creators_name: Driancourt, Remi editors_name: Berthouze, Luc editors_name: Kozima, Hideki editors_name: Prince, Christopher G. editors_name: Sandini, Giulio editors_name: Stojanov, Georgi editors_name: Metta, Giorgio editors_name: Balkenius, Christian type: confpaper datestamp: 2005-04-14 lastmod: 2011-03-11 08:55:50 metadata_visibility: show title: An Ontogenetic Model of Perceptual Organization for a developmental Robot ispublished: pub subjects: comp-sci-mach-vis subjects: comp-sci-mach-learn subjects: comp-sci-robot full_text_status: public keywords: robotic intermediary vision, ontogenetic model, local feature detector, visual segmentation, visual clustering abstract: This paper presents an ontogenetic model of self-organization for robotic intermediary vision. Two mechanisms are under concern. First, the development of low-level local feature detectors that perform a piecewise categorization of the sensory signal. Second, the hierarchical grouping of these local features in a holistic perception. While the grouping mechanism is expressed as a classical agglomerative clustering, underlying similarity measures are not pre-given but developed from the signal statistics. date: 2004 date_type: published volume: 117 publisher: Lund University Cognitive Studies pagerange: 51-58 refereed: TRUE citation: Driancourt, Remi (2004) An Ontogenetic Model of Perceptual Organization for a developmental Robot. [Conference Paper] document_url: http://cogprints.org/4061/1/driancourt.pdf