By Topic

Machine Vision and Image Processing Conference, 2008. IMVIP '08. International

Date 3-5 Sept. 2008

Filter Results

Displaying Results 1 - 25 of 37
  • [Front cover]

    Publication Year: 2008, Page(s): C1
    Request permission for commercial reuse | PDF file iconPDF (362 KB)
    Freely Available from IEEE
  • [Title page i]

    Publication Year: 2008, Page(s): i
    Request permission for commercial reuse | PDF file iconPDF (9 KB)
    Freely Available from IEEE
  • [Title page iii]

    Publication Year: 2008, Page(s): iii
    Request permission for commercial reuse | PDF file iconPDF (66 KB)
    Freely Available from IEEE
  • [Copyright notice]

    Publication Year: 2008, Page(s): iv
    Request permission for commercial reuse | PDF file iconPDF (54 KB)
    Freely Available from IEEE
  • Table of contents

    Publication Year: 2008
    Request permission for commercial reuse | PDF file iconPDF (43 KB)
    Freely Available from IEEE
  • Foreword

    Publication Year: 2008, Page(s): viii
    Request permission for commercial reuse | PDF file iconPDF (28 KB) | HTML iconHTML
    Freely Available from IEEE
  • Committees

    Publication Year: 2008, Page(s):ix - x
    Request permission for commercial reuse | PDF file iconPDF (31 KB)
    Freely Available from IEEE
  • Principles Emerging from the Design of Visual Search Algorithms for Practical Inspection Tasks

    Publication Year: 2008, Page(s):3 - 20
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (849 KB) | HTML iconHTML

    This paper is targeted at the design of inspection algorithms involving fast visual search for features, products, and the artefacts that accompany them. The work is based on a number of cereal grain inspection tasks that have presented important problems relating to robustness, sensitivity, accuracy and speed of operation. Techniques covered include multi-level thresholding, morphological operato... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Dynamic Markov Random Fields

    Publication Year: 2008, Page(s):21 - 26
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (641 KB) | HTML iconHTML

    In this talk the author will outline some of the recent work undertaken by the Oxford Brookes Vision Group, a common theme underlying much of the research is to cast vision problems in terms of combinatorial optimization which provides a rich a deep theory for understanding them, with many new and exciting results. View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Biomedical Image Analysis at the Cellular Level

    Publication Year: 2008, Page(s): 27
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (120 KB) | HTML iconHTML

    Summary form only given. The future of biomedical image analysis is no longer in anatomical imaging but in imaging of pathways and mechanisms at the cellular level and below. In this talk I present image analysis techniques for rolling leukocytes observed in vivo. Rolling leukocytes are activated white blood cells. The motion, shape, flux, number and position of these cells are important indicator... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Analysis of Sign Language Gestures Using Size Functions and Principal Component Analysis

    Publication Year: 2008, Page(s):31 - 36
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1584 KB) | HTML iconHTML

    This paper presents a computer vision based virtual learning environment for teaching communicative hand gestures used in Sign Language. A virtual learning environment was developed to demonstrate signs to the user. The system then gives real time feedback to the user on their performance of the demonstrated sign. Gesture features are extracted from a standard web-cam video stream and shape and tr... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Automatic Recognition of Partial Shoeprints Using a Correlation Filter Classifier

    Publication Year: 2008, Page(s):37 - 42
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (432 KB) | HTML iconHTML

    In this work we investigate the performance of Advanced Correlation Filters (ACFs) in the automatic classification of partial shoeprints for use in forensic science. In particular, the Optimum Trade-off Synthetic Discriminant Function (OTSDF) filter is used to match low quality partial shoeprints. Experiments were conducted on a database of images of 100 different shoes available on the market. Fo... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multispectral Satellite Image Segmentation Using Fuzzy Clustering and Nonlinear Filtering Methods

    Publication Year: 2008, Page(s):43 - 48
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (841 KB) | HTML iconHTML

    Segmentation method for processing the multispectral satellite images based on fuzzy clustering and nonlinear filtering is represented. Three fuzzy clustering algorithms, namely Fuzzy C-means, Gustafson-Kessel, and Gath-Gevawith and without preliminary processing have been tested. The experimental results obtained using these algorithms with and without preliminary nonlinear filtering the source L... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Face Components Detection Using SURF Descriptors and SVMs

    Publication Year: 2008, Page(s):51 - 56
    Cited by:  Papers (16)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (515 KB) | HTML iconHTML

    We present a feature-based method to classify salient points as belonging to objects in the face or background classes. We use SURF local descriptors (speeded up robust features) to generate feature vectors and use SVMs (support vector machines) as classifiers. Our system consists of a two-layer hierarchy of SVMs classifiers. On the first layer, a single classifier checks whether feature vectors a... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multicues Face Detection in Complex Background for Frontal Faces

    Publication Year: 2008, Page(s):57 - 62
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (556 KB) | HTML iconHTML

