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COSFIRE
COSFIRE stands for Combination Of Shifted FIlter REsponses. COSFIRE is a trainable filter, which can be used for interest point (keypoint) detection…
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Related topics
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Computer vision
Interest point detection
Pattern recognition
Broader (1)
Feature detection (computer vision)
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Improvement of Gender Recognition using the Cosfire Filter Framework (Simulations Platform of Shape-Preserving Regression – PCHIP)
Virtyt Lesha
,
A. Haveri
,
Jozef Bushati
2019
Corpus ID: 214269673
. Biometrics is evolving every day more and more in technical sense and consequently faces with further challenges that become…
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2018
2018
Detection of Branching in Trabecular Bone Using Multiscale COSFIRE Filter for Osteoporosis Identification
Randy Cahya Wihandika
,
A. Arifin
,
A. Yuniarti
International Conference on Frontiers of…
2018
Corpus ID: 52816461
Mandibular bone is among the bones which mineral density is reduced due to osteoporosis. Hence, dental panoramic gradiographs…
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2018
2018
Identification of Possible Miyake Events using COSFIRE Filters
A. Neocleous
,
G. Azzopardi
,
M. Dee
2018
Corpus ID: 133654247
Several sudden rises in Δ¹⁴C have been identified by single-year measurements on known-age tree-rings. These include rises in the…
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2017
2017
Gender Recognition Based on Facial Features using COSfire Filter
D. A. Thomas
2017
Corpus ID: 11777701
101 Abstract— The main objective of this paper is to identify the gender of the human being based on their face detec ion by…
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2016
2016
Gender recognition from face images with trainable COSFIRE filters
G. Azzopardi
,
Antonio Greco
,
M. Vento
Advanced Video and Signal Based Surveillance
2016
Corpus ID: 9639857
Gender recognition from face images is an important application in the fields of security, retail advertising and marketing. We…
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2016
2016
Increased generalization capability of trainable COSFIRE filters with application to machine vision
G. Azzopardi
,
Laura Fernández-Robles
,
Enrique Alegre
,
N. Petkov
International Conference on Pattern Recognition
2016
Corpus ID: 23633503
The recently proposed trainable COSFIRE filters are highly effective in a wide range of computer vision applications, including…
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2016
2016
Melodic similarity using COSFIRE filters
2016
Corpus ID: 54495215
The identification of repeating patterns in time signals also known as motifs has been a challenge for many years in the area of…
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2013
2013
COSFIRE : a trainable features approach to pattern recognition
G. Azzopardi
,
N. Petkov
2013
Corpus ID: 68017577
We demonstrated the effectiveness of the proposed filters in three applications, Fig. 1: the detection of vascular bifurcations…
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2013
2013
COSFIRE (Combination of Shifted Filter Responses): A trainable filter approach to visual pattern recognition
G. Azzopardi
2013
Corpus ID: 190714482
Dit proefschrift draagt een innovatieve trainbare detectiebenadering voor visuele patroonherkenning aan, genaamd COSFIRE…
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2012
2012
Detection of Retinal Vascular Bifurcations by Rotation- and Scale-Invariant COSFIRE Filters
G. Azzopardi
,
N. Petkov
International Conference on Image Analysis and…
2012
Corpus ID: 17961615
The analysis of the vascular tree in retinal fundus images is important for identifying risks of various cardiovascular diseases…
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