Sixth IEEE International Conference on Automatic Face and Gesture Recognition, 2004. Proceedings.

19-19 May 2004

Filter Results

Displaying Results 1 - 25 of 153
  • Proceedings. Sixth IEEE International Conference on Automatic Face and Gesture Recognition

    Publication Year: 2004
    Request permission for commercial reuse | PDF file iconPDF (1247 KB)
    Freely Available from IEEE
  • [Breaker page]

    Publication Year: 2004, Page(s): ii
    Request permission for commercial reuse | PDF file iconPDF (1231 KB)
    Freely Available from IEEE
  • Proceedings Sixth IEEE International Conference on Automatic Face and Gesture Recognition [Title]

    Publication Year: 2004, Page(s): iii
    Request permission for commercial reuse | PDF file iconPDF (1267 KB)
    Freely Available from IEEE
  • Copyright

    Publication Year: 2004, Page(s): iv
    Request permission for commercial reuse | PDF file iconPDF (1259 KB)
    Freely Available from IEEE
  • FGR 2004 Table of contents

    Publication Year: 2004, Page(s):v - xiv
    Request permission for commercial reuse | PDF file iconPDF (1278 KB)
    Freely Available from IEEE
  • Preface

    Publication Year: 2004, Page(s): xv
    Request permission for commercial reuse | PDF file iconPDF (1243 KB) | HTML iconHTML
    Freely Available from IEEE
  • Conference organizers

    Publication Year: 2004, Page(s): xvi
    Request permission for commercial reuse | PDF file iconPDF (1237 KB)
    Freely Available from IEEE
  • Program Committee

    Publication Year: 2004, Page(s): xvii
    Request permission for commercial reuse | PDF file iconPDF (1233 KB)
    Freely Available from IEEE
  • Model-based and image-based methods for facial image synthesis, analysis and recognition

    Publication Year: 2004, Page(s):3 - 8
    Cited by:  Papers (2)  |  Patents (4)
    Request permission for commercial reuse | PDF file iconPDF (1989 KB) | HTML iconHTML
    Freely Available from IEEE
  • On automated model-based extraction and analysis of gait

    Publication Year: 2004, Page(s):11 - 16
    Cited by:  Papers (80)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1638 KB) | HTML iconHTML

    We develop a new model-based extraction process guided by biomechanical analysis for walking people, and analyse its data for recognition capability. Hierarchies of shape and motion yield relatively modest computational demands, while anatomical data is used to generate shape models consistent with normal human body proportions. Mean gait data is used to create prototype gait motion models, which ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • 3D tracking for gait characterization and recognition

    Publication Year: 2004, Page(s):17 - 22
    Cited by:  Papers (41)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1977 KB) | HTML iconHTML

    We propose an approach to gait analysis that relies on fitting 3D temporal motion models to synchronized video sequences. These models allow us not only to track but also to recover motion parameters that can be used to recognize people and characterize their style. Because our method is robust to occlusions and insensitive to changes in direction of motion, our proposed approach has the potential... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Amplitude spectrum-based gait recognition

    Publication Year: 2004, Page(s):23 - 28
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1421 KB) | HTML iconHTML

    Gait is a biometric feature and identification of people from gait captured on video that has become a challenging problem in computer vision. A recognition method based on amplitude spectrum (Fourier spectrum) of frequency domain is proposed. Fourier spectrum reflects the frequency feature of person's pose in the current frame. After getting the period and key poses through the whole sequence acc... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Finding optimal views for 3D face shape modeling

    Publication Year: 2004, Page(s):31 - 36
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1626 KB) | HTML iconHTML

    A fundamental problem in multi-view 3D face modeling is the determination of the set of optimal views (poses) required for accurate 3D shape estimation of a generic face. There is no analytical solution to this problem, instead (partial) solutions require (near) exhaustive combinatorial search, hence the inherent computational difficulty of this task. We build on our previous modeling framework, w... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive learning of an accurate skin-color model

    Publication Year: 2004, Page(s):37 - 42
    Cited by:  Papers (16)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1976 KB) | HTML iconHTML

    Due to variations of lighting conditions, camera hardware settings, and the range of skin coloration among human beings, a pre-defined skin-color model cannot accurately capture the wide distribution of skin colors in individual images. In this paper, we propose an adaptive skin-detection method, which allows modeling true skin-color distribution with significantly higher accuracy and flexibility ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multi-biometrics using facial appearance, shape and temperature

    Publication Year: 2004, Page(s):43 - 48
    Cited by:  Papers (13)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1437 KB) | HTML iconHTML

