By Marco Alexander Treiber
Rapid improvement of computing device has enabled utilization of computerized item acceptance in increasingly more purposes, starting from commercial photo processing to scientific functions, in addition to initiatives brought on via the common use of the net. each one region of software has its particular standards, and as a result those can't all be tackled properly by means of a unmarried, general-purpose set of rules.
This easy-to-read text/reference presents a accomplished advent to the sphere of item reputation (OR). The publication provides an outline of the varied purposes for OR and highlights very important set of rules sessions, providing consultant instance algorithms for every category. The presentation of every set of rules describes the elemental set of rules move intimately, entire with graphical illustrations. Pseudocode implementations also are integrated for lots of of the tools, and definitions are provided for phrases that may be strange to the amateur reader. helping a transparent and intuitive instructional variety, the use of arithmetic is saved to a minimum.
Topics and features:
- Presents instance algorithms masking international methods, transformation-search-based tools, geometrical version pushed tools, 3D item reputation schemes, versatile contour becoming algorithms, and descriptor-based methods
- Explores each one approach in its entirety, instead of concentrating on person steps in isolation, with a close description of the stream of every set of rules, together with graphical illustrations
- Explains the $64000 recommendations at size in a simple-to-understand kind, with a minimal utilization of mathematics
- Discusses a large spectrum of purposes, together with a few examples from advertisement products
- Contains appendices discussing themes concerning OR and general within the algorithms, (but no longer on the center of the equipment defined within the chapters)
Practitioners of commercial photograph processing will locate this easy advent and evaluation to OR a priceless reference, as will graduate scholars in computing device 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 procedure 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
As far as occlusion is concerned, usually it has the undesirable property of influencing every global quantity and hence all elements of the global feature vector. Furthermore, the information of only a few global features often not suffices to distinctively characterize “complex” objects exhibiting detailed surface structure. ” Additionally, feature vectors can be used for a quick pre-classification followed by a more sophisticated scheme. 1 Main Idea Simple objects can often be characterized and classified with the help of region or gray value moments.
Instead of using gradient magnitudes, the similarity measure is based on gradient orientation information: an image region is considered similar to a template if the gradient orientations of many pixels match well. 5) where the operator · defines the dot product of two vectors. dS and dT are the gradient vectors of a pixel of the scene image and the template, respectively (consisting of the gradients in x- and y-direction). The dot product yields high values if dS and dT point in similar directions.
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An Introduction to Object Recognition: Selected Algorithms for a Wide Variety of Applications by Marco Alexander Treiber