نتایج جستجو برای: c face

تعداد نتایج: 1209140  

Journal: :Mechanical Engineering 2018

Journal: :Psychonomic bulletin & review 2006
Gernot Horstmann Ingrid Scharlau Ulrich Ansorge

In the present study, we examined whether the detection advantage for negative-face targets in crowds of positive-face distractors over positive-face targets in crowds of negative faces can be explained by differentially efficient distractor rejection. Search Condition A demonstrated more efficient distractor rejection with negative-face targets in positive-face crowds than vice versa. Search C...

2003
Thomas S. Huang

We describe a visual face tracking algorithm which tracks the global as well as the nonrigid face movement in three dimensions using one camera. It is based on 3D face models. Using the face movement constraints, it is possible to track robustly and in real time. The results of the face tracking have been used in a number of applications including lip reading and emotion recogntion. In both cas...

Fateme Sari Aslani Hoda Ghoreishi, Ladan Dastgheib

Case: A 54-year-old woman was visited with a history of asymptomatic gray-brown discoloration of the facial skin at our dermatology clinic. The lesions first appeared on her chin and then became progressively darker and extended to her nose and, to a lesser extent, to the periphery of her face over a period of five years. She mentioned that the lesions worsened with heat and sun exposure. Her p...

Journal: :Electronic Notes in Discrete Mathematics 2016
Francisco Criado Francisco Santos

A pure simplicial complex of dimension d − 1 (or a (d − 1)-complex, for short) is any family C of d-element subsets of a set V (tipycally, V = [n] := {1, . . . , n}). Elements of C are called facets of C and any subset of a facet is called a face. More precisely, a k-face is a face with k + 1 elements. Faces of dimensions 0, 1, and d − 2 are called, respectively, vertices, edges and ridges of C...

2005
Fethi Smach Mohamed Atri Johel Mitéran Mohamed Abid

Face detection and recognition has many applications in a variety of fields such as security system, videoconferencing and identification. Face classification is currently implemented in software. A hardware implementation allows real-time processing, but has higher cost and time to-market. The objective of this work was to implement a classifier based on neural networks MLP (Multi-layer Percep...

Journal: :EURASIP J. Adv. Sig. Proc. 2004
Jiang Liu Kia-Fock Loe HongJiang Zhang

Robust face detection in complex airport environment is a challenging task. The complexity in such detection systems stems from the variances in image background, view, illumination, articulation, and facial expression. This paper presents the S-AdaBoost, a new variant of AdaBoost developed for the face detection system for airport operators (FDAO). In face detection application, the contributi...

Journal: :Pattern Recognition 1998
Stephen J. McKenna Shaogang Gong Yogesh Raja

An integrated system for the acquisition, normalisation and recognition of moving faces in dynamic scenes is introduced. Four face recognition tasks are deened and it is argued that modelling person-speciic probability densities in a generic face space using mixture models provides a technique applicable to all four tasks. The use of Gaussian colour mixtures for face detection and tracking is a...

Journal: :Autism research : official journal of the International Society for Autism Research 2017
Tianbi Li Xueqin Wang Junhao Pan Shuyuan Feng Mengyuan Gong Yaxue Wu Guoxiang Li Sheng Li Li Yi

The processing of social stimuli, such as human faces, is impaired in individuals with autism spectrum disorder (ASD), which could be accounted for by their lack of social motivation. The current study examined how the attentional processing of faces in children with ASD could be modulated by the learning of face-reward associations. Sixteen high-functioning children with ASD and 20 age- and ab...

2010
Aryuanto Soetedjo Koichi Yamada F. Yudi Limpraptono

This paper presents a new lip detection method based-on normalized RGB chromaticity diagram. The method consists of three stages: face detection, lip region localization and lip detection. The popular Viola-Jones face detection technique is employed in the face detection stage. In the lip detection stage, lip color is extracted using our novel color segmentation method that exploits the distrib...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید