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Feature detection (computer vision)

Known as: Feature detection 
In computer vision and image processing the concept of feature detection refers to methods that aim at computing abstractions of image information… 
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Related topics

Related topics

50 relations
Augmented realityBag-of-words model in computer visionBenjamin WahBlob detection

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2013
Highly Cited
2013
A real-time embedded architecture for SIFT
Highly Cited
2012
Highly Cited
2012
Realtime On-Road Vehicle Detection with Optical Flows and Haar-Like Feature Detectors
An autonomous vehicle is a demanding application for our daily life. Such vehicle requires to detect other vehicles on the road… 
Highly Cited
2010
Highly Cited
2010
Comparative Analysis of Primary Transmitter Detection Based Spectrum Sensing Techniques in Cognitive Radio Systems
2 Abstract A key component in cognitive radios systems is the spectrum sensing. Cognitive radios are increasingly being… 
Highly Cited
2005
Highly Cited
2005
An experiment for sensing-based opportunistic spectrum access in CSMA/CA networks
Opportunistic access to spectrum and secondary allocation of spectrum are topics being studied by regulatory bodies and… 
2004
2004
Video Retrieval Using Search and Browsing
. We describe our experiments for the shot boundary detection, high-level feature extraction, search and story boundary detection… 
2000
2000
Finding location using omnidirectional video on a wearable computing platform
In this paper we present a framework for a navigation system in an indoor environment using only omnidirectional video. Within a… 
Highly Cited
1999
Highly Cited
1999
MODEL BASED FACE RECONSTRUCTION FOR ANIMATION
In this paper, we present a new semiautomatic method to reconstruct 3D facial model for animation from two orthogonal pictures… 
Highly Cited
1996
Highly Cited
1996
Statistical mosaics for tracking
1989
1989
On the use of neural networks and fuzzy logic in speech recognition
A rule-based phoneme recognition method is proposed. This method uses neural networks for acoustic feature detection and fuzzy… 
Highly Cited
1985
Highly Cited
1985
Course correction circuitry translates feature detection into behavioural action in locusts
Like other flying animals, locusts must maintain course stability despite turbulence and motor errors. Accordingly, they must… 
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