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Results 1 - 10
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16,487
Component-based Face Recognition with 3D Morphable Models
- In Proc. of the 4th Int’l Conf. on Audio- and Video-Based Biometric Person Authenticitation Surrey
, 2003
"... This thesis presents a novel approach to pose and illumination invariant face recognition that combines two recent advances in the computer vision field: component-based recognition and 3D morphable models. In a first step a 3D morphable model is used to generate 3D face models from only two input i ..."
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This thesis presents a novel approach to pose and illumination invariant face recognition that combines two recent advances in the computer vision field: component-based recognition and 3D morphable models. In a first step a 3D morphable model is used to generate 3D face models from only two input
Component-based Face Recognition with 3D Morphable Models
- IEEE WORKSHOP ON FACE PROCESSING IN VIDEO
, 2003
"... We present a system for pose and illumination invariant face recognition that combines two recent advances in the computer vision field: 3D morphable models and componentbased recognition. A 3D morphable model is used to compute 3D face models from three input images of each subject in the training ..."
Abstract
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Cited by 45 (2 self)
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database. The 3D models are rendered under varying pose and illumination conditions to build a large set of synthetic images. These images are then used for training a component-based face recognition system. The face recognition module is preceded by a fast hierarchical face detector resulting in a system
Morphable Models for Training a Component-based Face Recognition System
"... In this chapter we present a system for face recognition that combines two recent advances in computer graphics and computer vision: 3D morphable models and component-based recognition. By fitting a morphable model to a triplet of face images we generate a 3D head model for each person in our face d ..."
Abstract
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Cited by 3 (0 self)
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In this chapter we present a system for face recognition that combines two recent advances in computer graphics and computer vision: 3D morphable models and component-based recognition. By fitting a morphable model to a triplet of face images we generate a 3D head model for each person in our face
Component-based Face Recognition with 3D Morphable Models, Audio and Video Based Biometric Person Authetication
, 2003
"... and to grant others the right to do so. ..."
Face description with local binary patterns: Application to face recognition
- IEEE Trans. Pattern Analysis and Machine Intelligence
, 2006
"... Abstract—This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a ..."
Abstract
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Cited by 526 (27 self)
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face descriptor. The performance of the proposed method is assessed in the face recognition problem under different challenges. Other applications and several extensions are also discussed. Index Terms—Facial image representation, local binary pattern, component-based face recognition, texture features
AUTOMATIC FACE RECOGNITION UNDER COMPONENT-BASED MANIFOLDS
"... The objective of this work is to recognize faces with temporal image sequences captured by arbitrary CCD camera. The difficulties of face recognition are primarily the variations due to pose, scale, illumination, expression and may be partial occluded. We proposed a component-based face recognition ..."
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The objective of this work is to recognize faces with temporal image sequences captured by arbitrary CCD camera. The difficulties of face recognition are primarily the variations due to pose, scale, illumination, expression and may be partial occluded. We proposed a component-based face recognition
Face recognition using component-based svm classification and morphable models
- SVM
, 2002
"... Abstract. We present a novel approach to pose and illumination invariant face recognition that combines two recent advances in the computer vision field: component-based recognition and 3D morphable models. In a first step a 3D morphable model is used to generate 3D face models from only two input i ..."
Abstract
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Cited by 20 (3 self)
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Abstract. We present a novel approach to pose and illumination invariant face recognition that combines two recent advances in the computer vision field: component-based recognition and 3D morphable models. In a first step a 3D morphable model is used to generate 3D face models from only two input
Face Recognition: A Literature Survey
, 2000
"... ... This paper provides an up-to-date critical survey of still- and video-based face recognition research. There are two underlying motivations for us to write this survey paper: the first is to provide an up-to-date review of the existing literature, and the second is to offer some insights into ..."
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Cited by 1398 (21 self)
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... This paper provides an up-to-date critical survey of still- and video-based face recognition research. There are two underlying motivations for us to write this survey paper: the first is to provide an up-to-date review of the existing literature, and the second is to offer some insights
Face recognition: features versus templates
- IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
, 1993
"... Over the last 20 years, several different techniques have been proposed for computer recognition of human faces. The purpose of this paper is to compare two simple but general strategies on a common database (frontal images of faces of 47 people: 26 males and 21 females, four images per person). We ..."
Abstract
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Cited by 749 (25 self)
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Over the last 20 years, several different techniques have been proposed for computer recognition of human faces. The purpose of this paper is to compare two simple but general strategies on a common database (frontal images of faces of 47 people: 26 males and 21 females, four images per person
Face recognition using laplacianfaces
- IEEE Transactions on Pattern Analysis and Machine Intelligence
, 2005
"... Abstract—We propose an appearance-based face recognition method called the Laplacianface approach. By using Locality Preserving Projections (LPP), the face images are mapped into a face subspace for analysis. Different from Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) wh ..."
Abstract
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Cited by 389 (38 self)
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Abstract—We propose an appearance-based face recognition method called the Laplacianface approach. By using Locality Preserving Projections (LPP), the face images are mapped into a face subspace for analysis. Different from Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA
Results 1 - 10
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16,487
