نتایج جستجو برای: face components

تعداد نتایج: 545737  

2011
Ali Atharifard Sedigheh Ghofrani

Face detection is an important topic in many applications. Variation of illumination and pose in addition to existence occlusion and orientation decrease the algorithm performance. These factors change global facial appearance. Using component-based methods, we can overcome the referred problems. Because of face components are less affected by these factors. In this paper, we propose a novel co...

2009
Dongmin Jeong Sang-Woo Ban Minho Lee

In this paper, a new feature extraction algorithm considering both two-directional two-dimensional principal component analysis ((2D)2PCA) and independent component analysis(ICA), called (2D)2PCA-ICA, is proposed for face representation. This algorithm analyzes the principal components of image vectors on 2D matrices by simultaneously considering the row and column directions as opposed to the ...

Journal: :SAGE Open 2022

Deciding the proportion of online to face-to-face components a blended learning course is complex problem that entails many decisions. These decisions are affected by different criteria related nature course, educational institution, teacher, and students. The impact these influential on design process not always obvious. aim this study assist academics successful courses investigating need con...

2009
S. Halder D. Bhattacherjee M. Nasipuri D. K. Basu M. Kundu

This paper presents a novel type-2 Fuzzy logic System to define the Shape of a facial component with the crisp output. The Fuzzy model, designed in this paper, takes crisp value of width and height of a facial component and produces the crisp value of Shape for different facial components. The Fuzzy model is designed using Matlab 6.5 and Visual Basic 6.0 and tested with the facial components ex...

Journal: :Image Vision Comput. 2006
Anuj Srivastava Xiuwen Liu Curt Hesher

This paper investigates the use of range images of faces for recognizing people. 3D scans of faces lead to range images that are linearly projected to low-dimensional subspaces for use in a classifier, say a nearest neighbor classifier or a support vector machine, to label people. Learning of subspaces is performed using an optimal component analysis, i.e. a stochastic optimization algorithm (o...

2010
Jaewook Jung Hanbit Park Shin Kang Minsoo Hahn

Most of the commercialized games have used controller by manipulated hands or foots. Recently, some studies tried to facial expressions or emotion as game input, but it didn’t directly manipulate a game. It adjusted the difficulty of game. In this study, we suggest a new type of game input interface using face components as input, directly, and present one offline game and two online games by u...

2009
HATIM A. ABOALSAMH HASSAN I. MATHKOUR

Face recognition has recently received significant attention as one of the challenging and promising fields of computer vision and pattern recognition. It plays a significant role in many security and forensic applications such as person authentication in access control systems and person identification in real time video surveillance systems. This paper studies two appearance-based approaches ...

Journal: :CoRR 2006
Santanu Halder Debotosh Bhattacharjee Mita Nasipuri Dipak Kumar Basu Mahantapas Kundu

This paper aims at VLSI realization for generation of a new face from textual description. The FASY (FAce SYnthesis) System is a Face Database Retrieval and new Face generation System that is under development. One of its main features is the generation of the requested face when it is not found in the existing database. The new face generation system works in three steps – searching phase, ass...

Journal: :Memory & cognition 1996
P J Hancock A M Burton V Bruce

Principal components analysis (PCA) of face images is here related to subjects' performance on the same images. In two experiments subjects were shown a set of faces and asked to rate them for distinctiveness. They were subsequently shown a superset of faces and asked to identify those that had appeared originally. Replicating previous work, we found that hits and false positives (FPs) did not ...

1998
Wenyi Zhao Rama Chellappa Arvind Krishnaswamy

In this paper we describe a face recognition method based on PCA (Principal Component Analysis) and LDA (Linear Discriminant Analysis). The method consists of two steps: rst we project the face image from the original vector space to a face subspace via PCA, second we use LDA to obtain a best linear clas-siier. The basic idea of combining PCA and LDA is to improve the generalization capability ...

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