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Features from accelerated segment test

Known as: Fast 
Features from accelerated segment test (FAST) is a corner detection method, which could be used to extract feature points and later used to track and… 
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Related topics

Related topics

15 relations
Binary search algorithmComputer visionCorner detectionDecision tree

Broader (1)

Feature detection (computer vision)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Live Demonstration: A Real-Time Event-Based Fast Corner Detection Demo Based on FPGA
Corner detection is widely used as a pre-processing step for many computer vision (CV) problems. It is well studied in the… 
2017
2017
Makeup Invariant Face Recognition using Features from Accelerated Segment Test and Eigen Vectors
A methodology for makeup invariant robust face recognition based on features from accelerated segment test and Eigen vectors is… 
2014
2014
Feature Detector Using Adaptive Accelerated Segment Test
Features from Accelerated Segment Test (FAST) based on the circular mask segment test is recognized as a superior feature… 
Review
2013
Review
2013
A comparative study of image low level feature extraction algorithms
2012
2012
Real Time Semi-dense Point Tracking
This paper presents a new algorithm to track a high number of points in a video sequence in real-time. We propose a fast keypoint… 
Highly Cited
2011
Highly Cited
2011
Features from Accelerated Segment Test ( FAST )
FAST is an algorithm proposed originally by Rosten and Drummond [1] for identifying interest points in an image. An interest… 
2011
2011
A novel Features from Accelerated Segment Test algorithm based on LBP on image matching
Since the FAST (Features from Accelerated Segment Test) detector is much faster than any of the commonly used detection… 
2011
2011
Real-Time Video Stabilization for Unmanned Aerial Vehicles
This paper presents a new real-time video stabilization method for Unmanned Aerial Vehicles (UAV). It mainly consists of three… 
2009
2009
An algebraic model for fast corner detection
This paper revisits the classical problem of detecting interest points, popularly known as “corners,” in 2D images by proposing a… 
2007
2007
Real-time keypoints matching: application to visual servoing
Many computer vision problems such as recognition, image retrieval, and tracking require matching two images. Currently, ones try… 
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