@misc{cogprints4061,
volume = {117},
editor = {Luc Berthouze and Hideki Kozima and Christopher G. Prince and Giulio Sandini and Georgi Stojanov and Giorgio Metta and Christian Balkenius},
title = {An Ontogenetic Model of Perceptual Organization for a developmental Robot},
author = {Remi Driancourt},
publisher = {Lund University Cognitive Studies},
year = {2004},
pages = {51--58},
keywords = {robotic intermediary vision, ontogenetic model, local feature detector, visual segmentation, visual clustering},
url = {http://cogprints.org/4061/},
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.}
}