Feature Detectors and Descriptors Generations With Numerous Images and Video Applications

2018 ◽  
pp. 571-600 ◽  
Author(s):  
Nilanjan Dey ◽  
Amira S. Ashour ◽  
Aboul Ella Hassanien
Keyword(s):  
Object Recognition ◽  
Video Retrieval ◽  
Critical Role ◽  
Medical Applications ◽  
Visual Feature ◽  
Interest Points ◽  
Feature Detectors ◽  
Computational Speed ◽  
Real Time Applications ◽  
Over Time

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.

Feature Detectors and Descriptors Generations with Numerous Images and Video Applications

2017 ◽  
pp. 36-65 ◽  
Author(s):  
Nilanjan Dey ◽  
Amira S. Ashour ◽  
Aboul Ella Hassanien
Keyword(s):  
Object Recognition ◽  
Video Retrieval ◽  
Critical Role ◽  
Medical Applications ◽  
Visual Feature ◽  
Interest Points ◽  
Feature Detectors ◽  
Computational Speed ◽  
Real Time Applications ◽  
Over Time

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.

Measurement and Prediction of Sound Exposure Levels by University Wind Bands

2010 ◽  
Vol 25 (1) ◽  
pp. 29-34 ◽  
Author(s):  
Kris Chesky
Keyword(s):  
Linear Regression Analysis ◽  
Critical Role ◽  
Significant Proportion ◽  
Sound Exposure ◽  
Sound Levels ◽  
Wind Bands ◽  
Exposure Levels ◽  
The Mean ◽  
Over Time

The purpose of this study was to determine sound exposure levels generated in two college wind bands. Dosimeter data from a large sample of ensemble-based instructional activities (n = 43) was collected over time and processed to assess associations with predictor variables that may be relevant to this context, including indicators of time spend at various intensity levels, maximum and peak sound levels, degree of variability of sound levels over time, and the percentage of time playing music. The mean dose per event for the entire sample was 109.5% and ranged from 53.8% to 166.9%. Results of linear regression analysis revealed that regressors accounted for a significant proportion of the variance in dose (F = 128.42, p < 0.000) and a statistically significant and very large (96% variance accounted for) contribution to the prediction of dose. Findings implicate the critical role of the instructor and teaching pedagogy.

Applications of Supercomputers in Population Genetics

2015 ◽  
pp. 176-200
Author(s):  
Gerard G. Dumancas
Keyword(s):  
Population Genetics ◽  
Natural Selection ◽  
Genetic Drift ◽  
Critical Role ◽  
Allele Frequency Distribution ◽  
Modern Approach ◽  
Mathematical Discipline ◽  
Modern Evolutionary Synthesis ◽  
Changes Over Time ◽  
Over Time

Population genetics is the study of the frequency and interaction of alleles and genes in population and how this allele frequency distribution changes over time as a result of evolutionary processes such as natural selection, genetic drift, and mutation. This field has become essential in the foundation of modern evolutionary synthesis. Traditionally regarded as a highly mathematical discipline, its modern approach comprises more than the theoretical, lab, and fieldwork. Supercomputers play a critical role in the success of this field and are discussed in this chapter.

Anesthesia Information Management Systems (AIMS)

2011 ◽  
pp. 465-481
Author(s):  
Loren Riskin ◽  
Christoph Egger-Halbeis ◽  
Daniel Riskin
Keyword(s):  
Operating Room ◽  
Information Management ◽  
Fundamental System ◽  
Critical Role ◽  
Management Systems ◽  
Healthcare Information ◽  
Operative Care ◽  
Information Management Systems ◽  
Over Time

This chapter discusses the critical role of anesthesia information management systems (AIMS) in clinical tracking and operating room information management. It begins by reviewing the history and implementation of such systems and examines their current abilities and utilities. The current known benefits of AIMS, as documented by peer-reviewed literature, are examined. Possible additional benefits, both future and current, and the potential role of AIMS in future healthcare information management are discussed. Though AIMS vary greatly between individual systems and will continue to evolve over time, this chapter aims to highlight fundamental system features. The goal of this chapter is to broaden understanding of AIMS and their clinical utility, as they have an essential part of modern operative care.

Single image haze removal using integrated dark and bright channel prior

2018 ◽  
Vol 32 (04) ◽  
pp. 1850051 ◽  
Author(s):  
Dilbag Singh ◽  
Vijay Kumar
Keyword(s):  
Computational Time ◽  
Single Image ◽  
Edge Preservation ◽  
Haze Removal ◽  
Computational Speed ◽  
Dark Channel ◽  
Real Time Applications ◽  
Removal Model ◽  
Bright Channel Prior ◽  
Restoration Model

In recent years, the dark channel prior (DCP) has been proven to be an adequate haze removal model. However, its procedure causes annoying halo and gradient reversal artifacts. To remove these issues, numerous filtering techniques have been designed and integrated with DCP. But, these filters inevitably induce massive computational load and edge degradation problems. In this paper, a novel visibility restoration model is proposed to solve the above-mentioned problems. It utilizes DCP, bright channel prior (BCP) and gain intervention filter. BCP is used to solve the sky-region problem associated with DCP based dehazing. The gain intervention filter is used to improve computational speed and edge preservation. The experimental results reveal that the proposed dehazing model provides better computational time as compared to the existing dehazing techniques. It also provides superior restored images over existing dehazing techniques. More significantly, the designed dehazing model possesses highest potential for real time applications due to its superior restoration results and computational speed.

scholarly journals Venoms of Iranian Scorpions (Arachnida, Scorpiones) and Their Potential for Drug Discovery

Molecules ◽  
2019 ◽  
Vol 24 (14) ◽  
pp. 2670 ◽  
Author(s):  
Seyed Mahdi Kazemi ◽  
Jean-Marc Sabatier
Keyword(s):  
Drug Discovery ◽  
Critical Role ◽  
Medical Applications ◽  
Scorpion Envenomation ◽  
Evolutionary Success ◽  
Characteristic Group ◽  
The Subject ◽  
The Many ◽  
Hemiscorpius Lepturus ◽  
Or Genes

Scorpions, a characteristic group of arthropods, are among the earliest diverging arachnids, dating back almost 440 million years. One of the many interesting aspects of scorpions is that they have venom arsenals for capturing prey and defending against predators, which may play a critical role in their evolutionary success. Unfortunately, however, scorpion envenomation represents a serious health problem in several countries, including Iran. Iran is acknowledged as an area with a high richness of scorpion species and families. The diversity of the scorpion fauna in Iran is the subject of this review, in which we report a total of 78 species and subspecies in 19 genera and four families. We also list some of the toxins or genes studied from five species, including Androctonus crassicauda, Hottentotta zagrosensis, Mesobuthus phillipsi, Odontobuthus doriae, and Hemiscorpius lepturus, in the Buthidae and Hemiscorpiidae families. Lastly, we review the diverse functions of typical toxins from the Iranian scorpion species, including their medical applications.

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