<?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>2026-04-18T04:30:25Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10256/2311" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10256/2311</identifier><datestamp>2024-05-22T09:45:57Z</datestamp><setSpec>com_2072_452955</setSpec><setSpec>com_2072_2054</setSpec><setSpec>col_2072_452957</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>Using appearance and context for outdoor scene object classification</dc:title>
   <dc:creator>Bosch Rué, Anna</dc:creator>
   <dc:creator>Muñoz Pujol, Xavier</dc:creator>
   <dc:creator>Martí Bonmatí, Joan</dc:creator>
   <dc:subject>Discriminació visual</dc:subject>
   <dc:subject>Imatges -- Processament</dc:subject>
   <dc:subject>Imatges -- Segmentació</dc:subject>
   <dc:subject>Reconeixement òptic de formes</dc:subject>
   <dc:subject>Visió per ordinador</dc:subject>
   <dc:subject>Computer vision</dc:subject>
   <dc:subject>Image processing</dc:subject>
   <dc:subject>Imaging segmentation</dc:subject>
   <dc:subject>Optical pattern recognition</dc:subject>
   <dc:subject>Visual discrimination</dc:subject>
   <dc:description>We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal</dc:description>
   <dc:date>2005</dc:date>
   <dc:type>info:eu-repo/semantics/article</dc:type>
   <dc:identifier>Bosch Rué, A., Muñoz Pujol, X. i Martí Bonmatí, J. (2001). Positioning an underwater vehicle through image mosaicking. IEEE International Conference on Robotics and Automation : 2001 : Proceedings 2001 ICRA, 3, 2779 - 2784. Recuperat 18 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&amp;arnumber=933043</dc:identifier>
   <dc:identifier>http://hdl.handle.net/10256/2311</dc:identifier>
   <dc:identifier>http://hdl.handle.net/10256/2311</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1109/ROBOT.2001.933043</dc:relation>
   <dc:relation>info:eu-repo/semantics/altIdentifier/issn/1050-4729</dc:relation>
   <dc:relation>info:eu-repo/semantics/altIdentifier/isbn/0-7803-6576-3</dc:relation>
   <dc:rights>Tots els drets reservats</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>IEEE</dc:publisher>
   <dc:source>© IEEE International Conference on Robotics and Automation : 2001 : Proceedings 2001 ICRA, 2005, vol. 2</dc:source>
   <dc:source>Articles publicats (D-ATC)</dc:source>
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