| The LNCS series reports state-of-the-art results in computer science research,development,and education,at a high level and in both printed and electronic form.Enjoying tight cooperation with the R&D community,with numerous individuals,as well as with prestigious organizations and societies,LNCS has grown into the most comprehensive computer science resarch forum available. The scope of LNCS,including its subseries LNAI,spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields.The type of material publised traditionally includes. -proceedings(published in time for the respective conference) -post-proceedings(consisting of thoroughly revised final full papers) -research monographs(which may be basde on outstanding PhD work,research projects,technical reports,etc.) |
| Active and Real-Time Vision Tracking with the EM Contour Algorithm M2Tracker: A Multi-view Approach to Segmenting and Tracking People in a Cluttered Scene Using Region-Based Stereo Image Features Analytical Image Models and Their Applications Time-Recursive Velocity-Adapted Spatio-Temporal Scale-Space Filters Combining Appearance and Topology for Wide Baseline Matching Guided Sampling and Consensus for Motion Estimation Image Features / Visual Motion Fast Anisotropic Gauss Filtering Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization An Affine Invariant Interest Point Detector Understanding and Modeling the Evolution of Critical Points under Gaussian Blurring Image Processing Done Right Multimodal Data Representations with Parameterized Local Structures. The Relevance of Non-genetic Events in Scale Space Models The Localized Consistency Principle for Image Matching under Non-uniform Illumination Variation and Affine Distortion Resolution Selection Using Generalized Entropies of Multiresolution Histograms Robust Computer Vision through Kernel Density Estimation Constrained Flows of Matrix-Valued Functions: Application to Diffusion Tensor Regularization A Hierarchical Framework for Spectral Correspondence Phase-Based Local Features What Is the Role of Independence for Visual Recognition? A Probabilistic Multi-scale Model for Contour Completion Based on Image Statistics Toward a Full Probability Model of Edges in Natural Images Fast Difference Schemes for Edge Enhancing Beltrami Flow A Fast Radial Symmetry Transform for Detecting Points of Interest Image Features Based on a New Approach to 2D Rotation Invariant Quadrature Filters Representing Edge Models via Local Principal Component Analysis. Regularized Shock Filters and Complex Diffusion …… Visual Motion Author Index |
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