Revision 5f23fb0b6e1d50d996ac54daaa7e637e5d8decaf authored by Software Heritage on 05 May 2020, 00:00:00 UTC, committed by Software Heritage on 27 June 2020, 00:00:00 UTC
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lib_description.h
/*
IPOL SIFT
Copyright (C) 2014, Ives Rey-Otero, CMLA ENS Cachan
<ives.rey-otero@cmla.ens-cachan.fr>
Version 20140911 (September 11th, 2014)
This C ANSI source code is related to the IPOL publication
[1] "Anatomy of the SIFT Method."
I. Rey Otero and M. Delbracio
Image Processing Online, 2013.
http://www.ipol.im/pub/algo/rd_anatomy_sift/
An IPOL demo is available at
http://www.ipol.im/pub/demo/rd_anatomy_sift/
== Patent Warning and License =================================================
The SIFT method is patented
[3] "Method and apparatus for identifying scale invariant features
in an image."
David G. Lowe
Patent number: 6711293
Filing date: Mar 6, 2000
Issue date: Mar 23, 2004
Application number: 09/519,89
These source codes are made available for the exclusive aim of serving as
scientific tool to verify the soundness and completeness of the algorithm
description. Compilation, execution and redistribution of this file may
violate patents rights in certain countries. The situation being different
for every country and changing over time, it is your responsibility to
determine which patent rights restrictions apply to you before you compile,
use, modify, or redistribute this file. A patent lawyer is qualified to make
this determination. If and only if they don't conflict with any patent terms,
you can benefit from the following license terms attached to this file.
This program is free software: you can use, modify and/or
redistribute it under the terms of the simplified BSD
License. You should have received a copy of this license along
this program. If not, see
<http://www.opensource.org/licenses/bsd-license.html>.
*/
/**
* @file sift_description.c
* @brief Computation the SIFT feature vector
*
* @li Attribution of a principal orientation
* @li Computation of the SIFT feature vector
*
* @author Ives Rey-Otero <ives.rey-otero@cmla.ens-cachan.fr>
*/
#ifndef _LIB_DESCRIPTION_H_
#define _LIB_DESCRIPTION_H_
void sift_accumulate_orientation_histogram(float x_key,
float y_key,
float sigma_key,
const float* gradX,
const float* gradY,
int w,
int h,
int nbins,
float lambda_ori,
float* hist);
// Apply smoothing and extract local extrema
int sift_extract_principal_orientations(float* hist,
int nbins,
float threshold,
float* principal_orientations);
// Apply smoothing and extract the global extremum
float sift_extract_one_orientation(float* hist, int nbins);
// Accumulate the descriptor's histograms
void sift_extract_feature_vector(float x_key,
float y_key,
float sigma_key,
float theta_key,
const float* gradX,
const float* gradY,
int w,
int h,
int Nhist,
int Nbins,
float lambda_descr,
float* descr);
void sift_threshold_and_quantize_feature_vector(float* descr, int n, float threshold);
#endif // _LIB_DESCRIPTION_H_
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