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

By Marco Alexander Treiber

Rapid improvement of computing device has enabled utilization of automated item attractiveness in a growing number of purposes, starting from business photo processing to clinical purposes, in addition to projects caused by way of the common use of the net. every one sector of program has its particular specifications, and for that reason those can't all be tackled competently by means of a unmarried, general-purpose set of rules.

This easy-to-read text/reference presents a finished creation to the sector of item popularity (OR). The publication provides an outline of the varied functions for OR and highlights very important set of rules sessions, featuring consultant instance algorithms for every category. The presentation of every set of rules describes the fundamental set of rules circulation intimately, entire with graphical illustrations. Pseudocode implementations also are incorporated for plenty of of the equipment, and definitions are provided for phrases that may be unexpected to the amateur reader. aiding a transparent and intuitive educational sort, using arithmetic is saved to a minimum.

Topics and features:

  • Presents instance algorithms overlaying international techniques, transformation-search-based equipment, geometrical version pushed tools, 3D item reputation schemes, versatile contour becoming algorithms, and descriptor-based methods
  • Explores every one strategy 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 real techniques at size in a simple-to-understand sort, with a minimal utilization of mathematics
  • Discusses a extensive spectrum of functions, together with a few examples from advertisement products
  • Contains appendices discussing subject matters with regards to OR and time-honored within the algorithms, (but now not on the center of the equipment defined within the chapters)

Practitioners of commercial picture processing will locate this straightforward creation and evaluate to OR a worthwhile reference, as will graduate scholars in desktop imaginative and prescient courses.

Marco Treiber is a software program developer at ASM meeting platforms, Munich, Germany, the place he's Technical Lead in photograph Processing for the imaginative and prescient process 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

Foundations of Quantization for Probability Distributions

As a result of the speedily expanding desire for tactics of information compression, quantization has turn into a flourishing box in sign and photograph processing and knowledge conception. an identical options also are utilized in statistics (cluster analysis), trend popularity, and operations learn (optimal position of provider centers).

Proceedings of Ninth International Conference on Wireless Communication and Sensor Networks: WCSN 2013

Instant communique and sensor networks may shape the spine to create pervasive and ubiquitous environments that might have profound impact at the society and hence are very important to the society. The instant verbal exchange applied sciences and instant sensor networks might surround quite a lot of domain names corresponding to HW units equivalent to motes, sensors and linked instrumentation, actuators, transmitters, receivers, antennas, and so on.

Pattern Recognition: 6th Chinese Conference, CCPR 2014, Changsha, China, November 17-19, 2014. Proceedings, Part I

The two-volume set CCIS 483 and CCIS 484 constitutes the refereed lawsuits of the sixth chinese language convention on trend acceptance, CCPR 2014, held in Changsha, China, in November 2014. The 112 revised complete papers provided in volumes have been conscientiously reviewed and chosen from 225 submissions. The papers are prepared in topical sections on basics of development reputation; function extraction and type; desktop imaginative and prescient; photo processing and research; video processing and research; biometric and motion attractiveness; biomedical photograph research; record and speech research; trend attractiveness purposes.

Low-Power CMOS Digital Pixel Imagers for High-Speed Uncooled PbSe IR Applications

This booklet describes the advance of a brand new reasonably cheap medium wavelength IR (MWIR) monolithic imager expertise for high-speed uncooled commercial functions. It takes the baton at the most recent technological advances within the box of vapor section deposition (VPD) PbSe-based MWIR detection finished by means of the commercial associate NIT S.

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

Sample text

Fig. 3). This stems from the observation that in many cases characteristic information about the object is located in the outer shape or silhouette of the 3D object resulting in rapid changes of the gray values in the image plane. The Canny filter responds to these changes by detecting the gray value edges in the images. The main advantage Corr. Fig. 3 Basic proceeding of cross correlation with preprocessing 16 2 Global Methods is that discriminative power is enhanced as now relatively thin edge areas must overlap in order to achieve high values of ρ.

To this end, the input data is transformed to another and hopefully more compact representation. In this context an image I (x, y) with W × H pixels can be regarded as an N = W · H–dimensional vector x. N of the vector x represents the gray value of one pixel. A suitable transformation is based on the principal component analysis (PCA), which aims at representing the variations of the object appearance with as few dimensions as possible. It has been suggested by 32 2 Global Methods Turk and Pentland [14] for face recognition, Murase and Nayar [10] presented an algorithm for recognition of more general 3D objects in a single 2D image, which were taken from a wide rage of viewpoints.

2 Training Phase 1.

Download PDF sample

Rated 4.45 of 5 – based on 35 votes