@InProceedings{LaraHira:2011:CoFeCl,
author = "Lara, Arnaldo C{\^a}mara and Hirata J{\'u}nior, Roberto",
affiliation = "{Instituto de Matem{\'a}tica e Estat{\'{\i}}stica -
Universidade de S{\~a}o Paulo} and {Instituto de Matem{\'a}tica
e Estat{\'{\i}}stica - Universidade de S{\~a}o Paulo}",
title = "Combining features to a class-specific model in an instance
detection framework",
booktitle = "Proceedings...",
year = "2011",
editor = "Lewiner, Thomas and Torres, Ricardo",
organization = "Conference on Graphics, Patterns and Images, 24. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "instance classification, combining features, object model.",
abstract = "Object detection is a Computer Vision task that determines if
there is an object of some category (class) in an image or video
sequence. When the classes are formed by only one specific object,
person or place, the task is known as instance detection. Object
recognition classifies an object as belonging to a class in a set
of known classes. In this work we deal with an instance
detection/recognition task. We collected pictures of famous
landmarks from the Internet to build the instance classes and test
our framework. Some examples of the classes are: monuments,
churches, ancient constructions or modern buildings. We tested
several approaches to the problem and a new global feature is
proposed to be combined to some widely known features like PHOW. A
combination of features and classifiers to model the given
instances in the training phase was the most successful one.",
conference-location = "Macei{\'o}, AL, Brazil",
conference-year = "28-31 Aug. 2011",
doi = "10.1109/SIBGRAPI.2011.9",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2011.9",
language = "en",
ibi = "8JMKD3MGPBW34M/3A3QGK5",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3A3QGK5",
targetfile = "86781.pdf",
urlaccessdate = "2024, Apr. 27"
}