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Image Analysis and Processing, 2007. ICIAP 2007. 14th International Conference on

Date 10-14 Sept. 2007

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Displaying Results 1 - 25 of 139
  • 14th International Conference on Image Analysis and Processing-Title

    Publication Year: 2007, Page(s):i - iii
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  • 14th International Conference on Image Analysis and Processing-Copyright

    Publication Year: 2007, Page(s): iv
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  • 14th International Conference on Image Analysis and Processing - TOC

    Publication Year: 2007, Page(s):v - xiii
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  • Foreword

    Publication Year: 2007, Page(s):xiv - xv
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  • Organizers and Sponsors

    Publication Year: 2007, Page(s): xvi
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  • Committees

    Publication Year: 2007, Page(s): xvii
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  • Collarette Area Localization and Asymmetrical Support Vector Machines for Efficient Iris Recognition

    Publication Year: 2007, Page(s):3 - 8
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (470 KB) | HTML iconHTML

    This paper presents an efficient iris recognition technique based on the zigzag collarette area localization and asymmetrical support vector machine. The deterministic feature sequence extracted from the iris images using the ID log-Gabor filters is applied to train the support vector machine (SVM). We use the multi- objective genetic algorithm (MOGA) to optimize the features and also to increase ... View full abstract»

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  • Colour and Geometric based Model for Lip Localisation: Application for Lip-reading System

    Publication Year: 2007, Page(s):9 - 14
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (860 KB) | HTML iconHTML

    Motivated by humans' ability to lipread, the visual component is considered to yield information in the speech recognition system. The lip-reading is the perception of the speech purely based on observing the talker lip movements. The major difficulty of the lip- reading system is the extraction of the visual speech descriptors. In fact, to ensure this task it is necessary to carry out an automati... View full abstract»

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  • Dynamic Score Selection for Fusion of Multiple Biometric Matchers

    Publication Year: 2007, Page(s):15 - 22
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (189 KB) | HTML iconHTML

    A biometric system for user authentication produces a matching score representing the degree of similarity of the input biometry with the set of templates for that user. If the score is greater than a prefixed threshold, then the user is accepted, otherwise the user is rejected. Typically the performance are evaluated in terms of the receiver operating characteristic (ROC) curve, and the equal err... View full abstract»

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  • Integrating Boundary Information in Pairwise Segmentation

    Publication Year: 2007, Page(s):23 - 28
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (580 KB) | HTML iconHTML

    Proximity-based, or pairwise, data clustering techniques are gaining increasing popularity due to their versatility and their ability to easily integrate information of different nature. Despite this, most applications to image segmentation incorporate only region-based information, mainly color and texture similarity. In this paper we propose a general approach for integrating boundary informatio... View full abstract»

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  • Kernelised Relaxation Labelling using Fokker-Planck Diffusion

    Publication Year: 2007, Page(s):29 - 34
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (349 KB) | HTML iconHTML

    This paper shows how the relaxation labelling problem can be formulated as a diffusion process on a support graph using the Fokker-Planck equation. We abstract the labelling problem using a support graph with each graph node representing a possible object-label assignment and the edge weights representing label compatibilities. Initial object-label probabilities are updated using a relaxation-like... View full abstract»

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  • Spectral Generative Models for Graphs

    Publication Year: 2007, Page(s):35 - 42
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (632 KB) | HTML iconHTML

    Generative models are well known in the domain of statistical pattern recognition. Typically, they describe the probability distribution of patterns in a vector space. The individual patterns are defined by vectors and so the individual features of the pattern are well defined. In contrast, very little work has been done with generative models of graphs because graphs do not have a straightforward... View full abstract»

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  • Facing Imbalanced Classes through Aggregation of Classifiers

    Publication Year: 2007, Page(s):43 - 48
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (709 KB) | HTML iconHTML

    Two class classification problems in real world are often characterized by imbalanced classes. This is a serious issue since a classifier trained on such a data distribution typically exhibits a prediction accuracy highly skewed towards the majority class. To improve the quality of the classifier, many approaches have been proposed till now for building artificially balanced training sets. Such me... View full abstract»

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  • Learning Repetitive Patterns for Classifying Non-Rigidly Deforming Texture Surfaces

    Publication Year: 2007, Page(s):49 - 54
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3448 KB) | HTML iconHTML

    In this paper, we address the relatively unexplored problem of classifying texture surfaces undergoing significant levels of non-rigid deformation. State-of-the-art texture classification methods have demonstrated to be very effective for classifying fronto-parallel texture fields. Recently, affine-invariant descriptors have been proposed as an effective way to model local perspective distortion i... View full abstract»

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  • Motion Estimation via Belief Propagation

    Publication Year: 2007, Page(s):55 - 60
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (406 KB) | HTML iconHTML

    We present a probabilistic model for motion estimation in which motion characteristics are inferred on the basis of a finite mixture of motion models. The model is graphically represented in the form of a pairwise Markov random field network upon which a Loopy belief propagation algorithm is exploited to perform inference. Experiments on different video clips are presented and discussed. View full abstract»

