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Feature Detectors and Descriptors Generations with Numerous Images and Video Applications: A Recap

Feature Detectors and Descriptors Generations with Numerous Images and Video Applications: A Recap

Nilanjan Dey, Amira S. Ashour, Aboul Ella Hassanien
Copyright: © 2017 |Pages: 30
ISBN13: 9781522510253|ISBN10: 1522510257|EISBN13: 9781522510260
DOI: 10.4018/978-1-5225-1025-3.ch003
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MLA

Dey, Nilanjan, et al. "Feature Detectors and Descriptors Generations with Numerous Images and Video Applications: A Recap." Feature Detectors and Motion Detection in Video Processing, edited by Nilanjan Dey, et al., IGI Global, 2017, pp. 36-65. https://doi.org/10.4018/978-1-5225-1025-3.ch003

APA

Dey, N., Ashour, A. S., & Hassanien, A. E. (2017). Feature Detectors and Descriptors Generations with Numerous Images and Video Applications: A Recap. In N. Dey, A. Ashour, & P. Patra (Eds.), Feature Detectors and Motion Detection in Video Processing (pp. 36-65). IGI Global. https://doi.org/10.4018/978-1-5225-1025-3.ch003

Chicago

Dey, Nilanjan, Amira S. Ashour, and Aboul Ella Hassanien. "Feature Detectors and Descriptors Generations with Numerous Images and Video Applications: A Recap." In Feature Detectors and Motion Detection in Video Processing, edited by Nilanjan Dey, Amira Ashour, and Prasenjit Kr. Patra, 36-65. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-1025-3.ch003

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Abstract

Feature detectors have a critical role in numerous applications such as camera calibrations, object recognition, biometrics, medical applications and image/video retrieval. One of its main tasks is to extract point correspondences “Interest points” between two similar scenes, objects, images or video shots. Extensive research has been done concerning the progress of visual feature detectors and descriptors to be robust against image deformations and achieve reduced computational speed in real-time applications. The current chapter introduced an overview of feature detectors such as Moravec, Hessian, Harris and FAST (Features from Accelerated Segment Test). It addressed the feature detectors' generation over time, the principle concept of each type, and their use in image/video applications. Furthermore, some recent feature detectors are addressed. A comparison based on these points is performed to illustrate their respective strengths and weaknesses to be a base for selecting an appropriate detector according to the application under concern.

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