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| author | leochanj105 <leochanj@live.unc.edu> | 2020-10-19 23:09:30 -0400 |
|---|---|---|
| committer | leochanj105 <leochanj@live.unc.edu> | 2020-10-20 02:40:39 -0400 |
| commit | f618466c25d43f3bae9e40920273bf77de1e1149 (patch) | |
| tree | 460e739e2165b8a9c37a9c7ab1b60f5874903543 /SD-VBS/benchmarks/sift/src/matlab/plotsiftdescriptor.m | |
| parent | 47ced4e96bbb782b9e780e8f2cfc637b2c21ff44 (diff) | |
initial sd-vbs
initial sd-vbs
add sd-vbs
sd-vbs
Diffstat (limited to 'SD-VBS/benchmarks/sift/src/matlab/plotsiftdescriptor.m')
| -rw-r--r-- | SD-VBS/benchmarks/sift/src/matlab/plotsiftdescriptor.m | 169 |
1 files changed, 169 insertions, 0 deletions
diff --git a/SD-VBS/benchmarks/sift/src/matlab/plotsiftdescriptor.m b/SD-VBS/benchmarks/sift/src/matlab/plotsiftdescriptor.m new file mode 100644 index 0000000..2f4af50 --- /dev/null +++ b/SD-VBS/benchmarks/sift/src/matlab/plotsiftdescriptor.m | |||
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| 1 | function h=plotsiftdescriptor(d,f) | ||
| 2 | % PLOTSIFTDESCRIPTOR Plot SIFT descriptor | ||
| 3 | % PLOTSIFTDESCRIPTOR(D) plots the SIFT descriptors D, stored as | ||
| 4 | % columns of the matrix D. D has the same format used by SIFT(). | ||
| 5 | % | ||
| 6 | % PLOTSIFTDESCRIPTOR(D,F) plots the SIFT descriptors warped to the | ||
| 7 | % SIFT frames F, specified as columns of the matrix F. F has | ||
| 8 | % the same format used by SIFT(). | ||
| 9 | % | ||
| 10 | % H=PLOTSIFTDESCRIPTOR(...) returns the handle H to the line drawing | ||
| 11 | % representing the descriptors. | ||
| 12 | % | ||
| 13 | % REMARK. Currently the function supports only descriptors with 4x4 | ||
| 14 | % spatial bins and 8 orientation bins (Lowe's default.) | ||
| 15 | % | ||
| 16 | % See also PLOTSIFTFRAME(), PLOTMATCHES(), PLOTSS(). | ||
| 17 | |||
| 18 | % AUTORIGHTS | ||
| 19 | % Copyright (c) 2006 The Regents of the University of California. | ||
| 20 | % All Rights Reserved. | ||
| 21 | % | ||
| 22 | % Created by Andrea Vedaldi | ||
| 23 | % UCLA Vision Lab - Department of Computer Science | ||
| 24 | % | ||
| 25 | % Permission to use, copy, modify, and distribute this software and its | ||
| 26 | % documentation for educational, research and non-profit purposes, | ||
| 27 | % without fee, and without a written agreement is hereby granted, | ||
| 28 | % provided that the above copyright notice, this paragraph and the | ||
| 29 | % following three paragraphs appear in all copies. | ||
| 30 | % | ||
| 31 | % This software program and documentation are copyrighted by The Regents | ||
| 32 | % of the University of California. The software program and | ||
| 33 | % documentation are supplied "as is", without any accompanying services | ||
| 34 | % from The Regents. The Regents does not warrant that the operation of | ||
| 35 | % the program will be uninterrupted or error-free. The end-user | ||
| 36 | % understands that the program was developed for research purposes and | ||
| 37 | % is advised not to rely exclusively on the program for any reason. | ||
| 38 | % | ||
| 39 | % This software embodies a method for which the following patent has | ||
| 40 | % been issued: "Method and apparatus for identifying scale invariant | ||
| 41 | % features in an image and use of same for locating an object in an | ||
| 42 | % image," David G. Lowe, US Patent 6,711,293 (March 23, | ||
| 43 | % 2004). Provisional application filed March 8, 1999. Asignee: The | ||
| 44 | % University of British Columbia. | ||
| 45 | % | ||
| 46 | % IN NO EVENT SHALL THE UNIVERSITY OF CALIFORNIA BE LIABLE TO ANY PARTY | ||
| 47 | % FOR DIRECT, INDIRECT, SPECIAL, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, | ||
| 48 | % INCLUDING LOST PROFITS, ARISING OUT OF THE USE OF THIS SOFTWARE AND | ||
| 49 | % ITS DOCUMENTATION, EVEN IF THE UNIVERSITY OF CALIFORNIA HAS BEEN | ||
| 50 | % ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. THE UNIVERSITY OF | ||
| 51 | % CALIFORNIA SPECIFICALLY DISCLAIMS ANY WARRANTIES, INCLUDING, BUT NOT | ||
| 52 | % LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR | ||
