Age prediction based on a small number of facial landmarks and texture features
نویسندگان
چکیده
منابع مشابه
Ethnicity Prediction Based on Iris Texture Features
This paper examines the possibility of predicting ethnicity based on iris texture. This is possible if there are similarities of the iris texture of a certain ethnicity, and these similarities differ from ethnicity to ethnicity. This sort of “soft biometric” prediction could be used, for example, to narrow the search of an enrollment database for a match to probe sample. Using an iris image dat...
متن کاملClassification of Age Groups Based on Facial Features
An age group classification system for gray-scale facial images is proposed in this paper. Four age groups, including babies, young adults, middle-aged adults, and old adults, are used in the classification system. The process of the system is divided into three phases: location, feature extraction, and age classification. Based on the symmetry of human faces and the variation of gray levels, t...
متن کاملOptimized Facial Features-based Age Classification
The evaluation and measurement of human body dimensions are achieved by physical anthropometry. This research was conducted in view of the importance of anthropometric indices of the face in forensic medicine, surgery, and medical imaging. The main goal of this research is to optimization of facial feature point by establishing a mathematical relationship among facial features and used optimize...
متن کاملthe effects of speech rate,prosodic features, and blurred speech on iranian efl learners listening comprehension
کلید واژه ها به زبان انگلیسی: effect of speech rate on listening comprehension, blurred speech,segmental and suprasegmental features,authentic speech,intelligibility, discrimination, omission, assimilation چکیده: سرعت مطالب شنیداری در کلام پیوسته بطور کلی همواره کابوسی بوده برای یادگیرنده های زبان دوم و بالاخص برای شنوندگان ایرانی. علی رغم عقل سلیم که کلام با سرعت کندتری فعالیتهای درک مطلب شن...
15 صفحه اولFacial Expression Recognition using Hybrid Texture Features based Ensemble Classifier
Communication is fundamental to humans. In the literature, it has been shown through many scientific research studies that human communication ranges from 54 to 94 percent is non-verbal. Facial expressions are the most of the important part of the non-verbal communication and it is the most promising way for people to communicate their feelings and emotions to represent their intentions. Pervas...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Technology and Health Care
سال: 2021
ISSN: 0928-7329,1878-7401
DOI: 10.3233/thc-218047