Identification and Recognition of facial images
نویسندگان
چکیده
منابع مشابه
Emotion recognition using facial images
Abstract— Facial emotion is vital path for human contact and also used in numerous real applications. Facial expression identification has in recent times become a hopeful investigate area. Their applications include human-computer interface, human emotion examination robot control, driver state surveillance and medical fields. This paper aims to perform emotion classification scheme to identif...
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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...
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Contrast sensitivity for face identification was measured as a function of image size to find out whether foveal and peripheral performance would become equivalent by magnification. Size scaling was not sufficient for this task, but when the data was scaled both in size and contrast dimensions, there was no significant eccentricity-dependent variation in the data, i.e. for equivalent performanc...
متن کاملModel-Based De-Identification of Facial Images
Recent advances in both camera technology as well as supporting computing hardware have made it significantly easier to acquire, transmit, process and store large amounts of image data. As a consequence a number of image databases, specifically face databases, have been collected, often with the expressed goal of sharing the data with others. Due to concerns about the privacy of the individuals...
متن کاملEmotion Recognition from Arbitrary View Facial Images
Emotion recognition from facial images is a very active research topic in human computer interaction (HCI). However, most of the previous approaches only focus on the frontal or nearly frontal view facial images. In contrast to the frontal/nearly-frontal view images, emotion recognition from non-frontal view or even arbitrary view facial images is much more difficult yet of more practical utili...
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ژورنال
عنوان ژورنال: International Journal of Scientific Research in Computer Science, Engineering and Information Technology
سال: 2020
ISSN: 2456-3307
DOI: 10.32628/cseit20651