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bsift's Introduction

BSIFT

BSIFT: Boosting SIFT Using Principal Component Analysis. M. Fotouhi, S. E. Mirsadeghi, S. Kasaei, K. Faez

This repository contains implementation of the above paper.

Quick Start

Run BSIFT_demo.m to see result of BSIFT on the leuven dataset.

Dependency

VLFeat -- Vision Lab Features Library https://github.com/vlfeat/vlfeat

Results

TOTAL AND CORRECT MATCHES FOR GRAFFITI SAMPLE

Method PCA Energy Equivalent Dimension I1 -> I2 I1 -> I3 I1 -> I4 I1 -> I5 I1 -> I6
BSIFT 50 % 8 957/1384 305/725 50/380 9/298 0/197
BSIFT 60 % 13 986/1473 367/882 74/475 10/366 3/293
BSIFT 70 % 19 1005/1533 421/995 94/572 12/441 3/350
BSIFT 80 % 30 1010/1554 441/1039 105/609 15/468 3/390
BSIFT 90 % 51 1014/1568 448/1050 111/663 18/491 2/414
SIFT 100 % 128 997/1505 417/1001 98/612 14/501 2/438

bsift's People

Contributors

mirsadeghi avatar

Watchers

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bsift's Issues

Index exceeds matrix dimensions.

Please advise below error on BSIFT_demo.m:

Loading image and Homography transform files
Index exceeds matrix dimensions.
Error in BSIFT_demo (line 152)
dpca(i,:) = (100*Num_PCA{i}(2,:)./Num_PCA{i}(1,:));

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