Download:

GitLab repository: https://gitlab.com/rsan/line/tree/36df922f523219afd15f8a541e59980992b380f9

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Contents: 

- __**Executables:**__ Command-line executables for line detection and matching algorithms. 
Reference: 
     Two-view line matching algorithm based on context and appearance in low-textured images. Pattern Recognition Volume 48, Issue 7, July 2015, Pages 2164–2184
http://www.sciencedirect.com/science/article/pii/S0031320314004889

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**detect.exe** :  Performs detection and plotting of detected lines.

Input: jpg/png image file.

Output: xxx_RESULT_detect.txt text file with the list of detected lines; each line is described by both endpoints, length and orientation. Image with plotted detected lines.

Example: 
   detect 04-1.jpg

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**match.exe** : Performs detection, matching and plotting of matched lines

Input: Two jpg/png image file

Output: Text file with the list of matched lines; each line is described by both endpoints on the original image, and its length and orientation. Images with plotted matched lines, labeded with matching reference tag.

Example:
   match 04-1.jpg 04-2.jpg

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- __**Images database:**__ Classified image database. Please check the references: 

**matching_industriales, detection_averageGray, detection_real_lum, detection_real_noise, detection_synthetic_lum, detection_synthetic_noise:** 
Images selected for the paper. Reference:
   Two-view line matching algorithm based on context and appearance in low-textured images. Pattern Recognition Volume 48, Issue 7, July 2015, Pages 2164–2184
http://www.sciencedirect.com/science/article/pii/S0031320314004889

**matching_publicas :** Images from public databases . References:

http://www.vision.ee.ethz.ch/ZuBuD

http://www.robots.ox.ac.uk/

http://lear.inrialpes.fr/people/mikolajczyk/Database/index.html