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  • Performance Evaluation of Scale-Interpolated Hessian-Laplace and Haar Descriptors for Feature Matching

    Publication Year: 2007, Page(s):61 - 66
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (213 KB) | HTML iconHTML

    This paper studies the performance of various scale- invariant detectors in the context of feature matching. In particular, we propose an implementation of the Hessian-Laplace operator that we called scale-interpolated Hessian-Laplace. This research also proposes to use Haar descriptors which are derived from the Haar wavelet transform. It offers the advantage of being computationally inexpensive ... View full abstract»

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  • Sparseness Achievement in Hidden Markov Models

    Publication Year: 2007, Page(s):67 - 72
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (282 KB) | HTML iconHTML

    In this paper, a novel learning algorithm for Hidden Markov Models (HMMs) has been devised. The key issue is the achievement of a sparse model, i.e., a model in which all irrelevant parameters are set exactly to zero. Alternatively to standard maximum likelihood estimation (Baum Welch training), in the proposed approach the parameters estimation problem is cast into a Bayesian framework, with the ... View full abstract»

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  • Using Bayesian Network for combining classifiers

    Publication Year: 2007, Page(s):73 - 80
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (222 KB) | HTML iconHTML

    In the framework of multiple classifier systems, we suggest to reformulate the classifier combination problem as a pattern recognition one. Following this approach, each input pattern is associated to a feature vector composed by the output of the classifiers to be combined. A Bayesian Network is used to automatically infer the probability distribution for each class and eventually to perform the ... View full abstract»

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  • A Method of Clustering Combination Applied to Satellite Image Analysis

    Publication Year: 2007, Page(s):81 - 86
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (140 KB) | HTML iconHTML

    An algorithm for combining results of different clusterings is presented in this paper, the objective of which is to find groups of patterns which are common to all clusterings. The idea of the proposed combination is to group those samples which are in the same cluster in most cases. We formulate the combination as the resolution of a linear set of equations with binary constraints. The advantage... View full abstract»

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  • Ball Position and Motion Reconstruction from Blur in a Single Perspective Image

    Publication Year: 2007, Page(s):87 - 92
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (3001 KB) | HTML iconHTML

    We consider the problem of localizing a moving ball from a single calibrated perspective image; after showing that ordinary algorithms fail in analyzing motion blurred scenes, we describe a theoretically-sound model for the blurred image of a ball. Then, we present an algorithm capable of recovering both the ball 3D position and its velocity. The algorithm is experimentally validated both on real ... View full abstract»

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  • Calibration and Image Generation of Mobile Projector-Camera Systems

    Publication Year: 2007, Page(s):93 - 98
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (478 KB) | HTML iconHTML

    The projector-camera system has recently been studied extensively as one of new information presenting systems. For generating screen images properly, it is important to calibrate projector-camera systems accurately. The existing methods for calibrating projector-camera systems are based on 4 markers on the screen and 4 light projections from projectors, and thus require at least 8 basis points to... View full abstract»

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  • Hybrid Stereo Sensor with Omnidirectional Vision Capabilities: Overview and Calibration Procedures

    Publication Year: 2007, Page(s):99 - 104
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (238 KB) | HTML iconHTML

    In this paper, we present a compact hybrid video sensor that combines perspective and omnidirectional vision to achieve a 360deg field of view, as well as high-resolution images. Those characteristics, in association with 3D metric reconstruction capabilities, are suitable for vision tasks such as surveillance and obstacle detection for autonomous robot navigation. We describe the sensor calibrati... View full abstract»

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  • Image Spam Filtering Using Visual Information

    Publication Year: 2007, Page(s):105 - 110
    Cited by:  Papers (8)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (280 KB) | HTML iconHTML

    We address the problem of recognizing the so-called image spam, which consists in embedding the spam message into attached images to defeat techniques based on the analysis of e-mails' body text, and in using content obscuring techniques to defeat OCR tools. We propose an approach to recognize image spam based on detecting the presence of content obscuring techniques, and describe a possible imple... View full abstract»

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  • Localization of ahead vehicles with on-board stereo cameras

    Publication Year: 2007, Page(s):111 - 116
    Cited by:  Papers (2)  |  Patents (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (515 KB) | HTML iconHTML

    This paper introduces a vision based algorithm that detects and localizes ahead vehicles elaborating images taken by a stereo camera installed on an intelligent vehicle. The algorithm is based on the analysis of stereo images, estimating the ground plane by least square fitting of disparity data, and segmenting the obstacles by a rule based split/merge strategy. Quantitative experiments on complex... View full abstract»

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  • Rectification of 3D Data Obtained from Moving Range Sensors by using Multiple View Geometry

    Publication Year: 2007, Page(s):117 - 122
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1909 KB) | HTML iconHTML

    For measuring the 3D shape of large objects, scanning by a moving range sensor is one of the most efficient method. However, if we use moving range sensors, the obtained data have some distortions due to the movement of the sensor during the scanning process. In this paper, we propose a method for recovering correct 3D range data from a moving range sensor by using the multiple view geometry. We a... View full abstract»

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