Reference TypeConference Proceedings
Citation KeyLaraHira:2011:CoFeCl
Author1 Lara, Arnaldo Câmara
2 Hirata Júnior, Roberto
Affiliation1 Instituto de Matemática e Estatística - Universidade de São Paulo
2 Instituto de Matemática e Estatística - Universidade de São Paulo
TitleCombining features to a class-specific model in an instance detection framework
Conference NameConference on Graphics, Patterns and Images, 24 (SIBGRAPI)
EditorLewiner, Thomas
Torres, Ricardo
Book TitleProceedings
DateAug. 28 - 31, 2011
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationMaceió
Keywordsinstance classification, combining features, object model.
AbstractObject 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.
Tertiary TypeFull Paper
FormatDVD, On-line.
Size3114 KiB
Number of Files1
Target File86781.pdf
Last Update2011:
Metadata Last Update2020: administrator {D 2011}
Document Stagecompleted
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History2011-07-23 15:36:13 :: -> administrator :: 2011
2020-02-19 02:19:28 :: administrator -> :: 2011
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