<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-14T07:16:45Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2072/408556" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2072/408556</identifier><datestamp>2026-04-08T03:11:23Z</datestamp><setSpec>com_2072_98</setSpec><setSpec>col_2072_378192</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <dc:title>Toward a perceptual object recognition system</dc:title>
   <dc:creator>Awad, Dounia</dc:creator>
   <dc:subject>Computer vision</dc:subject>
   <dc:description>Advisor/s: Vincent Courboulay and Arnaud Revel. Date and location of PhD thesis defense: 5 September 2014, University of La Rochelle</dc:description>
   <dc:description>The main objective of this thesis is to propose a pipeline for an object recognition algorithm based on human perception which addresses the object recognition system complexity: query run time and memory allocation. In this context, we propose a filter based on a visual attention system to address the problems of extracting a large number of points of interest using existing region selection techniques. We chose to use bottom-up visual attention systems that encode attentional fixations in a topographic map, known as a saliency map. This map serves as basis for generating a mask to select salient points according to human interest, from the points extracted by a region selection technique. Furthermore, we addressed the problem of high dimensionality of descriptors in region appearance phase. We proposed a new hybrid descriptor representing the spatial frequency of some perceptual features, extracted by a visual attention system (color, texture, intensity. This descriptor consist of a concatenation of energy measures computed at the output of a filter bank, at each level of the multi-resolution pyramid of perceptual features. This descriptor has the advantage of being lower dimensional than traditional descriptors.</dc:description>
   <dc:date>2015</dc:date>
   <dc:type>Altres</dc:type>
   <dc:identifier>https://ddd.uab.cat/record/144986</dc:identifier>
   <dc:identifier>urn:oai:ddd.uab.cat:144986</dc:identifier>
   <dc:identifier>urn:10.5565/rev/elcvia.714</dc:identifier>
   <dc:identifier>urn:oai:elcvia.revistes.uab.cat:article/714</dc:identifier>
   <dc:identifier>urn:articleid:15775097v14n3p11</dc:identifier>
   <dc:identifier>urn:oai:raco.cat:article/305468</dc:identifier>
   <dc:identifier>urn:scopus_id:84958172813</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>ELCVIA ; Vol. 14, Num. 3 (2015), p. 11-12</dc:relation>
   <dc:rights>open access</dc:rights>
   <dc:rights>Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, i la comunicació pública de l'obra, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. No es permet la creació d'obres derivades.</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by-nc-nd/3.0/</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher/>
</oai_dc:dc></metadata></record></GetRecord></OAI-PMH>