Facial Recognition Technology
نویسندگان
چکیده
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منابع مشابه
Facial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کاملFacial Expression Recognition Based on Anatomical Structure of Human Face
Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...
متن کاملFacial Recognition Technology A Survey of Policy and Implementation Issues
ACKNOWLEDGMENTS Although responsibility for the final product is ours, we could not have produced this report without key contributions from several individuals to whom we are deeply indebted. Jonathon Phillips and Alex Vasilescu generously shared their wisdom and expertise. Extended conversations with them, particularly in the early phases of the project, guided us to important sources and hel...
متن کاملFacial Recognition Technology: An analysis with scope in India
A facial recognition system is a computer application for automatically identifying or verifying a person from a digital image or a video frame from a video source. One of the way is to do this is by comparing selected facial features from the image and a facial database.It is typically used in security systems and can be compared to other biometrics such as fingerprint or eye iris recognition ...
متن کاملFacial expression recognition based on Local Binary Patterns
Classical LBP such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. In this paper, we introduce an improved LBP algorithm to solve these problems that utilizes Fast PCA algorithm for reduction of vector dimensions of extracted features. In other words, proffer method (Fast PCA+LBP) is an improved LBP algorithm that is extracted ...
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ژورنال
عنوان ژورنال: Student journal of professional practice and academic research
سال: 2021
ISSN: ['2632-0452']
DOI: https://doi.org/10.19164/sjppar.v3i1.1104