ANN: Approximate Nearest Neighbors
Version: 1.1.1
Release date: Aug 4, 2006
----------------------------------------------------------------------------
Copyright (c) 1997-2005 University of Maryland and Sunil Arya and David
Mount. All Rights Reserved. See Copyright.txt and License.txt for
complete information on terms and conditions of use and distribution of
this software.
----------------------------------------------------------------------------
Authors
-------
David Mount
Dept of Computer Science
University of Maryland,
College Park, MD 20742 USA
mount@cs.umd.edu
http://www.cs.umd.edu/~mount/
Sunil Arya
Dept of Computer Science
Hong University of Science and Technology
Clearwater Bay, HONG KONG
arya@cs.ust.hk
http://www.cs.ust.hk/faculty/arya/
Introduction
------------
ANN is a library written in the C++ programming language to support both
exact and approximate nearest neighbor searching in spaces of various
dimensions. It was implemented by David M. Mount of the University of
Maryland, and Sunil Arya of the Hong Kong University of Science and
Technology. ANN (pronounced like the name ``Ann'') stands for
Approximate Nearest Neighbors. ANN is also a testbed containing
programs and procedures for generating data sets, collecting and
analyzing statistics on the performance of nearest neighbor algorithms
and data structures, and visualizing the geometric structure of these
data structures.
The ANN source code and documentation is available from the following
web page:
http://www.cs.umd.edu/~mount/ANN
For more information on ANN and its use, see the ``ANN Programming
Manual,'' which is provided with the software distribution.
----------------------------------------------------------------------------
History
Version 0.1 03/04/98
Preliminary release
Version 0.2 06/24/98
Changes for SGI compiler.
Version 1.0 04/01/05
Fixed a number of small bugs
Added dump/load operations
Added annClose to eliminate minor memory leak
Improved compatibility with current C++ compilers
Added compilation for Microsoft Visual Studio.NET
Added compilation for Linux 2.x
Version 1.1 05/03/05
Added make target for Mac OS X
Added fixed-radius range searching and counting
Added instructions on compiling/using ANN on Windows platforms
Fixed minor output bug in ann2fig
Version 1.1.1 08/04/06
Added "planted" distribution
Updated old source comments for GNU LPL.
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Progressive Mode-Seeking on Graphs for Sparse Feature Matching 代码 (187个子文件)
display_inputimages.asv 6KB
harhessift.basis 165KB
exfeat.bat 159B
descmatch_mcho_mex.c 16KB
normalize_patchCMEX2.c 6KB
mexutils.c 2KB
CHANGES 1KB
ann_test.cpp 63KB
rand.cpp 23KB
ann2fig.cpp 21KB
kd_split.cpp 17KB
kd_dump.cpp 17KB
bd_tree.cpp 16KB
kd_tree.cpp 15KB
kd_util.cpp 15KB
kd_pr_search.cpp 9KB
kd_search.cpp 9KB
ann_mex.cpp 9KB
kd_fix_rad_search.cpp 7KB
BruteSearchMex.cpp 7KB
ann_sample.cpp 7KB
BruteSearchTranspose.cpp 7KB
ANN.cpp 6KB
kdtree_build.cpp 6KB
kdtree_nearest_neighbor.cpp 5KB
kdtree_k_nearest_neighbors.cpp 5KB
kdtree_ball_query.cpp 5KB
perf.cpp 5KB
affineTransferDistanceMEX.cpp 5KB
kdtree_range_query.cpp 4KB
brute.cpp 4KB
bd_pr_search.cpp 3KB
bd_fix_rad_search.cpp 3KB
bd_search.cpp 3KB
kdtree_delete.cpp 2KB
cygwin1.dll 1.24MB
cygpng12.dll 173KB
cygz.dll 60KB
extract_features_32bit.exe 1.99MB
mser.exe 163KB
siftWin32.exe 92KB
ANN.h 35KB
KDTree.h 23KB
MyHeaps.h 13KB
ANNperf.h 8KB
kd_tree.h 8KB
ANNx.h 6KB
rand.h 5KB
kd_util.h 5KB
pr_queue.h 5KB
pr_queue_k.h 4KB
bd_tree.h 4KB
kd_split.h 4KB
mexOliUtil.h 2KB
kd_search.h 2KB
kd_pr_search.h 2KB
kd_fix_rad_search.h 2KB
affineTransferDistanceMEX.H 1KB
test2.in 387B
test1.in 270B
nearestneighbour.m 14KB
make_initialmatches_mcho.m 10KB
agglomerate_corres_v12.m 8KB
display_result_matching_vis1.m 7KB
setopts.m 6KB
loadfeatures_v2.m 6KB
validateCluster.m 5KB
compute_norm_trans_image.m 4KB
demo_test.m 4KB
build_initialmatches.m 4KB
kdtree_k_nearest_neighbors_demo.m 3KB
wrapper_ACC.m 3KB
extract_localfeatures_mcho.m 3KB
make_overlapMatrix2.m 3KB
initialmatch_main1.m 3KB
initialmatch_main_mask.m 3KB
areaintersection.m 3KB
imshowresult.m 2KB
normalise2dpts.m 2KB
TestBruteSearch.m 2KB
gensiftdesc.m 2KB
initialmatch_main.m 2KB
showInitialMatches3.m 2KB
dominant_orientation.m 2KB
kdtree_ball_query.m 1KB
kdtree_k_nearest_neighbors.m 1KB
fulltest.m 1KB
wrapper_UNN.m 1KB
UNNM.m 1KB
drawOrientation3.m 1021B
kdtree_nearest_neighbor.m 996B
appendimages.m 974B
kdtree_range_query.m 974B
kdtree_ball_query_demo.m 947B
drawEllipse3.m 916B
kdtree_build.m 850B
computeAffineTransferDistanceMEX.m 759B
group12.m 713B
kdtree_range_query_demo.m 653B
kdtree_nearest_neighbor_demo.m 650B
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