@InProceedings{NomaJr:2010:SpReEf,
author = "Noma, Alexandre and Jr, Roberto Marcondes Cesar",
affiliation = "{Instituto de Matem{\'a}tica e Estat{\'{\i}}stica - USP} and
{Instituto de Matem{\'a}tica e Estat{\'{\i}}stica - USP}",
title = "Sparse Representations for Efficient Shape Matching",
booktitle = "Proceedings...",
year = "2010",
editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "point pattern matching, graph matching, quadratic assignment,
Markov random fields, efficient belief propagation, sparse shape
representations, shape metric, 3D object recognition, handwritten
digits.",
abstract = "Graph matching is a fundamental problem with many applications in
computer vision. Patterns are represented by graphs and pattern
recognition corresponds to finding a correspondence between
vertices from different graphs. In many cases, the problem can be
formulated as a quadratic assignment problem, where the cost
function consists of two components: a linear term representing
the vertex compatibility and a quadratic term encoding the edge
compatibility. The quadratic assignment problem is NP-hard and the
present paper extends the approximation technique based on graph
matching and efficient belief propagation described in previous
work by using sparse representations for efficient shape matching.
Successful results of recognition of 3D objects and handwritten
digits are illustrated, using COIL and MNIST datasets,
respectively. .",
conference-location = "Gramado, RS, Brazil",
conference-year = "30 Aug.-3 Sep. 2010",
doi = "10.1109/SIBGRAPI.2010.33",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.33",
language = "en",
ibi = "8JMKD3MGPBW34M/387M46P",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/387M46P",
targetfile = "paper2.pdf",
urlaccessdate = "2024, May 03"
}