نتایج جستجو برای: face region

تعداد نتایج: 692328  

2016
Anastasios Doulamis Athanasios Voulodimos

Automatic recognition of human actions from video signals is probably one of the most salient research topics of computer vision with a tremendous impact for many applications. In this chapter, the authors introduce a new descriptor, the Human Constrained Pixel Change History (HC-PCH), which is based on PCH but focuses on the human body movements over time. They propose a modification of the co...

2004
Tsuyoshi Sawada Tetsuo Hasegawa Toshihiro Handa R. J. Cohen

We present a method to derive positions of molecular clouds along the lines of sight from a quantitative comparison between 2.6mm CO emission lines and 18 cm OH absorption lines, and apply it to the central kiloparsecs of the Milky Way. With some simple but justifiable assumptions, we derive a face-on distribution of the CO brightness and corresponding radial velocity in the Galactic centre wit...

Journal: :Science 2006
Doris Y Tsao Winrich A Freiwald Roger B H Tootell Margaret S Livingstone

Face perception is a skill crucial to primates. In both humans and macaque monkeys, functional magnetic resonance imaging (fMRI) reveals a system of cortical regions that show increased blood flow when the subject views images of faces, compared with images of objects. However, the stimulus selectivity of single neurons within these fMRI-identified regions has not been studied. We used fMRI to ...

Journal: :IEICE Transactions 2008
Aryuanto Soetedjo Koichi Yamada

This paper describes a new color segmentation based on a normalized RGB chromaticity diagram for face detection. Face skin is extracted from color images using a coarse skin region with fixed boundaries followed by a fine skin region with variable boundaries. Two newly developed histograms that have prominent peaks of skin color and nonskin colors are employed to adjust the boundaries of the sk...

2015
Zhe Wang Paul C. Quinn James W. Tanaka Xiaoyang Yu Yu-Hao P. Sun Jiangang Liu Olivier Pascalis Liezhong Ge Kang Lee

We examined whether Asian individuals would show differential sensitivity to configural vs. featural changes to own- and other-race faces and whether such sensitivity would depend on whether the changes occurred in the upper vs. lower regions of the faces. We systematically varied the size of key facial features (eyes and mouth) of own-race Asian faces and other-race Caucasian faces, and the co...

2015

Background: For the perception of facial attractiveness, the orbital region in the face acts as a key determinant factor. The Orbitofacial measurements vary with sex and race. Orbital region in the face is one of the most important regions in plastic, reconstructive and ophthalmic surgery and anthropometric evaluation. There are no reports available on the Orbitofacial anthropometry in Indian A...

2012
Sunil Kumar Sakshi Gupta

This paper presents a novel face detection algorithm. Face Detection is the process of locating faces in the image. Our aim is to locate all faces in the image irrespective of various challenges usually faced by researchers. Image including faces is the further key to intelligent vision-based human computer interaction & research attempts in face processing including face recognition, face moti...

Journal: :Image Vision Comput. 2003
Jonathan Dowdall Ioannis T. Pavlidis George Bebis

Face detection is an important prerequisite step for successful face recognition. Face detection methods reported in the literature are far from perfect and deteriorate ungracefully where lighting conditions cannot be controlled. We propose a method that could potentially outperform state-of-the-art face detection methods in environments with dynamic lighting conditions. The approach capitalize...

Journal: :CoRR 2017
Hui Ding Hao Zhou Shaohua Kevin Zhou Rama Chellappa

Humans focus attention on different face regions when recognizing face attributes. Most existing face attribute classification methods use the whole image as input. Moreover, some of these methods rely on fiducial landmarks to provide defined face parts. In this paper, we propose a cascade network that simultaneously learns to localize face regions specific to attributes and performs attribute ...

2009
Hamidreza Rashidy Kanan Mohammad Shahram Moin

Despite remarkable progress on human face recognition, little attention has been given to robustly recognizing partially occluded faces. In this paper, we propose a new approach to recognize partially occluded faces when only one exemplar image per person is available. In this approach, a face image is represented as an array of Patch PCA (PPCA) extracted from a partitioned face image containin...

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