Geometric Grouping of Repeated Elements within Images
- Frederik SchaffalitzkyAffiliated withDepartment of Engineering Science, University of Oxford
- , Andrew ZissermanAffiliated withDepartment of Engineering Science, University of Oxford
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 powerfulgrou ping 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 realim ages, 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.
- Geometric Grouping of Repeated Elements within Images
- Book Title
- Shape, Contour and Grouping in Computer Vision
- Book Part
- pp 165-181
- Print ISBN
- Online ISBN
- Series Title
- Lecture Notes in Computer Science
- Series Volume
- Series ISSN
- Springer Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- Additional Links
- Industry Sectors
- eBook Packages
To view the rest of this content please follow the download PDF link above.