Use of the Hough transformation to detect lines and curves in pictures
Communications of the ACM
An Application of Relaxation Labeling to Line and Curve Enhancement
IEEE Transactions on Computers
Locating Object Boundaries in Textured Environments
IEEE Transactions on Computers
Direction coding method and its application to scene analysis
IJCAI'75 Proceedings of the 4th international joint conference on Artificial intelligence - Volume 1
Edge detection using Walsh functions
Artificial Intelligence
Obtaining dip and susceptibility information from Euler deconvolution using the Hough transform
Computers & Geosciences
Extraction of 2D Barcode Using Keypoint Selection and Line Detection
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
A general framework for subspace detection in unordered multidimensional data
Pattern Recognition
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The recovery of straight picture edges from digitisations of scenes containing polyhedra ('line finding') is central to the functioning of scene analysis programs. While recognising that recovery properly involves a computational mobilisation of a great deal of knowledge-supported context, there remain some "basic issues of representation which govern the way in which the primary data - grey levels - are addressed. The paper describes a parametric representation of straight picture edges and its procedural deployment in the recovery of edges from digitisations of scenes whose contents arc essentially polyhedra with strong visible shadows.