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7th International Conference on Automatic Face and Gesture Recognition (FGR06)

Date 10-12 April 2006

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Displaying Results 1 - 25 of 111
  • Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition

    Publication Year: 2006, Page(s): c1
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  • 7th International Conference on Automatic Face and Gesture Recognition - Title

    Publication Year: 2006, Page(s):i - iii
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  • 7th International Conference on Automatic Face and Gesture Recognition - Copyright

    Publication Year: 2006, Page(s): iv
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  • 7th International Conference on Automatic Face and Gesture Recognition - TOC

    Publication Year: 2006, Page(s):v - xii
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  • Forward

    Publication Year: 2006, Page(s): xiii
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  • Conference organization

    Publication Year: 2006, Page(s): xiv
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  • Program Committee and Additional Reviewers

    Publication Year: 2006, Page(s):xv - xvi
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  • Graph embedded analysis for head pose estimation

    Publication Year: 2006, Page(s):6 pp. - 8
    Cited by:  Papers (19)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB) | HTML iconHTML

    Head pose is an important vision cue for scene interpretation and human computer interaction. To determine the head pose, one may consider the low-dimensional manifold structure of the face view points in image space. In this paper, we present an appearance-based strategy for head pose estimation using supervised graph embedding (GE) analysis. Thinking globally and fitting locally, we first constr... View full abstract»

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  • Local binary patterns as an image preprocessing for face authentication

    Publication Year: 2006, Page(s):6 pp. - 14
    Cited by:  Papers (39)  |  Patents (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (324 KB) | HTML iconHTML

    One of the major problem in face authentication systems is to deal with variations in illumination. In a realistic scenario, it is very likely that the lighting conditions of the probe image does not correspond to those of the gallery image, hence there is a need to handle such variations. In this work, we present a new preprocessing algorithm based on local binary patterns (LBP): a texture repres... View full abstract»

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  • Preliminary Face Recognition Grand Challenge Results

    Publication Year: 2006, Page(s):15 - 24
    Cited by:  Papers (37)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1168 KB) | HTML iconHTML

    The goal of the face recognition grand challenge (FRGC) is to improve the performance of face recognition algorithms by an order of magnitude over the best results in face recognition vendor test (FRVT) 2002. The FRGC is designed to achieve this performance goal by presenting to researchers a six-experiment challenge problem along with a data corpus of 50,000 images. The data consists of 3D scans ... View full abstract»

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  • Face Recognition from Unconstrained Images: Progress with Prototypes

    Publication Year: 2006, Page(s):25 - 30
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (624 KB) | HTML iconHTML

    Artificial face recognition systems typically do not attempt to handle very variable images. By comparison, human perceivers can recognize familiar faces over much more varied conditions. We describe a prototype face representation based on simple image-averaging. We have argued that this forms a good candidate for understanding human face perception. Here we examine the stability of these represe... View full abstract»

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  • Using Feature Combination and Statistical Resampling for Accurate Face Recognition Based on Frequency Domain Representation of Facial Asymmetry

    Publication Year: 2006, Page(s):31 - 36
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (285 KB) | HTML iconHTML

    This paper explores the efficiency of facial asymmetry in face identification tasks using a frequency domain representation. Satisfactory results are obtained for two different tasks, namely, human identification under extreme expression variations and expression classification, using a PCA-type classifier on a database with 55 individuals, which establishes the robustness of these measures to int... View full abstract»

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  • Face Recognition from a Tabula Rasa Perspective

    Publication Year: 2006, Page(s):37 - 42
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (428 KB) | HTML iconHTML

    In this paper a system for face recognition from a tabula rasa (i.e. blank slate) perspective is described. A priori, the system has the only ability to detect automatically faces and represent them in a space of reduced dimension. Later, the system is exposed to over 400 different identities, observing its recognition performance evolution. The preliminary results achieved indicate on the one sid... View full abstract»

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  • Subspace-based age-group classification using facial images under various lighting conditions

    Publication Year: 2006, Page(s):6 pp. - 48
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (554 KB) | HTML iconHTML

    This paper presents a framework of age-group classification using facial images under various lighting conditions. Our method is based on the appearance-based approach that projects images from the original image space into a face-subspace. We propose a two-phased approach (2DLDA+LDA), which is based on 2DPCA and LDA. Our experimental results show that the new 2DLDA+LDA-based approach improves cla... View full abstract»

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  • Face recognition using the classified appearance-based quotient image

    Publication Year: 2006, Page(s):6 pp. - 54
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (268 KB) | HTML iconHTML

    We propose a new method for synthesizing an illumination normalized image from a face image including diffuse reflection, specular reflection, attached shadow and cast shadow. The method is derived from the self-quotient image (SQI) which is defined by the ratio of albedo at the pixel value to a locally smoothed pixel value. However, the SQI is not synthesized from an image containing shadows or s... View full abstract»

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  • Relighting of Facial Images

