| he 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 research forum available. The scope of LNCS, including its subseries LNAI and LNBI, spans the whole range of computer science and information technology including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes -proceedings (published in time for the respective conference) -post-proceedings (consisting of thoroughly revised final full papers) -research monographs (which may be based on outstanding PhD work,research projects, technical reports, etc.) |
| Learning and Recognition A Constrained Semi-supervised Learning Approach to Data Association Learning Mixtures of Weighted Tree-Unions by Minimizing Description Length Decision Theoretic Modeling of Human Facial Displays Kernel Feature Selection with Side Data Using a Spectral Approach Tracking II Tracking Articulated Motion Using a Mixture of Autoregressive Models Novel Skeletal Representation for Articulated Creatures An Accuracy Certified Augmented Reality System for Therapy Guidance Posters III 3D Human Body Tracking Using Deterministic Temporal Motion Models Robust Fitting by Adaptive-Scale Residual Consensus Causal Camera Motion Estimation by Condensation and Robust Statistics Distance Measures An Adaptive Window Approach for Image Smoothing and Structures Preserving Extraction of Semantic Dynamic Content from Videos with Probabilistic Motion Models Are Iterations and Curvature Useful for Tensor Voting? A Feature-Based Approach for Determining Dense Long Range Correspondences Combining Geometric-and View-Based Approaches for Articulated Pose Estimation Shape Matching and Recognition-Informative Features Generalized Histogram: Empirical Features for Image Matching Using Generative Models and,Optimization of Low Dimensional Recognizing Objects in Range Data Using Regional Point Descriptors Shape Reconstruction from 3D and 2D Data Using PDE-Based Deformable Surfaces Structure and Motion Problems for Multiple Rigidly Moving Cameras Detection and Tracking Scheme for Line Scratch Removal in an Image Sequence Color Constancy Using Local Color Shifts Image Anisotropic Diffusion Based on Gradient Vector Flow Fields …… Information-Based Image Processing Author Index |
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