Learn More
We present tools for 3D object retrieval in which a model, a polygonal mesh, serves as a query and similar objects are retrieved from a collection of 3D objects. Algorithms proceed first by a normalization step (pose estimation) in which models are transformed into a canonical coordinate frame. Second, feature vectors are extracted and compared with those(More)
We consider 3D object retrieval in which a polygonal mesh serves as a query and similar objects are retrieved from a collection of 3D objects. Algorithms proceed first by a normalization step in which models are transformed into canonical coordinates. Second, feature vectors are extracted and compared with those derived from normalized models in the search(More)
In order to efficiently archive and transmit large 3D models, lossy and lossless compression methods are needed. We propose a compression scheme for coordinate data of point-based 3D models of surfaces. A point-based model is processed for compression in a pipeline of three subsequent operations, partitioning, parameterization, and coding. First the point(More)
In fractal image compression the encoding step is computationally expensive. A large number of sequential searches through a list of domains (portions of the image) are carried out while trying to find best matches for other image portions called ranges. Our theory developed here shows that this basic procedure of fractal image compression is equivalent to(More)
This paper presents work on two methods for interactive visualization of implicit surfaces: physically-based sampling using particle systems and polygonization followed by physically-based mesh improvement which explicitly makes use of the surface-defining equation. While most previous work applied to bounded manifolds without sin-gularities and without(More)
SUMMARY In data assimilation for numerical weather prediction, measurements of various observation systems are combined with background data to define initial states for the forecasts. Current and future observation systems, in particular satellite instruments, produce large numbers of measurements with high spatial and temporal density. Such datasets(More)
The development of effective content-based multimedia search systems is an important research issue due to the growing amount of digital audio-visual information. In the case of images and video, the growth of digital data has been observed since the introduction of 2D capture devices. A similar development is expected for 3D data as acquisition and(More)
We propose a novel feature vector suitable for searching collections of 3D-objects by shape similarity. In this searchapolygonalmeshmodelservesasaquery.Foreach model feature vectors are automatically extracted and stored. Shape similarity between 3D-objectsinthesearch space is determined by finding and ranking nearest neighbors in the feature vector space.(More)