    We present results of the first study to examine individual and multi-modal face recognition using 2D, 3D and infrared images of the same set of subjects. Each sensor captures different aspects of human facial features; appearance in intensity representing surface reflectance from a light source, shape data representing depth values from the camera, and the pattern of heat emitted, respectively. W... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Image-based photorealistic 3-D face modeling

    Publication Year: 2004, Page(s):49 - 54
    Cited by:  Papers (8)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1705 KB) | HTML iconHTML

    In this paper, we describe an automatic system for 3-D photorealistic face modeling from frontal and profile images taken by an uncalibrated handheld digital camera. The system employs a generic model adaptation framework. That is, after the fiducial features are detected from both images, a generic head model is deformed to match with the detected features. Realistic texture is created by combini... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Trainable videorealistic speech animation

    Publication Year: 2004, Page(s):57 - 64
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1601 KB) | HTML iconHTML

    We describe how to create with machine learning techniques a generative, videorealistic, and speech animation module. A human subject is first recorded using a videocamera as he/she utters a pre-determined speech corpus. After processing the corpus automatically, a visual speech module is learned from the data that is capable of synthesizing the human subject's mouth uttering entirely novel uttera... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Affine-invariant face detection and localization using GMM-based feature detector and enhanced appearance model

    Publication Year: 2004, Page(s):67 - 72
    Cited by:  Papers (11)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1541 KB) | HTML iconHTML

    We present an affine-invariant face detection and localization using GMM-based feature detector and enhanced appearance model. We measure the performance of the method on the realistic BioID and also XM2VTS databases applying a stringent localization error criterion. Compared to our original method, the results have improved by a factor of 2 and are considerably better on a challenging database th... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Expand training set for face detection by GA re-sampling

    Publication Year: 2004, Page(s):73 - 78
    Cited by:  Papers (5)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1438 KB) | HTML iconHTML

    Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this problem. This paper presents a genetic algorithm (GA)-based method to swell face database through re-sampling from existing faces. The basic idea is that a face is composed of a limited components set, and the GA can simu... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Fast rotation invariant multi-view face detection based on real Adaboost

    Publication Year: 2004, Page(s):79 - 84
    Cited by:  Papers (63)  |  Patents (13)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1576 KB) | HTML iconHTML

    In this paper, we propose a rotation invariant multi-view face detection method based on Real Adaboost algorithm. Human faces are divided into several categories according to the variant appearance from different viewpoints. For each view category, weak classifiers are configured as confidence-rated look-up-table (LUT) of Haar feature. Real Adaboost algorithm is used to boost these weak classifier... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Face alignment under variable illumination

    Publication Year: 2004, Page(s):85 - 90
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2511 KB) | HTML iconHTML

    This paper presents an approach to face alignment under variable illumination, an obstacle largely ignored in previous 2D alignment work. To account for illumination variation, our method employs two forms of relatively lighting-invariant information. Edge phase congruency is adopted to coarsely localize facial features, since prominent feature edges can be robustly located in the presence of shad... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Face detection with the modified census transform

    Publication Year: 2004, Page(s):91 - 96
    Cited by:  Papers (173)  |  Patents (81)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1481 KB) | HTML iconHTML

    Illumination variation is a big problem in object recognition, which usually requires a costly compensation prior to classification. It would be desirable to have an image-to-image transform, which uncovers only the structure of an object for an efficient matching. In this context the contribution of our work is two-fold. First, we introduce illumination invariant local structure features for obje... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Particle filtering with factorized likelihoods for tracking facial features

    Publication Year: 2004, Page(s):97 - 102
    Cited by:  Papers (46)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (2019 KB) | HTML iconHTML

    In the recent years particle filtering has been the dominant paradigm for tracking facial and body features, recognizing temporal events and reasoning in uncertainty. A major problem associated with it is that its performance deteriorates drastically when the dimensionality of the state space is high. In this paper, we address this problem when the state space can be partitioned in groups of rando... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Interactive analysis and synthesis of facial expressions based on personal facial expression space

    Publication Year: 2004, Page(s):105 - 110
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1605 KB) | HTML iconHTML

    In this paper novel methods for interactive facial expression analysis and synthesis are presented based on personal facial expression space (PFES). We proposed PFES to recognize person-specific, primary facial expression image sequences by both temporal and spatial characteristics taken into consideration. On PFES, facial expression parameters which are compatible with MPEG-4 high level facial ex... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • An automated face reader for fatigue detection

    Publication Year: 2004, Page(s):111 - 116
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1669 KB) | HTML iconHTML

    An automated system for facial expression recognition is always desirable. However, it is a challenging issue due to the richness and ambiguities with daily facial expressions. This paper presents an efficient approach to recognition of facial expressions of interest. By integrating dynamic Bayesian network (DBN) with the general facial expression language (FACS), a task-oriented stochastic and te... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.