Download:
GitLab repository: https://gitlab.com/rsan/line/tree/36df922f523219afd15f8a541e59980992b380f9
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
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
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
- 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://lear.inrialpes.fr/people/mikolajczyk/Database/index.html