Image and Vision Computing - Special issue: frequency increase for 1991
Scale- and orientation-invariant generalized Hough transform—a new approach
Pattern Recognition
Relative motion and pose from arbitrary plane curves
Image and Vision Computing
Shapes Recognition Using the Straight Line Hough Transform: Theory and Generalization
IEEE Transactions on Pattern Analysis and Machine Intelligence
Geometric invariants and object recognition
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Using affine invariants on perspective projections of plane curves
Computer Vision and Image Understanding
Planar object recognition using projective shape representation
International Journal of Computer Vision
Iterative pose estimation using coplanar feature points
Computer Vision and Image Understanding
Object Matching Using Deformable Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Analysis of affine invariants as approximate perspective invariants
Computer Vision and Image Understanding
Efficiently Locating Objects Using the Hausdorff Distance
International Journal of Computer Vision
A Hough transform technique for the detection of parallel projected rotational symmetry
Pattern Recognition Letters
Planar 3D Object Detection by Using the Generalized Hough Transform
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
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In this work a new method to detect objects under scaled orthographic projections is shown. It also calculates the parameters of the transformations the object has suffered. The method is based on the use of the Generalized Hough Transform (GHT) that compares a template with a projected image. The computational requirements of the algorithm are reduced by restricting the transformation to the template edge points and using invariant information during the comparison process. This information is obtained from a precomputed table of the template that is directly transformed and compared with the image table. Moreover, a multiresolution design of the algorithm speeds-up the parameters calculation.