Search Results - subject:"Face Recognition"

AI Ethics and Governance : Black Mirror and Order

Liu, Zhiyi; Zheng, Yejie - 2022

Preface -- Chapter 1. New problems in the Era of AI -- Chapter 2. Ethical Enlightenment in the Age of Intelligence -- Chapter 3. Digintelligence Risk Society is Around the Corner -- Chapter 4. AI Medical Treatment: Epidemic, Death and Love -- Chapter 5. “Secret” Left by Turing--Privacy...

Persistent link: https://www.econbiz.de/10013202311

Application study on image recognition algorithm in visual service of deaf mute under complex environment

Yang, Xiaoyi; Wu, Qian; Deng, Xinmei - In: International journal of services technology and management 25 (2019) 5/6, pp. 530-541

Persistent link: https://www.econbiz.de/10012149111

Some Fuzzy Tools for Evaluation of Computer Vision Algorithms

Osipov, Andrey - In: International Journal of Computer Vision and Image … 8 (2018) 1, pp. 1-14

measures, including some newly introduced ones, to the evaluation of face recognition algorithms. …

Persistent link: https://www.econbiz.de/10012043843

A Survey on Local Textural Patterns for Facial Feature Extraction

Maheswari V, Uma; Prasad, Golla Vara; Raju, S Viswanadha - In: International Journal of Computer Vision and Image … 8 (2018) 2, pp. 1-26

Over the last two decades retrieving an accurate image has become a challenging task. Regardless, texture patterns address this problem by decreasing the significant gap between the actual image over the user expectation rather than other low-level features. This article represents the...

Persistent link: https://www.econbiz.de/10012043849

Symmetric Uncertainty Based Search Space Reduction for Fast Face Recognition

Hemalatha, C. Sweetlin; Sankaran, Vignesh; Vaidehi V; … - In: International Journal of Intelligent Information … 14 (2018) 4, pp. 77-97

Face recognition from a large video database involves more search time. This article proposes a symmetric uncertainty … based search space reduction (SUSSR) methodology that facilitates faster face recognition in video, making it viable for …

Persistent link: https://www.econbiz.de/10012045531

An Improved LBP Blockwise Method for Face Recognition

Kumar, Nikhil; Behal, Sunny - In: International Journal of Natural Computing Research (IJNCR) 7 (2018) 4, pp. 45-55

Face recognition is considered as one of toughest and most crucial leading domains of digital image processing. The … human brain also uses a similar kind of technique for face recognition. When scrutinizing a face, the human brain signifies … used the options of native binary pattern and uniform native binary pattern for face recognition. They compute a number of …

Persistent link: https://www.econbiz.de/10012046738

Two-Dimensional Face Surface Analysis Using Facial Feature Points Detection Approaches

Ahdid, Rachid; Azougaghe, Es-said; Safi, Said; Manaut, … - In: Journal of Electronic Commerce in Organizations (JECO) 16 (2018) 1, pp. 57-71

, namely facial feature points. The aims are various, such as face recognition, facial expression recognition, face detection …. In this article, the authors present two feature extraction methods for two-dimensional face recognition. Their …

Persistent link: https://www.econbiz.de/10012049009

Effective and Fast Face Recognition System Using Complementary OC-LBP and HOG Feature Descriptors With SVM Classifier

Chhabra, Indu; Singh, Geetika - In: Journal of Information Technology Research (JITR) 11 (2018) 1, pp. 91-110

. Local Binary Patterns (LBP) and Histogram of Oriented Gradients (HOG) have been proven effective for face recognition. LBPs …

Persistent link: https://www.econbiz.de/10012049151

An introduction to face-recognition methods and its implementation in software applications

Kwon, Byoung-Moo; Lee, Kang-Hee - In: International journal of information technology and … 17 (2018) 1/2, pp. 33-43

Persistent link: https://www.econbiz.de/10011896742

Two-dimensional face surface analysis using facial feature points detection approaches

Ahdid, Rachid; Azougaghe, Es-said; Safi, Said; Manaut, … - In: Journal of electronic commerce in organizations : the … 16 (2018) 1, pp. 57-71

Persistent link: https://www.econbiz.de/10011809544