| 53 | % A PARTICULAR PURPOSE. THE SOFTWARE PROVIDED HEREUNDER IS ON AN "AS IS" | ||
| 54 | % BASIS, AND THE UNIVERSITY OF CALIFORNIA HAS NO OBLIGATIONS TO PROVIDE | ||
| 55 | % MAINTENANCE, SUPPORT, UPDATES, ENHANCEMENTS, OR MODIFICATIONS. | ||
| 56 | |||
| 57 | lowe_compatible = 1 ; | ||
| 58 | |||
| 59 | % -------------------------------------------------------------------- | ||
| 60 | % Check the arguments | ||
| 61 | % -------------------------------------------------------------------- | ||
| 62 | |||
| 63 | if(size(d,1) ~= 128) | ||
| 64 | error('D should be a 128xK matrix (only standard descriptors accepted)') ; | ||
| 65 | end | ||
| 66 | |||
| 67 | if nargin > 1 | ||
| 68 | if(size(f,1) ~= 4) | ||
| 69 | error('F should be a 4xK matrix'); | ||
| 70 | end | ||
| 71 | |||
| 72 | if(size(f,2) ~= size(f,2)) | ||
| 73 | error('D and F must have the same number of columns') ; | ||
| 74 | end | ||
| 75 | end | ||
| 76 | |||
| 77 | % Descriptors are often non-double numeric arrays | ||
| 78 | d = double(d) ; | ||
| 79 | K = size(d,2) ; | ||
| 80 | if nargin < 2 | ||
| 81 | f = repmat([0;0;1;0],1,K) ; | ||
| 82 | end | ||
| 83 | |||
| 84 | maginf = 3.0 ; | ||
| 85 | NBP=4 ; | ||
| 86 | NBO=8 ; | ||
| 87 | |||
| 88 | % -------------------------------------------------------------------- | ||
| 89 | % Do the job | ||
| 90 | % -------------------------------------------------------------------- | ||
| 91 | |||
| 92 | xall=[] ; | ||
| 93 | yall=[] ; | ||
| 94 | |||
| 95 | for k=1:K | ||
| 96 | SBP = maginf * f(3,k) ; | ||
| 97 | th=f(4,k) ; | ||
| 98 | c=cos(th) ; | ||
| 99 | s=sin(th) ; | ||
| 100 | |||
| 101 | [x,y] = render_descr(d(:,k)) ; | ||
| 102 | xall = [xall SBP*(c*x-s*y)+f(1,k)] ; | ||
| 103 | yall = [yall SBP*(s*x+c*y)+f(2,k)] ; | ||
| 104 | end | ||
| 105 | |||
| 106 | h=line(xall,yall) ; | ||
| 107 | |||
| 108 | % -------------------------------------------------------------------- | ||
| 109 | % Helper functions | ||
| 110 | % -------------------------------------------------------------------- | ||
| 111 | |||
| 112 | % Renders a single descriptor | ||
| 113 | function [x,y] = render_descr( d ) | ||
| 114 | |||
| 115 | lowe_compatible=1; | ||
| 116 | NBP=4 ; | ||
| 117 | NBO=8 ; | ||
| 118 | |||
| 119 | [x,y] = meshgrid(-NBP/2:NBP/2,-NBP/2:NBP/2) ; | ||
| 120 | |||
| 121 | % Rescale d so that the biggest peak fits inside the bin diagram | ||
| 122 | d = 0.4 * d / max(d(:)) ; | ||
| 123 | |||
| 124 | % We have NBP*NBP bins to plot. Here are the centers: | ||
| 125 | xc = x(1:end-1,1:end-1) + 0.5 ; | ||
| 126 | yc = y(1:end-1,1:end-1) + 0.5 ; | ||
| 127 | |||
| 128 | % We swap the order of the bin diagrams because they are stored row | ||
| 129 | % major into the descriptor (Lowe's convention that we follow.) | ||
| 130 | xc = xc' ; | ||
| 131 | yc = yc' ; | ||
| 132 | |||
| 133 | % Each bin contains a star with eight tips | ||
| 134 | xc = repmat(xc(:)',NBO,1) ; | ||
| 135 | yc = repmat(yc(:)',NBO,1) ; | ||
| 136 | |||
| 137 | % Do the stars | ||
| 138 | th=linspace(0,2*pi,NBO+1) ; | ||
| 139 | th=th(1:end-1) ; | ||
| 140 | if lowe_compatible | ||
| 141 | xd = repmat(cos(-th), 1, NBP*NBP ) ; | ||
| 142 | yd = repmat(sin(-th), 1, NBP*NBP ) ; | ||
| 143 | else | ||
| 144 | xd = repmat(cos(th), 1, NBP*NBP ) ; | ||
| 145 | yd = repmat(sin(th), 1, NBP*NBP ) ; | ||
| 146 | end | ||
| 147 | xd = xd .* d(:)' ; | ||
| 148 | yd = yd .* d(:)' ; | ||
| 149 | |||
| 150 | % Re-arrange in sequential order the lines to draw | ||
| 151 | nans = NaN * ones(1,NBP^2*NBO) ; | ||
| 152 | x1 = xc(:)' ; | ||
| 153 | y1 = yc(:)' ; | ||
| 154 | x2 = x1 + xd ; | ||
| 155 | y2 = y1 + yd ; | ||
| 156 | xstars = [x1;x2;nans] ; | ||
| 157 | ystars = [y1;y2;nans] ; | ||
| 158 | |||
| 159 | % Horizontal lines of the grid | ||
| 160 | nans = NaN * ones(1,NBP+1); | ||
| 161 | xh = [x(:,1)' ; x(:,end)' ; nans] ; | ||
| 162 | yh = [y(:,1)' ; y(:,end)' ; nans] ; | ||
| 163 | |||
| 164 | % Verical lines of the grid | ||
| 165 | xv = [x(1,:) ; x(end,:) ; nans] ; | ||
| 166 | yv = [y(1,:) ; y(end,:) ; nans] ; | ||
| 167 | |||
| 168 | x=[xstars(:)' xh(:)' xv(:)'] ; | ||
| 169 | y=[ystars(:)' yh(:)' yv(:)'] ; | ||
