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.

Show description

Read or Download An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications PDF

Similar computer vision & pattern recognition books

Get Geometric computations with Clifford algebras PDF

This monograph-like anthology introduces the techniques and framework of Clifford algebra. It offers a wealthy resource of examples of ways to paintings with this formalism. Clifford or geometric algebra exhibits robust unifying points and became out within the Nineteen Sixties to be a such a lot sufficient formalism for describing diversified geometry-related algebraic structures as specializations of 1 "mother algebra" in quite a few subfields of physics and engineering.

Abhijit S. Pandya's Pattern Recognition with Neural Networks in C++ PDF

The addition of man-made community computing to standard trend reputation has given upward thrust to a brand new, assorted, and extra robust method that's awarded during this functional advisor to the appliance of synthetic neural networks. the fabric lined within the e-book is offered to operating engineers with very little specific history in neural networks.

Download e-book for kindle: Wavelets mit Anwendungen in Signal- und Bildverarbeitung by Jöran Bergh, Fredrik Ekstedt, Martin Lindberg, M. Stern

Gelungene Kombination aus Monografie und Handbuch: Sie spricht Leser an, die sich mit den grundlegenden mathematischen Ideen und Techniken der Wavelets vertraut machen und zugleich wissen m? chten, wie die Theorie derzeit angewendet wird. Das Buch setzt Kenntnisse ? ber Anwendungen der linearen Algebra, der Fourierreihen und Fourierschen Integrale voraus, weitere Kenntnisse sind ebenso w?

New PDF release: Discrete Geometry for Computer Imagery: 15th IAPR

This publication constitutes the refereed complaints of the fifteenth IAPR foreign convention on Discrete Geometry for computing device Imagery, DGCI 2009, held in Montr? al, Canada, in September/October 2009. The forty two revised complete papers have been conscientiously reviewed and chosen from various submissions. The papers are prepared in topical sections on discrete form, illustration, attractiveness and research; discrete and combinatorial instruments for photo segmentation and research; discrete and combinatorial Topology; versions for discrete geometry; geometric transforms; and discrete tomography.

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.

Download PDF sample

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

by George

Rated 4.50 of 5 – based on 11 votes