Object Recognition Under Difficult Conditions Based on Superpixel

LanguageEnglish
TypeProceedings of Japanese Conferences
AuthorsMartin Klinkigt, Koichi Kise
TitleObject Recognition Under Difficult Conditions Based on Superpixel
Journal平成22年 電気関係学会関西連合大会 講演論文集
Presentation number4P303-14
Pagespp.920-921
ReviewedNot reviewed
DateNovember 2010
Research fieldsObject Recognition
KeyKlinkigt2010_Conf (id=1184)

Abstract

In computer vision the task of object recognition is to recognize a certain object in an provided image. For this task a description about the object of interest is learned from images. This process often involves the use of local features like SIFT which can be extracted reliably from images, even if the resolution or the lighting conditions change. The drawback of such local features are that they may lose discriminative power to distinguish between similar objects or the object from the background.

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