The Geometry and Matching of Lines and Curves Over Multiple Views
International Journal of Computer Vision
Automatic line matching across views
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
A linear method for reconstruction from lines and points
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Multiple-View Structure and Motion From Line Correspondences
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Wide-Baseline Stereo Matching with Line Segments
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Comparison of Affine Region Detectors
International Journal of Computer Vision
A fast line segment based dense stereo algorithm using tree dynamic programming
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
SILT: scale-invariant line transform
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Combining plane estimation with shape detection for holistic scene understanding
ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
In-strip matching and reconstruction of line segments from UHR aerial image triplets
PIA'11 Proceedings of the 2011 ISPRS conference on Photogrammetric image analysis
Sparse representation with geometric configuration constraint for line segment matching
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Short baseline line matching for central imaging systems
Pattern Recognition Letters
Line image signature for scene understanding with a wearable vision system
Proceedings of the 4th International SenseCam & Pervasive Imaging Conference
Journal of Visual Communication and Image Representation
A videogrammetric as-built data collection method for digital fabrication of sheet metal roof panels
Advanced Engineering Informatics
| Hi-index | 0.01 |
Line matching plays an important role in many applications, such as image registration, 3D reconstruction, object recognition and video understanding. However, compared with other features (such as point, region matching), it has made little progress in recent years. In this paper, we investigate the problem of matching line segments automatically only from their neighborhood appearance, without resorting to any other constraints or priori knowledge. A novel line descriptor called mean-standard deviation line descriptor (MSLD) descriptor is proposed for this purpose, which is constructed by the following three steps: (1) For each pixel on the line segment, its pixel support region (PSR) is defined and then the PSR is divided into non-overlapped sub-regions. (2) Line gradient description matrix (GDM) is formed by characterizing each sub-region into a vector. (3) MSLD is built by computing the mean and standard deviation of GDM column vectors. Extensive experiments on real images show that MSLD descriptor is highly distinctive for line matching under rotation, illumination change, image blur, viewpoint change, noise, JPEG compression and partial occlusion. In addition, the concept of MSLD descriptor can also be extended to creating curve descriptor (mean-standard deviation curve descriptor, MSCD), and promising MSCD-based results for both curve and region matching are also demonstrated in this work.