/line_segment_review

Line Segment Detection and Description Evaluation

Primary LanguageMATLAB

Line Segment Detection and Description Evaluation Code

X. Lin, Y. Zhou, Y. Liu and C. Zhu, "A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges," in IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.

Getting Started

To run the example, follow these steps:

  1. Install mexopencv to obtain the "DescriptorMatcher" and "RotatedRect" function.
  2. Run the "eva_detection_w_demo.m" script to evaluate line segment detection algorithms with ground truth line segments.
  3. Run the "eva_detection_wo_demo.m" script to evaluate line segment detection algorithms without ground truth line segments.
  4. Run the "eva_description_demo.m" script to evaluate line segment description algorithms.

Evaluation Datasets

Dataset # Groups/# Images Evaluation type Ground truth Note
HPatches 116/696 Detection and description N/A Natural images with variations in illumination and viewpoint.
KADID-10k 81/10,206 Detection and description N/A Testing images with artificial distortions of blur, color distortion, compression, noise, brightness change, spatial distortion, and sharpness/contrast.
RDNIM 17/1,739 Detection and description N/A Natural images with variations in light and homographic warp.
DNIM 17/1,722 Detection and description N/A Natural images with variation in light.
Apollo 1,000/2,087 Detection and description N/A Synthetic images with variation in light.
VGGaffine 8/48 Detection and description N/A Natural images with variations in blur, viewpoint, zoom/rotation, light, and JPEG.
Wireframe 462/462 Detection Wireframe Natural images in both indoor and outdoor scenarios.
YorkUrban 102/102 Detection Line segment Natural images in both indoor and outdoor scenarios.

Contact

If you have any questions or need further assistance, feel free to contact us at: roylin_cv@163.com

Citation

@ARTICLE{10530374,
author={Lin, Xinyu and Zhou, Yingjie and Liu, Yipeng and Zhu, Ce},
journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},
title={A Comprehensive Review of Image Line Segment Detection and Description: Taxonomies, Comparisons, and Challenges},
year={2024},
volume={},
number={},
pages={1-20},
doi={10.1109/TPAMI.2024.3400881}}