نتایج جستجو برای: facial age estimation

تعداد نتایج: 1062300  

Journal: :Journal of Japan Society for Fuzzy Theory and Intelligent Informatics 2011

G.R. BAHADORKHAN, N. MOKHTARI AMIRMAJDI, S.M. MAZLOUMI,

 ABSTRACT Bachground: The main objective of this study was to define the clinical changes of facial deformity in patients older than 5 years with congenital torticollis treated by proximal and distal sternocleidomastoid tenotomy. Methods: We retrospectively evaluated fifteen patients who had had an open tenotomy of the sternal and clavicular and mastoid origins of the sternocleidomastoid muscle...

2014
Ivan Huerta Casado Carles Fernández Andrea Prati

Automatic extraction of soft biometric characteristics from face images is a very prolific field of research. Among these soft biometrics, age estimation can be very useful for several applications, such as advanced video surveillance [5, 12], demographic statistics collection, business intelligence and customer profiling, and search optimization in large databases. However, estimating age from...

Journal: :CoRR 2016
Hongwen Zhang Qi Li Zhenan Sun

Facial landmark detection is an important but challenging task for real-world computer vision applications. This paper proposes an accurate and robust approach for facial landmark detection by combining data-driven and modeldriven methods. Firstly, a fully convolutional network (FCN) is trained to generate response maps of all facial landmark points. Such a data-driven method can make full use ...

2013
Panagiotis B. Perakis

In this dissertation a novel method for 3D landmark detection and pose estimation, suitable for both frontal and side 3D facial scans, is presented. It exploits 3D and 2D information by using local shape descriptors to extract candidate interest points that are subsequently identified and labeled as anatomical landmarks. Additionally, a novel generalized framework for combining facial feature d...

2013
Gopu Darsan

Age estimation is a technology has applications in Human-Computer interaction. Age estimation has applications in various fields like internet security for minors, age specific shopping etc. Input image is taken through webcam and it is pre-processed to reduce the noise in the image. Then feature extraction is performed on this image using SIFT algorithm. The extracted features are compared wit...

2017
Carlos Eduardo Palhares Machado Marta Regina Pinheiro Flores Laíse Nascimento Correia Lima Rachel Lima Ribeiro Tinoco Ademir Franco Ana Cristina Barreto Bezerra Martin Paul Evison Marco Aurélio Guimarães

The study of facial growth is explored in many fields of science, including anatomy, genetics, and forensics. In the field of forensics, it acts as a valuable tool for combating child pornography. The present research proposes a new method, based on relative measurements and fixed references of the human face-specifically considering measurements of the diameter of the iris (iris ratio)-for the...

Journal: :Pattern Recognition 2011
Sung Eun Choi Youn Joo Lee Sung Joo Lee Kang Ryoung Park Jaihie Kim

The research related to age estimation using face images has become increasingly important, due to the fact it has a variety of potentially useful applications. An age estimation system is generally composed of aging feature extraction and feature classification; both of which are important in order to improve the performance. For the aging feature extraction, the hybrid features, which are a c...

2006
Chan-Su Lee Yang Wang Zhiguo Li Atul Kanaujia Ahmed Elgammal Dimitris Samaras Dimitris Metaxas Xiangfeng Gu Peisen Huang

Facial motions convey personal characteristics and subtle emotional states. This paper presents a new framework to model facial motions of different people with multiple expression types from high resolution facial expression tracking data. We also provide a mechanism to animate subtle facial expressions based on video sequences. A conceptual motion manifold is used for a unified representation...

2004
Demetri Terzopoulos Yuencheng Lee M. Alex O. Vasilescu

We review several model-based and image-based methods that we have developed for analyzing, synthesizing, and recognizing facial images. Our model-based methods include a sophisticated, functional model of the human face/head, which incorporates a biomechanical tissue model with embedded muscle actuators, and techniques for applying it to computer animation and expression estimation in video. O...

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