    Face recognition (FR) systems are increasingly gaining more importance. Face detection and tracking in a complex scene forms the first step in building a practical FR system. In this paper a hybrid algorithm to detect face(s) in color images is introduced. The algorithm uses color histogram for skin (in the HSV color space) in conjunction with shape information and facial feature detection to quic... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Modelling the Manifold of Facial Expression Using Texture

    Publication Year: 2008, Page(s):63 - 68
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (813 KB) | HTML iconHTML

    The speed and intensity of the appearance changes that occur during the formation of facial expressions provide important information about the underlying meaning of the expression itself. In the past we have demonstrated the effectiveness of using locally linear embedding with facial shape information for estimating the dynamics of facial expression. This approach was only suitable for specific e... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Behaviour Analysis and Prediction in Image Sequences Using Rough Sets

    Publication Year: 2008, Page(s):71 - 76
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (377 KB) | HTML iconHTML

    In this paper, a rough set based data mining technique is extended and applied to learn behaviour patterns of moving objects in videos. An intelligent image analysis system is proposed to discover knowledge from video collections. The system is applied to synthetic image sequences containing motions of a predator and prey behaving according to a set of rules. The results show that the system is ab... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Evaluation of Multi-part Models for Mean-Shift Tracking

    Publication Year: 2008, Page(s):77 - 82
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (329 KB) | HTML iconHTML

    Mean-shift tracking is a data-driven technique for tracking objects through a video sequence. We propose an innovation to mean-shift tracking that combines the background exclusion constraint with multi-part appearance models. The former constraint prevents the tracker from moving to regions where no foreground objects are present, while the multi-part nature of the models enforces a spatial struc... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Biometric Identification Using Motion History Images of a Speaker's Lip Movements

    Publication Year: 2008, Page(s):83 - 88
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (468 KB) | HTML iconHTML

    This paper describes a new simple, but effective, approach to speaker verification using video sequences of lip movements. We use motion history images (MHI) to provide a biometric template of a spoken word for each speaker. Class-dependent correlation filters are then created by a weighted optimization of training MHI samples. Feature extraction is performed by correlating a test MHI against each... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Automatic Estimation of Camera Position in Robot Soccer

    Publication Year: 2008, Page(s):91 - 96
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (806 KB) | HTML iconHTML

    On the robot soccer field it is important to know where the camera is positioned to correct for parallax offsets resulting from the height of the robots. This paper demonstrates a novel method of estimating the camera position purely from the image of the robot soccer field. The principle is to back project the parallax resulting from the walls of the field. The lateral position of the camera may ... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Cost-Effective HPC Clustering for Computer Vision Applications

    Publication Year: 2008, Page(s):97 - 102
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (515 KB) | HTML iconHTML

    We will present a cost-effective and flexible realization of high performance computing (HPC) clustering and its potential in solving computationally intensive problems in computer vision. The featured software foundation to support the parallel programming is the GNU parallel Knoppix package with message passing interface (MPI) based Octave, Python and C interface capabilities. The implementation... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Comparing Cornerness Measures for Interest Point Detection

    Publication Year: 2008, Page(s):105 - 110
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (643 KB) | HTML iconHTML

    Interest point detection is used in many computer vision applications that require fast and efficient feature matching. For tasks such as robot localisation and navigation, the use of interest points for matching is preferred over edges or other, larger, features. Recently, finite-element based methods have been used to develop gradient operators for edge and interest point detection. We extend th... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Multi-scale Feature Extraction in a Sub-pixel Virtual Hexagonal Environment

    Publication Year: 2008, Page(s):111 - 116
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (794 KB) | HTML iconHTML

    The area of hexagonal image representation has been explored for several decades based on the hexagonal structure's many advantages over conventional rectangular image grids. Due to existing image capture and display hardware being produced for rectangular structures only, most research to date has focused on developing an efficient software approach to mimic hexagonal grid structures. Only recent... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Combining Gradient Operators and Dihedral Angle for 2D and 3D Feature Extraction

    Publication Year: 2008, Page(s):117 - 122
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (616 KB) | HTML iconHTML

    In range images, features can be determined by, for example, looking for significant changes in gradient magnitude output, or computing normal changes. We present an approach to determining features in a range image by computing the dihedral angle between two surfaces; the partial derivatives required for this computation are provided via the use of the gradient operators presented in (Suganthan e... View full abstract»

    Full text access may be available. Click article title to sign in or learn about subscription options.
  • Adaptive Segmentation for Vessels Dynamic Characterization Using High Resolution MR Sequences

    Publication Year: 2008, Page(s):125 - 129
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (286 KB) | HTML iconHTML

    Magnetic resonance angiography is a continuously developed technique for vessel and flow mechanical characterization studies. Synchronized high temporal resolution sequences enable obtaining more precise results. We propose an adaptive corrective thresholding (ACT) segmentation principle. The method provides the new feature that it can automatically detect vessel region even while the presence of ... View full abstract»

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