A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Parallel thinning with two-subiteration algorithms
Communications of the ACM
Building detection and description from a single intensity image
Computer Vision and Image Understanding
Straight-line-based primitive extraction in grey-scale object recognition
Pattern Recognition Letters
Detection and Modeling of Buildings from Multiple Aerial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Corner detection based on modified Hough transform
Pattern Recognition Letters
Building Reconstruction from Optical and Range Images
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Recognition and reconstruction of buildings from multiple aerial images
Computer Vision and Image Understanding
Accurate and robust line segment extraction by analyzing distribution around peaks in Hough space
Computer Vision and Image Understanding
Rectangle Detection based on a Windowed Hough Transform
SIBGRAPI '04 Proceedings of the Computer Graphics and Image Processing, XVII Brazilian Symposium
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Adaptive image denoising using scale and space consistency
IEEE Transactions on Image Processing
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The problem of detecting polygon structures in images arises in many applications, from building extraction to cryo-electron microscopy. In this paper, A polygon detection algorithm (PDA) based on line detection is proposed. First of all, we introduce a parallel thinning algorithm to eliminate useless feature points. Then the feature points are organized as disjoint feature contours. For each independent contour, we detect line segment candidates based on RANSAC algorithm. With these candidates, a polygon (triangle, rectangle or other polygons) is composed. Compared to the state-of-the-art shape detection algorithms, PDA is much faster and it can detect any polygons such as triangles, rectangles, etc. We introduce PDA to a 6DOFs robot visual servoing platform and the experimental results show that significant improvements in time efficiency and performance robustness of the proposed algorithm have been achieved.