Object Recognition Under Difficult Conditions Based on Superpixel
Language
English
Type
Proceedings of Japanese Conferences
Authors
Martin Klinkigt, Koichi Kise
Title
Object 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 number
4P303-14
Pages
pp.920-921
Reviewed
Not reviewed
Date
November 2010
Research fields
Object Recognition
Key
Klinkigt2010_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.
Files
…
Export this publication
Tab-separated. Paste into the sheet starting at column A. Required fields that cannot be inferred are left blank.
Format definition
Edits apply immediately and stay in effect until you pick a style again or reset. First line is the default; add lines like "book: …" to override per type.
How to write the definition
Insert a field with braces like {authors}. A part enclosed in [ ... ] is omitted entirely when any field inside it is empty. Available fields:
One macro per line as \name{field}{field}…. A field name in braces is replaced by its (LaTeX-escaped) value; other text is kept. Rename macros or add lines freely — they appear in the macro selector. A line like master_thesis: thesis fixes the macro for a type (automatic choice: journals use paperdoi with a DOI, paperno with a number, else paper; conferences conf with pages, else confpaper; books book). {pages} comes as 119--124; {journal} falls back to the book title. Fields: