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ICCV
2007
IEEE
16 years 2 months ago
High-Dimensional Feature Matching: Employing the Concept of Meaningful Nearest Neighbors
Matching of high-dimensional features using nearest neighbors search is an important part of image matching methods which are based on local invariant features. In this work we hi...
Dusan Omercevic, Ondrej Drbohlav, Ales Leonardis
CVPR
2010
IEEE
14 years 11 months ago
Transform Coding for Fast Approximate Nearest Neighbor Search in High Dimensions
We examine the problem of large scale nearest neighbor search in high dimensional spaces and propose a new approach based on the close relationship between nearest neighbor search...
Jonathan Brandt
169
Voted
PODS
1997
ACM
182views Database» more  PODS 1997»
15 years 4 months ago
A Cost Model For Nearest Neighbor Search in High-Dimensional Data Space
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
Stefan Berchtold, Christian Böhm, Daniel A. K...
3DIM
2003
IEEE
15 years 5 months ago
Effective Nearest Neighbor Search for Aligning and Merging Range Images
This paper describes a novel method which extends the search algorithm of a k-d tree for aligning and merging range images. If the nearest neighbor point is far from a query, many...
Ryusuke Sagawa, Tomohito Masuda, Katsushi Ikeuchi
140
Voted
ALENEX
2001
215views Algorithms» more  ALENEX 2001»
15 years 1 months ago
An Empirical Study of a New Approach to Nearest Neighbor Searching
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Songrit Maneewongvatana, David M. Mount