A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Invariant Properties of Straight Homogeneous Generalized Cylinders and Their Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
Perceptual Organization and Visual Recognition
Perceptual Organization and Visual Recognition
From an Intensity Image to 3-D Segmented Descriptions
ECCV '96 Proceedings of the International Workshop on Object Representation in Computer Vision II
Detecting, localizing and grouping repeated scene elements from an image
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Affine/ Photometric Invariants for Planar Intensity Patterns
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Repeated Structures: Image Correspondence Constraints and 3D Structure Recovery
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Class-based grouping in perspective images
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Robust Computation and Parametrization of Multiple View Relations
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Shape from Texture without Boundaries
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
Non-local scan consolidation for 3D urban scenes
ACM SIGGRAPH 2010 papers
Translation-symmetry-based perceptual grouping with applications to urban scenes
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part IV
Geo-localization of street views with aerial image databases
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Automatic peak number detection in image symmetry analysis
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Discovering texture regularity as a higher-order correspondence problem
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
Applications of Geometry Processing: Grammar-based 3D facade segmentation and reconstruction
Computers and Graphics
Learning basic patterns from repetitive texture surfaces under non-rigid deformations
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
Ultra-wide baseline facade matching for geo-localization
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part I
Building a symbol library from technical drawings by identifying repeating patterns
GREC'11 Proceedings of the 9th international conference on Graphics Recognition: new trends and challenges
Semantic decomposition and reconstruction of residential scenes from LiDAR data
ACM Transactions on Graphics (TOG) - SIGGRAPH 2013 Conference Proceedings
Lattice estimation from images of patterns that exhibit translational symmetry
Image and Vision Computing
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The objective of this work is the automatic detection and grouping of imaged elements which repeat on a plane in a scene (for example tiled floorings). It is shown that structures that repeat on a scene plane are related by particular parametrized transformations in perspective images. These image transformations provide powerful grouping constraints, and can be used at the heart of hypothesize and verify grouping algorithms. The parametrized transformations are global across the image plane and may be computed without knowledge of the pose of the plane or camera calibration. Parametrized transformations are given for severalcl asses of repeating operation in the world as well as groupers based on these. These groupers are demonstrated on a number of real images, where both the elements and the grouping are determined automatically. It is shown that the repeating element can be learnt from the image, and hence provides an image descriptor. Also, information on the plane pose, such as its vanishing line, can be recovered from the grouping.