber


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