All concepts have been implemented and experimentally verified in an object-oriented prototype. The objective of this study is the conception and implementation of an experimental parallel distributed processing system architecture for the interactive simulation and visualization of molecular dynamics models. Such models are used to describe the solution of the classical equations of motion of a set of atoms, molecules, or particles. The automatic identification of objects, persons, facial expressions and gestures is a challenging research topic. The objective of this project is to conceive and develop the necessary theories, algorithms and implementations for human face and gesture recognition.
Several approaches are currently under investigation.
They include techniques based on motion analysis, matched filters, and 3D model-based pro cedures. As part of the physically based recognition approach, new concepts and algorithms for shape from multiple views and multiple cues are being developed. In recent years, arithmetic coding has gained considerable attention and is nowadays generally accepted as a standard for lossless compression. The majority of image data compression procedures view the data stream as a one-dimensional finite context Markov chain. In order to model digital images, their two-dimensional structure should be reflected in the data structure as well as in the order of processing.