[x] Results to be reproduced: (indicates reference to figure/tab): Fig 4, Fig 5, Fig 6
[x] Reproduction main step instructions:
First row: original data
Data: image1.png, image2.png, image3.png, image4.png
Second row:
Code: ICPR_2016_XuebinQin_Demo.zip
Run: go to unzipped ICPR_2016_XuebinQin_Demo.zip and run SURFFeaturesDetection.m
Third row: ICPR_2016_XuebinQin_Demo.zip.
Code: go to unzipped ICPR_2016_XuebinQin_Demo.zip and run DEMO.m. The result shown in
figure(2) is that, just using different drawn marker compared with the figure in our paper.
Fourth row:
Code: PAMI09Win7Matlab201264bit.izp. It was downloaded from http://vision.cse.psu.edu/data/data.shtml (Lattice Detection Code for MATLAB) (tested on Win7 64bit and Matlab 2014a )
Run: to run it just read the readme file then run DEMO1.m and I have already put images in the root file.
Notes: The algorithm will generate different results for each time you run because it depends on an RANSAC like sample idea.
Reviewer feedback
[x] Tested platform: MacOS 10.12.1 / Ubuntu 17.10
[x] Reviewer comment:
The result were correctly reproduced from the information given by the authors. Here some comments:
Fig 4:
[x] (a) not exactly the same result but comparable due to resolution of original images.
[x] (b) idem
Fig 5:
[x] (a) small difference perhaps due to improved implementation compared to the source code and demo.
[x] (b) idem
Fig 6:
[x] first row: source input
[x] second row: detection of SURF.
[x] third row: feature detection results of the proposed method.
[x] fourth row: contains experiments ref [16] PAMI 2009. The
reproduction gives not exactly the same results (due to some
random initialisation used from original author
implementation).
General info
[x] Reproduction main step instructions: First row: original data Data: image1.png, image2.png, image3.png, image4.png Second row: Code: ICPR_2016_XuebinQin_Demo.zip Run: go to unzipped ICPR_2016_XuebinQin_Demo.zip and run SURFFeaturesDetection.m Third row: ICPR_2016_XuebinQin_Demo.zip. Code: go to unzipped ICPR_2016_XuebinQin_Demo.zip and run DEMO.m. The result shown in
figure(2) is that, just using different drawn marker compared with the figure in our paper.
Fourth row: Code: PAMI09Win7Matlab201264bit.izp. It was downloaded from http://vision.cse.psu.edu/data/data.shtml (Lattice Detection Code for MATLAB) (tested on Win7 64bit and Matlab 2014a ) Run: to run it just read the readme file then run DEMO1.m and I have already put images in the root file. Notes: The algorithm will generate different results for each time you run because it depends on an RANSAC like sample idea.
Reviewer feedback
[x] Reviewer comment: The result were correctly reproduced from the information given by the authors. Here some comments:
Fig 4:
Fig 5:
Fig 6:
Details Results