IEEE Transactions on Pattern Analysis and Machine Intelligence
Structural Analysis of Natural Textures
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision, Graphics, and Image Processing
Digital Picture Processing
Computer Vision
Real-Time Feature Extractio: a Fast Line Finder for Vision-Guided
Real-Time Feature Extractio: a Fast Line Finder for Vision-Guided
Towards cosmopolitan robots: intelligent navigation in extended man-made environments
Towards cosmopolitan robots: intelligent navigation in extended man-made environments
Three-Dimensional Reconstruction of Points and Lines with Unknown Correspondence across Images
International Journal of Computer Vision
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Road lane segmentation using dynamic programming for active safety vehicles
Pattern Recognition Letters
Directional edge tracking for line extraction
SPPRA'06 Proceedings of the 24th IASTED international conference on Signal processing, pattern recognition, and applications
Circular Sub-window Multi-Step GPI Method in Seam Tracking of Welding Robot Based on 3D Vision
ICIRA '08 Proceedings of the First International Conference on Intelligent Robotics and Applications: Part II
Augmenting cartographic resources for autonomous driving
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Self-supervised aerial image analysis for extracting parking lot structure
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: plenary, special, audio, underwater acoustics, VLSI, neural networks - Volume I
Robust line detection using two-orthogonal direction image scanning
Computer Vision and Image Understanding
EDLines: A real-time line segment detector with a false detection control
Pattern Recognition Letters
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Exploiting publicly available cartographic resources for aerial image analysis
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Ortho-image analysis for producing lane-level highway maps
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
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There are two basic ways to improve the speed of a low-level vision algorithm: careful code optimization and selective processing. Reducing the computational effort expended on each pixel reduces the time required to process an image by a constant factor. Selective processing on a limited portion of an image using a focus of attention can decrease overall computation by orders of magnitude. A fast pixel-based algorithm is developed that uses these principles to achieve fast extraction of lines for use in vision-guided mobile robot navigation. It builds upon an algorithm for extracting lines by grouping pixels with similar gradient orientation. It allows parametric control of computational resources required to extract lines with particular characteristics.