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Advances in Visual Computing : 5th International Symposium, Isvc 2009, Las Vegas, Nv, Usa, November 30 - December 2, 2009, Proceedings, Part I - Richard Boyle

Advances in Visual Computing

5th International Symposium, Isvc 2009, Las Vegas, Nv, Usa, November 30 - December 2, 2009, Proceedings, Part I

By: Richard Boyle (Editor), Bahram Parvin (Editor), Darko Koracin (Editor)

Paperback | 9 November 2009

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ST: Object Recognition.- Which Shape Representation Is the Best for Real-Time Hand Interface System?.- Multi-target and Multi-camera Object Detection with Monte-Carlo Sampling.- Spatial Configuration of Local Shape Features for Discriminative Object Detection.- A Bag of Features Approach for 3D Shape Retrieval.- Efficient Object Pixel-Level Categorization Using Bag of Features.- Computer Graphics I.- Relighting Forest Ecosystems.- Cartoon Animation Style Rendering of Water.- Deformable Proximity Queries and Their Application in Mobile Manipulation Planning.- Speech-Driven Facial Animation Using a Shared Gaussian Process Latent Variable Model.- Extracting Principal Curvature Ridges from B-Spline Surfaces with Deficient Smoothness.- Adaptive Partitioning of Vertex Shader for Low Power High Performance Geometry Engine.- Visualization I.- Visualized Index-Based Search for Digital Libraries.- Generation of an Importance Map for Visualized Images.- Drawing Motion without Understanding It.- Image Compression Based on Visual Saliency at Individual Scales.- Fast Occlusion Sweeping.- An Empirical Study of Categorical Dataset Visualization Using a Simulated Bee Colony Clustering Algorithm.- ST: Visual Computing for Robotics.- Real-Time Feature Acquisition and Integration for Vision-Based Mobile Robots.- Matching Planar Features for Robot Localization.- Fast and Accurate Structure and Motion Estimation.- Optical Flow Based Detection in Mixed Human Robot Environments.- Using a Virtual World to Design a Simulation Platform for Vision and Robotic Systems.- Feature Extraction and Matching.- Accurate and Efficient Computation of Gabor Features in Real-Time Applications.- Region Graph Spectra as Geometric Global Image Features.- Robust Harris-Laplace Detector by Scale Multiplication.- Spatial-Temporal Junction Extraction and Semantic Interpretation.- Cross-Correlation and Rotation Estimation of Local 3D Vector Field Patches.- Scene Categorization by Introducing Contextual Information to the Visual Words.- Edge-Preserving Laplacian Pyramid.- Medical Imaging.- Automated Segmentation of Brain Tumors in MRI Using Force Data Clustering Algorithm.- Top-Down Segmentation of Histological Images Using a Digital Deformable Model.- Closing Curves with Riemannian Dilation: Application to Segmentation in Automated Cervical Cancer Screening.- Lung Nodule Modeling - A Data-Driven Approach.- Concurrent CT Reconstruction and Visual Analysis Using Hybrid Multi-resolution Raycasting in a Cluster Environment.- Randomized Tree Ensembles for Object Detection in Computational Pathology.- Human Understandable Features for Segmentation of Solid Texture.- Motion.- Exploiting Mutual Camera Visibility in Multi-camera Motion Estimation.- Optical Flow Computation from an Asynchronised Multiresolution Image Sequence.- Conditions for Segmentation of Motion with Affine Fundamental Matrix.- Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features.- Robust Estimation of Camera Motion Using Optical Flow Models.- Maximum Likelihood Estimation Sample Consensus with Validation of Individual Correspondences.- Efficient Random Sampling for Nonrigid Feature Matching.- Virtual Reality I.- RiverLand: An Efficient Procedural Modeling System for Creating Realistic-Looking Terrains.- Real-Time 3D Reconstruction for Occlusion-Aware Interactions in Mixed Reality.- Augmenting Exercise Systems with Virtual Exercise Environment.- Codebook-Based Background Subtraction to Generate Photorealistic Avatars in a Walkthrough Simulator.- JanusVF: Adaptive Fiducial Selection.- Natural Pose Generation from a Reduced Dimension Motion Capture Data Space.- ST: Computational Bioimaging.- Segmentation of Neural Stem/Progenitor Cells Nuclei within 3-D Neurospheres.- Deconvolving Active Contours for Fluorescence Microscopy Images.- Image Registration Guided by Particle Filter.- Curve Enhancement Using Orientation Fields.- Lighting-Aware Segmentation of Microscop...

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