Obiettivo The aim of INSIGHT II is to improve our understanding of vision at the computational level, that is, to identify the representations to be used and the algorithms to compute them for general-purpose vision systems operating in a fluctuating natural environment.The site of convergence of luminance, motion and texture cues specifying shape in the primate brain has been established. New insights into the receptive field structure of higher order visual neurons and on the integration of visual and eye movement signals in the primate brain has been achieved. On the psychophysical side, a new technique has been developed for the measurement of subjects' perception of surfaces. A wealth of new data on the estimation by humans of surface position, orientation and curvature specified by disparity, motion, luminance, texture and other cues has been obtained. On the computational side, a new theory has been developed on the recovery of surfaces from the structure of the disparity field. In computer vision, mathematical theory, implementation and experimentation have been combined to estimate optic flow and its use for recovering object 3-dimensional structure and 3-dimensional motion.APPROACH AND METHODS Using the results of a previous action (INSIGHT, 3001) as a guide, a number of key areas have been identified, mainly in middle-level vision, where rapid progress can be expected. These areas include the measurement of optic flow, cue integration, the task-dependent use of optic flow, and surface and object representation. These five topics are approached from a multidisciplinary point of view combining psychophysics and neurophysiology in studying biological visual system in primates, and computer science in studying computer vision. While psychophysics studies human or primate performance and conjectures about underlying mechanisms, physiology measures these mechanisms directly. The strategies employed by the most successful computer (the primate brain) will thus be confronted with those used in computer vision to solve similar problems. POTENTIAL The vision knowledge gained from these fundamental studies will give firm ground to more applied projects in which vision is used to guide robots or recognise patterns. Campo scientifico natural sciencesbiological scienceszoologymammalogyprimatologynatural sciencescomputer and information sciencesartificial intelligencecomputer visionmedical and health sciencesbasic medicinephysiology Programma(i) FP3-ESPRIT 3 - Specific research and technological development programme (EEC) in the field of information technologies, 1990-1994 Argomento(i) Data not available Invito a presentare proposte Data not available Meccanismo di finanziamento Data not available Coordinatore KATHOLIEKE UNIVERSITEIT LEUVEN Contributo UE Nessun dato Indirizzo TERVUURSEVEST, 101 3000 LEUVEN Belgio Mostra sulla mappa Costo totale Nessun dato Partecipanti (13) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto COMPUTER TECHNOLOGY INSTITUTE Grecia Contributo UE Nessun dato Indirizzo KOLOKOTRONI STREET, 326110 26221 PATRAS Mostra sulla mappa Costo totale Nessun dato Institut National de Recherches en Informatique et en Automatique (INRIA) Francia Contributo UE Nessun dato Indirizzo Domaine de Voluceau Rocquencourt 78153 Le Chesnay Mostra sulla mappa Costo totale Nessun dato RUHR-UNIVERSITY BOCHUM Germania Contributo UE Nessun dato Indirizzo Universitätsstraße 150 44780 BOCHUM Mostra sulla mappa Costo totale Nessun dato Royal Institute of Technology Svezia Contributo UE Nessun dato Indirizzo SE 100 44 Stockholm Mostra sulla mappa Collegamenti Sito web Opens in new window Costo totale Nessun dato UNIV CATHOLIQUE DE LOUVAIN, ESAT Belgio Contributo UE Nessun dato Indirizzo LEUVEN Mostra sulla mappa Costo totale Nessun dato UNIVERSITAET ZURICH Svizzera Contributo UE Nessun dato Indirizzo FRAUENKLINIKSTRASSE, 26 8091 ZURICH Mostra sulla mappa Costo totale Nessun dato UNIVERSITE DE NICE - SOPHIA ANTIPOLIS Francia Contributo UE Nessun dato Indirizzo PARC VALROSE 06034 NICE Mostra sulla mappa Costo totale Nessun dato UNIVERSITEIT VAN UTRECHT Paesi Bassi Contributo UE Nessun dato Indirizzo PRINCETONPLEINWEG 5, 80000 3508 TA UTRECHT Mostra sulla mappa Costo totale Nessun dato UNIVERSITY OF GENOVA Italia Contributo UE Nessun dato Indirizzo Via Dodecaneso 35 16146 GENOVA Mostra sulla mappa Costo totale Nessun dato UNIVERSITÄT KARLSRUHE Germania Contributo UE Nessun dato Indirizzo AM ZIRKEL 2 KARLSRUHE Mostra sulla mappa Costo totale Nessun dato University of Oxford Regno Unito Contributo UE Nessun dato Indirizzo 11 Keble Road OX1 3QD Oxford Mostra sulla mappa Costo totale Nessun dato University of Sheffield Regno Unito Contributo UE Nessun dato Indirizzo Western Bank S10 2TN Sheffield Mostra sulla mappa Costo totale Nessun dato University of Stirling Regno Unito Contributo UE Nessun dato Indirizzo FK9 4LA Stirling Mostra sulla mappa Costo totale Nessun dato