Computer Vision and Graphics: International Conference, ICCVG 2008, Warsaw, Poland, November 10-12, 2008 Revised Papers / Edition 1by Leonard Bolc, Juliusz Lech Kulikowski, Konrad Wojciechowski
The need for e?cient information processing, especially in computer vision and graphics,is dramatically increasing.Growth in these ?elds stimulated by eme- ing applications has been both in concepts and techniques. New ideas, concepts and techniques are developed, presented, discussed and evaluated, subsequently being expandedorabandoned.Theobjectivesofthe… See more details below
The need for e?cient information processing, especially in computer vision and graphics,is dramatically increasing.Growth in these ?elds stimulated by eme- ing applications has been both in concepts and techniques. New ideas, concepts and techniques are developed, presented, discussed and evaluated, subsequently being expandedorabandoned.Theobjectivesofthe ICCVGconference are:p- sentation of current research topics and discussions leading to the integration of the community engaged in machine vision and computer graphics, carrying out and supporting research in the ?eld and ?nally promotion of new applications. TheICCVGisacontinuationoftheformerInternationalConferenceonC- puter GraphicsandImageProcessingcalledGKPO,heldinPolandeverysecond year in May since 1990. ICCVG 2008 gathered about 100 authors. The ICCVG 2008 proceedings contain 49 papers, each accepted on the basis of reviews by three independent referees. Contributions are organized into the following sessions corresponding to the scope of the conference: image processing, image quality assessment, g- metrical models of objects and scenes, motion analysis, visual navigation and active vision, image and video coding, virtual reality and multimedia app- cations, biomedical applications, practical applications of pattern recognition, computeranimation,visualizationandgraphicaldatapresentation.ICCVG2008 was organized by the Polish–Japanese Institute of Information Technology and Association for Image Processing. The Polish–Japanese Institute of Information Technology was founded in 1994 by the Computer Techniques Development Foundation under the agr- ment of the Polish and Japanese governments and is one of the leading, n- state (private) Polish universities and cooperates with a number of EU, US and Japanese universities.
- Springer Berlin Heidelberg
- Publication date:
- Lecture Notes in Computer Science / Image Processing, Computer Vision, Pattern Recognition, and Graphics Series, #5337
- Edition description:
- Product dimensions:
- 6.10(w) x 9.50(h) x 1.00(d)
Table of ContentsImage Processing.- Architecture of an Integrated Software-Hardware System for Accelerated Image Processing.- A Fast Logical-Morphological Method to Segment Scratch - Type Objects.- Spatio–Temporal Track–Before–Detect Algorithm for Interlaced and Progressive Scan Imaging Sensors.- Road Lane Detection with Elimination of High-Curvature Edges.- Image Quality Assessment.- A Statistical Reduced-Reference Approach to Digital Image Quality Assessment.- Colour Image Quality Assessment Using Structural Similarity Index and Singular Value Decomposition.- Top-Down Approach to Image Similarity Measures.- The Influence of Picture Quality Scale Measure on Choosing the Wavelet Transform during Image Compression.- Image Quality Assessment Using Phase Spectrum Correlation.- Geometrical Models of Object and Scenes.- A New Image Fusion Method for Estimating 3D Surface Depth.- Collecting 3D Content: Examples from Art and Medicine.- 3D Object Reconstruction from Parallel Cross-Sections.- Implementation of Progressive Meshes for Hierarchical Representation of Cultural Artifacts.- Motion Analysis, Visual Navigation and Active Vision.- Multi-Object Tracking Based on Particle Filter and Data Association in Color Image Sequences.- Residual of Resonant SVD as Salient Feature.- Building Pedestrian Contour Hierarchies for Improving Detection in Traffic Scenes.- Potential Field Based Camera Collisions Detection within Translating 3D Objects.- Image and Video Coding.- A Simple Quantitative Model of AVC/H.264 Video Coders.- Approximation of Signals by Predict Wavelet Transform.- Homogeneous Video Transcoding of H.264/AVC Intra Coded Frames.- Lossless and Near-Lossless Image Compression Scheme Utilizing Blending-Prediction-Based Approach.- Virtual Reality and Multimedia Applications.- Marker Less Vision-Based Tracking of Partially Known 3D Scenes for Outdoor Augmented Reality Applications.- Geometric and Optical Flow Based Method for Facial Expression Recognition in Color Image Sequences.- Local Rank Patterns – Novel Features for Rapid Object Detection.- Detection of Dogs in Video Using Statistical Classifiers.- Automatic Video Editing for Multimodal Meetings.- Foreground Segmentation via Segments Tracking.- Multi-layer Background Change Detection Based on Spatiotemporal Texture Projections.- Biomedical Applications.- The Development and Validation of a Method for 4D Motion Reconstruction of a Left Ventricle.- Estimation of Eye Blinking Using Biopotentials Measurements for Computer Animation Applications.- Approximation of Subtle Pathology Signs in Multiscale Domain for Computer-Aided Ischemic Stroke Diagnosis.- Iris Identification Using Geometrical Wavelets.- Numerical Simulation of Endoscopic Images in Photodynamic Diagnosis.- Practical Applications of Pattern Recognition.- Mixtures of Classifiers for Recognizing Standing and Running Pedestrians.- Automatic Classification of Wood Defects Using Support Vector Machines.- Automatic Surveillance and Analysis of Snow and Ice Coverage on Electrical Insulators of Power Transmission Lines.- GP-GPU Implementation of the “Local Rank Differences” Image Feature.- Image Recognition Technique for Unmanned Aerial Vehicles.- The Performance of Two Deformable Shape Models in the Context of the Face Recognition.- A Hierarchical Model for the Recognition of Deformable Objects.- Computer Animation.- Exploiting Quaternion PCA in Virtual Character Motion Analysis.- A Scene Graph-Oriented Particle System for Real-Time 3D Graphics.- Debugging, Object and State Management with OpenGL 1.x and 2.x.- Estimation of State–Space Spatial Component for Cuboid Track–Before–Detect Motion Capture Systems.- Visualization and Graphical Data Presentation.- Automatic Extraction of Graph-Like Structures from Binary Images.- ‘SNN3DViewer’ - 3D Visualization Tool for Spiking Neural Network Analysis.- Using Graph Transformations in Distributed Adaptive Design System.- The Lifting Scheme for Multiresolution Wavelet-Based Transformation of Surface Meshes with Additional Attributes.
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