45 search results - page 1 / 9 » A fast all nearest neighbor algorithm for applications invol... |
CG
2007
Springer
13 years 5 months ago
2007
Springer
Algorithms that use point-cloud models make heavy use of the neighborhoods of the points. These neighborhoods are used to compute the surface normals for each point, mollificatio...
TVCG
2010
13 years 3 months ago
2010
—We present a parallel algorithm for k-nearest neighbor graph construction that uses Morton ordering. Experiments show that our approach has the following advantages over existin...
GIS
2010
ACM
13 years 3 months ago
2010
ACM
With modern LiDAR technology the amount of topographic data, in the form of massive point clouds, has increased dramatically. One of the most fundamental GIS tasks is to construct...
ADBIS
2007
Springer
13 years 9 months ago
2007
Springer
Classification based on k-nearest neighbors (kNN classification) is one of the most widely used classification methods. The number k of nearest neighbors used for achieving a high ...
ECCV
2010
Springer
13 years 10 months ago
2010
Springer
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...