Invariance Signatures: Characterizing contours by their departures from invariance

Bibtex entry :

@techreport { VG:SqC1997,
    author = { David McG. Squire and Terry M. Caelli },
    title = { Invariance Signatures: Characterizing contours by their departures from invariance },
    institution = { Computer Vision Group, Computing Centre, University of Geneva },
    year = { 1997 },
    number = { 97.04 },
    address = { rue G\'en\'eral Dufour, 24, CH-1211 Gen\`eve, Switzerland },
    month = { April },
    url = { http://vision.unige.ch/publications/postscript/97/VGTR97.04_SquireCaelli.ps.gz },
    url1 = { http://vision.unige.ch/publications/postscript/97/VGTR97.04_SquireCaelli.pdf },
    vgclass = { report },
    vgproject = { unspecified },
}
--

Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion