Open AccessDETECÇÃO E RECONHECIMENTO DE OBJETOS EM IMAGENS UTILIZANDO ALGORITMOS DE EXTRAÇÃO DE PONTOS CHAVE
Author(s) -
Leonardo Almeida Rodrigues,
Francisco Assis da Silva,
Danillo Roberto Pereira,
Almir Olivette Artero,
Marco Antônio Piteri
Publication year - 2014
Publication title -
colloquium exactarum
Language(s) - English
Resource type - Journals
ISSN - 2178-8332
DOI - 10.5747/ce.2014.v06.n2.e078
Subject(s) - scale invariant feature transform , artificial intelligence , pattern recognition (psychology) , computer science , mathematics , computer vision , feature extraction
This paper presentsa comparative studyof descriptors keypoint algorithms doinga combinationof detectors anddescriptors. We combined the SIFT, SURF and Harris detector algorithms with the SIFT and SURF descriptor algorithms.Three experimentswith images withdifferent characteristicswere performed,intwo of theseexperimentswere usedimages of realobjects, in athird experiment, some degradationin an imagesuch asscale reduction, rotation, blurring, darkening andaddition ofnoisehave beenperformed, to analyze the behaviorof the algorithms. Experiments were also performed withalldegradationstogether.Toanalyze theproposedcombination, we extractedprocessing timeand the number ofinliers. This workcontributes toapplicationsthat requireusing keypoint descriptors algorithms in detection andrecognitionof objects inimages.