    Publication Year: 2006, Page(s):55 - 60
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (813 KB) | HTML iconHTML

    We present a novel method to relight video sequences given known surface shape and illumination. The method preserves fine visual details. It requires single view video frames, approximate 3D shape and standard studio illumination only, making it applicable in studio production. The technique is demonstrated for relighting video sequences of faces View full abstract»

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  • Database size effects on performance on a smart card face verification system

    Publication Year: 2006, Page(s):6 pp. - 66
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (910 KB) | HTML iconHTML

    We study the effect of development set size on system performance, as measured by verification error. The study was performed using the FERET and FRGC2 databases to construct development training sets of varying size, while XM2VTS was used to test the system. Surprisingly, the achievable performance levels off relatively quickly. Increasing the size of the development set does not bring any benefi... View full abstract»

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  • Face Alignment with Unified Subspace Optimization of Active Statistical Models

    Publication Year: 2006, Page(s):67 - 72
    Cited by:  Papers (1)  |  Patents (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (333 KB) | HTML iconHTML

    Active statistical models including active shape models and active appearance models are very powerful for face alignment. They are composed of two parts: the subspace model(s) and the search process. While these two parts are closely correlated, existing efforts treated them separately and had not considered how to optimize them overall. Another problem with the subspace model(s) is that the two ... View full abstract»

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  • A landmark paper in face recognition

    Publication Year: 2006, Page(s):6 pp. - 78
    Cited by:  Papers (8)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (298 KB) | HTML iconHTML

    Good registration (alignment to a reference) is essential for accurate face recognition. The effects of the number of landmarks on the mean localization error and the recognition performance are studied. Two landmarking methods are explored and compared for that purpose: (1) the most likely-landmark locator (MLLL), based on maximizing the likelihood ratio, and (2) Viola-Jones detection. Both use t... View full abstract»

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  • Weighted Gabor features in unitary space for face recognition

    Publication Year: 2006, Page(s):6 pp. - 84
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (231 KB) | HTML iconHTML

    Gabor filters based features, with their good properties of space-frequency localization and orientation selectivity, seem to be the most effective features for face recognition currently. In this paper, we propose a kind of weighted Gabor complex features which combining Gabor magnitude and phase features in unitary space. Its weights are determined according to recognition rates of magnitude and... View full abstract»

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  • Video-based face recognition evaluation in the CHIL project - Run 1

    Publication Year: 2006, Page(s):6 pp. - 90
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (368 KB) | HTML iconHTML

    This paper describes the video-based face recognition evaluation performed under the CHIL project and the systems that participated to it, along with the obtained first year results. The evaluation methodology comprises a specially built database of videos and an evaluation protocol. Two complete automatic face detection and recognition systems from two academic institutions participated to the ev... View full abstract»

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  • Hierarchical ensemble of Gabor Fisher classifier for face recognition

    Publication Year: 2006, Page(s):6 pp. - 96
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4506 KB) | HTML iconHTML

    Gabor feature has been widely recognized as one of the best representations for face recognition. However, traditionally, it has to be reduced in dimension due to curse of dimensionality. In this paper, an ensemble based Gabor Fisher classifier (EGFC) method is proposed, which is an ensemble classifier combining multiple Fisher discriminant analysis (FDA)-based component classifiers learnt using d... View full abstract»

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  • Haar features for FACS AU recognition

    Publication Year: 2006, Page(s):5 pp. - 101
    Cited by:  Papers (32)  |  Patents (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (208 KB) | HTML iconHTML

    We examined the effectiveness of using Haar features and the Adaboost boosting algorithm for FACS action unit (AU) recognition. We evaluated both recognition accuracy and processing time of this new approach compared to the state-of-the-art method of classifying Gabor responses with support vector machines. Empirical results on the Cohn-Kanade facial expression database showed that the Haar+Adaboo... View full abstract»

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  • Robust face recognition by multiscale kernel associative memory models based on hierarchical spatial-domain Gabor transforms

    Publication Year: 2006, Page(s):6 pp. - 107
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4738 KB) | HTML iconHTML

    Face recognition can be considered as a one-class classification problem and associative memory (AM) based approaches have been proven efficient in previous studies. In this paper, a kernel associative memory (KAM) based face recognition scheme with a multiscale Gabor transform, is proposed, in our method, face images of each person are first decomposed into their multiscale representations by a q... View full abstract»

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  • Making 2D face recognition more robust using AAMs for pose compensation

    Publication Year: 2006, Page(s):6 pp. - 113
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (4473 KB) | HTML iconHTML

    The problem of pose in 2D face recognition is widely acknowledged. Commercial systems are limited to near frontal face images and cannot deal with pose deviations larger than 15 degrees from the frontal view. This is a problem, when using face recognition for surveillance applications in which people can move freely. We suggest a preprocessing step to warp faces from a non frontal pose to a near f... View full abstract»

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