We introduce a spatial index to support the fast retrieval of large neighborhoods of points on a polygonal mesh. Our spatial index can be computed efficiently off-line, introducing a negligible overhead over a standard indexed data structure. In retrieving neighborhoods of points on-line, we achieve a speed-up of about one order of magnitude with respect to standard topological traversal, while obtaining much more accurate results than straight 3D range search. We provide quantitative comparisons of results obtained with our method with respect to known techniques
Similarity search in multimedia databases requires an efficient support of nearest-neighbor search o...
none3siVery Large-Scale Neighborhood Search is not an algorithm or a class of algorithms, but rather...
Modern scientific applications consume massive volumes of data produced by computer simulations. Suc...
In this paper, we propose an efficient method for the problem of Nearest Neighbor Search (NNS) on 3D...
We consider the problem of indexing a set of objects moving in d-dimensional space along linear traj...
Abstract. We consider the problem of indexing a set of objects mov-ing in d-dimensional space along ...
A spatial database is a database that is optimized to store and query data that represents objects d...
AbstractSupporting aggregate range queries on remote spatial databases suffers from 1) huge and/or l...
Spatial region queries are more and more widely used in web-based applications. Mechanisms to provid...
Conventional spatial queries, such as range search and nearest neighbour retrieval, involve only con...
A very promising idea for fast searching in traditional and multimedia databases is to map objects i...
In high dimensional datasets, exact indexes are ineffective for proximity queries, and a sequential ...
Spatial query which focus only on the geometrics properties of an object like points, rectangle etc....
Similarity search in multimedia databases requires an effi-cient support of nearest-neighbor search ...
A very promising idea for fast searching in traditional and multimedia databases is to map objects i...
Similarity search in multimedia databases requires an efficient support of nearest-neighbor search o...
none3siVery Large-Scale Neighborhood Search is not an algorithm or a class of algorithms, but rather...
Modern scientific applications consume massive volumes of data produced by computer simulations. Suc...
In this paper, we propose an efficient method for the problem of Nearest Neighbor Search (NNS) on 3D...
We consider the problem of indexing a set of objects moving in d-dimensional space along linear traj...
Abstract. We consider the problem of indexing a set of objects mov-ing in d-dimensional space along ...
A spatial database is a database that is optimized to store and query data that represents objects d...
AbstractSupporting aggregate range queries on remote spatial databases suffers from 1) huge and/or l...
Spatial region queries are more and more widely used in web-based applications. Mechanisms to provid...
Conventional spatial queries, such as range search and nearest neighbour retrieval, involve only con...
A very promising idea for fast searching in traditional and multimedia databases is to map objects i...
In high dimensional datasets, exact indexes are ineffective for proximity queries, and a sequential ...
Spatial query which focus only on the geometrics properties of an object like points, rectangle etc....
Similarity search in multimedia databases requires an effi-cient support of nearest-neighbor search ...
A very promising idea for fast searching in traditional and multimedia databases is to map objects i...
Similarity search in multimedia databases requires an efficient support of nearest-neighbor search o...
none3siVery Large-Scale Neighborhood Search is not an algorithm or a class of algorithms, but rather...
Modern scientific applications consume massive volumes of data produced by computer simulations. Suc...