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Exploiting Part-Based Models and Edge Boundaries for Object Detection
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
KTH, Skolan för datavetenskap och kommunikation (CSC), Datorseende och robotik, CVAP.
2008 (engelsk)Inngår i: Digital Image Computing: Techniques and Applications, DICTA 2008, 2008, s. 199-206Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The sparseness allows the relative spatial relationship between parts to be described simply. It is possible, with this model, to highlight potential locations of the object and its parts in novel images. Subsequently these areas are examined by a more flexible shape model that measures if the image data provides evidence of the existence of boundary/connecting curves between connected hypothesized parts. From these measurements it is possible to construct a very simple cost function which indicates the presence or absence of the object class. The part-based model is designed to decouple variations due to affine warps and other forms of shape deformations. The latter are modeled probabilistically using conditional probability distributions which describe the linear dependencies between the location of a part and a subset of the other parts. These conditional distributions can then be exploited to search efficiently for the instances of the part model in novel images. Results are reported on experiments performed on the ETHZ shape classes database that features heavily cluttered images and large variations in scale.

sted, utgiver, år, opplag, sider
2008. s. 199-206
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-62474DOI: 10.1109/DICTA.2008.88Scopus ID: 2-s2.0-67549123312ISBN: 978-076953456-5 (tryckt)OAI: oai:DiVA.org:kth-62474DiVA, id: diva2:480411
Konferanse
Digital Image Computing: Techniques and Applications, DICTA 2008. Canberra, ACT. 1 December 2008 - 3 December 2008
Merknad
QC 20120120Tilgjengelig fra: 2012-01-19 Laget: 2012-01-19 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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