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192
Face Mis-alignment Analysis by Multiple-Instance Subspace
, 2016
"... Abstract. In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a novel multiple-instance based subspace learning scheme for face recognition. In this approach, we iter-atively upd ..."
Abstract
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Abstract. In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a novel multiple-instance based subspace learning scheme for face recognition. In this approach, we iter-atively
Face Mis-alignment Analysis by Multiple-Instance Subspace
"... Abstract. In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a novel multiple-instance based subspace learning scheme for face recognition. In this approach, we iter-atively upd ..."
Abstract
- Add to MetaCart
Abstract. In this paper, we systematically study the effect of poorly registered faces on the training and inferring stages of traditional face recognition algorithms. We then propose a novel multiple-instance based subspace learning scheme for face recognition. In this approach, we iter-atively
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 ..."
Misalignment-robust face recognition
- IEEE TIP
, 2010
"... In this paper, we study the problem of subspace-based face recognition under scenarios with spatial misalign-ments and/or image occlusions. For a given subspace, the embedding of a new datum and the underlying spatial mis-alignment parameters are simultaneously inferred by solv-ing a constrained 1 n ..."
Abstract
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Cited by 17 (1 self)
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In this paper, we study the problem of subspace-based face recognition under scenarios with spatial misalign-ments and/or image occlusions. For a given subspace, the embedding of a new datum and the underlying spatial mis-alignment parameters are simultaneously inferred by solv-ing a constrained 1
Curse of mis-alignment in face recognition: Problem and a novel mis-alignment learning solution
- in Proc. IEEE Int. Conf. Automatic Face and Gesture Recognition
"... In this paper, we present the rarely concerned curse of mis-alignment problem in face recognition, and propose a novel mis-alignment learning solution. Mis-alignment problem is firstly empirically investigated through systematically evaluating Fisherface’s sensitivity to mis-alignment on the FERET f ..."
Abstract
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Cited by 30 (3 self)
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In this paper, we present the rarely concerned curse of mis-alignment problem in face recognition, and propose a novel mis-alignment learning solution. Mis-alignment problem is firstly empirically investigated through systematically evaluating Fisherface’s sensitivity to mis-alignment on the FERET
E.: Improving face gender classification by adding deliberately misaligned faces to the training data
- In: Proceeding of 23rd International Conference Image and Vision Computing New Zealand 2008 (IVCNZ
, 2008
"... A novel method of face gender classifier construction is proposed and evaluated. Previously, researchers have assumed that a computationally expensive face alignment step (in which the face image is transformed so that facial landmarks such as the eyes, nose, chin, etc, are in uniform locations in t ..."
Abstract
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Cited by 3 (1 self)
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in the image) is required in order to maximize the accuracy of predictions on new face images. We, however, argue that this step is not necessary, and that machine learning classifiers can be made robust to face misalignments by automatically expanding the training data with examples of faces that have been
Abstract Curse of Mis-alignment in Face Recognition: Problem and a Novel Mis-alignment Learning Solution
"... In this paper, we present the rarely concerned curse of mis-alignment problem in face recognition, and propose a novel mis-alignment learning solution. Mis-alignment problem is firstly empirically investigated through systematically evaluating Fisherface’s sensitivity to misalignment on the FERET fa ..."
Abstract
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In this paper, we present the rarely concerned curse of mis-alignment problem in face recognition, and propose a novel mis-alignment learning solution. Mis-alignment problem is firstly empirically investigated through systematically evaluating Fisherface’s sensitivity to misalignment on the FERET
Efficient Misalignment-Robust Representation for Real-Time Face Recognition
"... Abstract. Sparse representation techniques for robust face recognition have been widely studied in the past several years. Recently face recognition with simultaneous misalignment, occlusion and other variations has achieved interesting results via robust alignment by sparse representation (RASR). I ..."
Abstract
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Cited by 5 (0 self)
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Abstract. Sparse representation techniques for robust face recognition have been widely studied in the past several years. Recently face recognition with simultaneous misalignment, occlusion and other variations has achieved interesting results via robust alignment by sparse representation (RASR
Currency Misalignments and Optimal Monetary Policy:
, 2009
"... This paper examines optimal monetary policy in an open-economy two-country model with sticky prices. We show that currency misalignments are inefficient and lower world welfare. We find that optimal policy must target not only inflation and the output gap, but also the currency misalignment. However ..."
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This paper examines optimal monetary policy in an open-economy two-country model with sticky prices. We show that currency misalignments are inefficient and lower world welfare. We find that optimal policy must target not only inflation and the output gap, but also the currency misalignment
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2009 1 Misalignment-Robust Face Recognition
"... Abstract — Subspace learning techniques for face recognition have been widely studied in the past three decades. In this paper, we study the problem of general subspace-based face recognition under the scenarios with spatial misalignments and/or image occlusions. For a given subspace derived from tr ..."
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Abstract — Subspace learning techniques for face recognition have been widely studied in the past three decades. In this paper, we study the problem of general subspace-based face recognition under the scenarios with spatial misalignments and/or image occlusions. For a given subspace derived from
Results 1 - 10
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