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» Improving Difference Operators by Local Feature Detection
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TIP
2008
142views more  TIP 2008»
13 years 5 months ago
Image Feature Localization by Multiple Hypothesis Testing of Gabor Features
Several novel and particularly successful object and object category detection and recognition methods based on image features, local descriptions of object appearance, have recent...
Jarmo Ilonen, Joni-Kristian Kamarainen, Pekka Paal...
ICASSP
2011
IEEE
12 years 9 months ago
Improving acoustic event detection using generalizable visual features and multi-modality modeling
Acoustic event detection (AED) aims to identify both timestamps and types of multiple events and has been found to be very challenging. The cues for these events often times exist...
Po-Sen Huang, Xiaodan Zhuang, Mark Hasegawa-Johnso...
ICVGIP
2008
13 years 7 months ago
Implementation of the "Local Rank Differences" Image Feature Using SIMD Instructions of CPU
Usage of statistical classifiers, namely AdaBoost and its modifications, in object detection and pattern recognition is a contemporary and popular trend. The computatiponal perfor...
Adam Herout, Pavel Zemcík, Roman Jurá...
ACIVS
2008
Springer
13 years 12 months ago
"Local Rank Differences" Image Feature Implemented on GPU
A currently popular trend in object detection and pattern recognition is usage of statistical classifiers, namely AdaBoost and its modifications. The speed performance of these cla...
Lukás Polok, Adam Herout, Pavel Zemcí...
ICPR
2006
IEEE
14 years 6 months ago
An Efficient Features - Based License Plate Localization Method
This paper presents a feature-based license plate localization algorithm that copes with multi-object problem in different image capturing conditions. The proposed algorithm is ro...
Hamid Mahini, Shohreh Kasaei, Faezeh Dorri, Fateme...