Category:Cognitive Vision

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The inputs to a cognitive system, or the representations of information in early stages of it, are generally referred to as percepts. They will typically be visual or auditory, as these modalities generally carry most information about the environment. However, other sensing modalities may be used, in particular for boot-strapping or other support purposes. Perception and percepts are similarly ambiguous terms, where some may say that perception is in fact the function performed by a cognitive system. However, there is generally agreement that percepts are compact, partially invariant entities representing the sensing space in question. Visual percepts will for example be some processed, more invariant, more compact representation of the information in an image, than the original iconic image obtained from the sensor.

A fundamental property of cognitive vision systems is the extendability. This implies that a system shall be able to deal with more situations than exactly those which the designer has foreseen, and programmed it for. This requires that sys- tems both acquire and store information about the environment autonomously – on their own terms. The distributed organization foreseen for processing and for memory to allow learning, implies that later acquired information has to be stored in relation to earlier. The semantic character of the information implies a storage with respect to similarity, and the availability of a metric.

Building a complete vision system is a very difficult task. This difficulty results from:

– The huge amount of data to treat and the necessarily associated drastic information compression

– The necessity to combine goal driven and event driven inference mechanisms – The necessity to design systems in a fragmented or multi-level structure

It has become increasingly apparent that classical computing architectures designed for symbol strings, are not appropriate for the processing of spatial- cognitive information. One reason is that the inevitable requirement of learning does not go well with the traditional separation of memory from processing re- sources. In the task to develop efficient architectures for technical vision systems, it is tempting to look at architectures of biological systems for inspirations on design.

From Granlund, Gösta H. (2006). Organization of Architectures for Cognitive Vision Systems. In H. Christensen, H. Nagel (Eds.), Cognitive Vision Systems: Sampling the Spectrum of Approaches (pp. 37-55). Springer-Verlag Berlin Heidelberg [1]


ID: 1664, Dr. Gerardo Aragon-Camarasa

ID: 1826, Prof. Antonis Argyros

ID: 1169, Dr. Raul Arrabales

ID: 1034, Dr. Tamim Asfour

ID: 1103, Prof. Peter Auer

ID: 1773, Dr. Jorge Azorin-Lopez

ID: 1178, Prof. Christian Balkenius

ID: 1624, Dr. Laura Barca

ID: 1207, Prof. Christian Bauckhage

ID: 1492, Prof. Sven Behnke

ID: 1620, Dr. Anna Belardinelli

ID: 1487, Dr. Nicola Bellotto

ID: 1186, Prof. Isabelle Bloch

ID: 1329, Dr. Toby Breckon

ID: 1568, Dr. Francois Bremond

ID: 1202, Prof. Heinrich Bülthoff

ID: 1884, Dr. Martin Butz

ID: 1593, Dr. Guillaume Charpiat

ID: 1007, Dr. Ron Chrisley

ID: 1970, Dr. Lewis Chuang

ID: 2061, Prof. Jörg Conradt

ID: 1665, Dr. Boguslaw CYGANEK

ID: 1302, Mr. Joachim de Greeff

ID: 1566, Dr. Kris De Meyer

ID: 1031, Prof. Susan Denham

ID: 1168, Prof. Jean-Daniel Dessimoz

ID: 1561, Prof. Gordana Dodig Crnkovic

ID: 1475, Prof. Abdelkader El Kamel

ID: 1228, Prof. Wolfram Erlhagen

ID: 1942, Mr. Sean Ryan Fanello

ID: 1401, Prof. Patrizia Fattori

ID: 1618, Dr. Marcos Faundez-Zanuy

ID: 1214, Dr. Jose A. Fernandez Leon

ID: 1061, Prof. Antonio Fernández-Caballero

ID: 1175, Prof. Martin H. Fischer

ID: 1783, Dr. Simone Frintrop

ID: 1373, Dr. David Gamez

ID: 1675, Dr. Jeremi Gancet

ID: 1062, Prof. Antonios Gasteratos

ID: 1514, Prof. Giuseppina Gini Gini

ID: 1049, Dr. Jordi Gonzàlez

ID: 1799, Prof. Manuel Graña

ID: 1269, Prof. Mark W. Greenlee

ID: 1847, Prof. Marcin Grzegorzek

ID: 1454, Mr. Johannes Haack

ID: 1589, Prof. Verena Hafner

ID: 1231, Dr. Marc Hanheide

ID: 1687, Prof. William Harwin

ID: 1849, Mr. Jens Hedrich

ID: 1135, Prof. Joachim Hertzberg

ID: 1012, Prof. Václav Hlavác

ID: 1021, Prof. David Hogg

ID: 1779, Dr. Lothar Hotz

ID: 1431, Prof. Ludwig Huber

ID: 1992, Mr. Salvatore Iengo

ID: 1634, Dr. Ignazio Infantino

ID: 1241, Dr. Adrian Ion

ID: 2171, Dr. Aleksandar Jevtic

ID: 1110, Prof. Juergen Jost

ID: 1518, Dr. Sinan Kalkan

ID: 1452, Prof. Peter König

ID: 1460, Prof. Danica Kragic

ID: 1216, Prof. Walter Kropatsch

ID: 1549, Prof. Norbert Kruger

ID: 1114, Mr. Emilian Lalev

ID: 2035, Prof. Bruno Lara

ID: 1090, Prof. Bastian Leibe

ID: 1904, Mr. Jürgen Leitner

ID: 1040, Prof. Ales Leonardis

ID: 1347, Dr. Joo-Hwee Lim

ID: 1125, Prof. András Lörincz

ID: 1067, Dr. Andrej Lúcny

ID: 1416, Prof. Karl MacDorman

ID: 1092, Dr. Matei Mancas

ID: 1532, Dr. Jose Maria Martinez-Otzeta

ID: 1322, Dr. Alexander Maye

ID: 1104, Prof. Thomas McGinnity

ID: 1054, Dr. Anthony Morse

ID: 1968, Mr. David Muench

ID: 1374, Prof. Lazaros Nalpantidis

ID: 1183, Dr. Stavri Nikolov

ID: 1463, Prof. Andreas Nuechter

ID: 1388, Prof. J. Kevin O' Regan

ID: 1690, Mr. Shashank Pathak

ID: 1876, Prof. Dietrich Paulus

ID: 1949, Ms. Ana Brandusa Pavel

ID: 1433, Prof. Guillermo Peris-Fajarnés

ID: 1362, Dr. Georgi Petkov

ID: 1027, Prof. Axel Pinz

ID: 1578, Prof. Fiora Pirri

ID: 1547, Prof. Edwige Pissaloux

ID: 1448, Prof. Nirvana Popescu

ID: 1177, Dr. Jean-Charles Quinton

ID: 1627, Dr. Bogdan Raducanu

ID: 1130, Dr. Pawel Raif

ID: 1124, Dr. Subramanian Ramamoorthy

ID: 1197, Prof. Xavier Roca

ID: 1087, Dr. Etienne Roesch

ID: 1225, Prof. Raul Rojas

ID: 1946, Prof. Yves Rybarczyk

ID: 1617, Prof. Silvio P. Sabatini

ID: 1089, Prof. Erol Sahin

ID: 1559, Dr. Albert Ali Salah

ID: 1150, Ms. M Guadalupe Sánchez-Escribano

ID: 1215, Dr. Yulia Sandamirskaya

ID: 1223, Prof. Giulio Sandini

ID: 1797, Mr. Giovanni Saponaro

ID: 1280, Dr. Wolfram Schenck

ID: 1823, Dr. Haline Schendan

ID: 1010, Prof. Matthias Scheutz

ID: 1546, Prof. Juergen Schmidhuber

ID: 1003, Prof. Gregor Schöner

ID: 1662, Dr. J. Paul Siebert

ID: 2045, Mr. grigorios skaltsas

ID: 1179, Dr. Danijel Skocaj

ID: 1224, Prof. Aaron Sloman

ID: 1495, Dr. John Spencer

ID: 1128, Prof. Janusz Starzyk

ID: 1219, Dr. Veronica Sundstedt

ID: 1642, Prof. Niels Taatgen Taatgen

ID: 1723, Mr. Kasim Terzic

ID: 1266, Prof. Massimo Tistarelli

ID: 1521, Prof. Carme Torras

ID: 1782, Dr. Egon L. van den Broek

ID: 1123, Dr. Ivan Vankov

ID: 1011, Prof. David Vernon

ID: 1727, Dr. Manuel Vidal

ID: 1513, Dr. Georg von Wichert

ID: 1853, Dr. Yan Wu

ID: 1418, Dr. Sophie Wuerger

ID: 1190, Dr. Rolf P. Würtz

ID: 1271, Dr. Jeremy Wyatt


Granlund, Gösta H. (2006). Organization of Architectures for Cognitive Vision Systems. In H. Christensen, H. Nagel (Eds.), Cognitive Vision Systems: Sampling the Spectrum of Approaches (pp. 37-55). Springer-Verlag Berlin Heidelberg .pdf

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