Titlebook: Real-Time Object Measurement and Classification; Anil K. Jain Conference proceedings 1988 Springer-Verlag Berlin Heidelberg 1988 Hardware.

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Matti Pietikäinen,Olli Silvénoach to the subject, .Epidemiology of Drug Abuse. provides researchers and educators with a reference that sheds significant light on infrequently covered areas. In addition, its breadth and accessibility of co978-1-4899-9564-3978-0-387-24416-7

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Björn Krusell include a series of instructions on how to read epidemiological literature in this field making it an essential resource both for those currently working in the field of reproductive epidemiology or those in978-3-319-34898-8978-3-319-01472-2

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0258-1248 on" held in Hotel Villa del Mare, Maratea, Italy, August 31 - September 3, 1987. This workshop was organized under the NATO Special Programme on Sensory Systems for Robotic Control. Professor Eric Backer, Delft University of Technology, The Netherlands and Professor Erdal Panayirci, Technical Univer

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Symbolic Surface Descriptors,f our study to determine which different types of surface descriptors (such as cylindrical, spherical, elliptical, hyperbolic, etc.) can be reliably recovered from biquadratic equation models of various surfaces.

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A Flexible and Intelligent System for Fast Measurements in Binary Images For in-Line Robotic Controontrol. A user-friendly interface enables the user to communicate with the system in order to set the specific task to undertake, to learn applicable objects, to define transmission of measurement results (location, orientation, classification) to the robotic controller, and to set processing time l

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Object Recognition and Real-Time Relative State Estimation Under Egomotion,y, and forward perspective projection in order to arrive at a vision process exploiting the last image of the sequence only and yet yielding a complete relative state vector estimation including the spatial velocity components. This cybernetic vision concept instantiates in the processing system a s

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Hardware-Software Trade-Offs in Robot Vision,in some cases, make difficult the use of general purpose processors (computers). That’s probably one of the main reasons why image processing hardware and robotic vision have received particular attention during the last decade. In this paper we would like to review some of the hardware-software app

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Hardware Versus Software Implementations of Fast Image Processing Algorithms,or dedicated image processing hardware is treated and their trade-off is discussed. Examples of different image processing systems used and built in our group are given and evaluated. The conclusions are that for each specific class of image processing operations, effort has to be put in the choice

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