PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Building models of regular scenes from structure and motion
Anton Hengel, Anthony Dick, Thorsten Thormahlen, Ben Ward and Philip Torr
In: BMVC 2006, 4-7 Sept 2006, Edinburgh, UK.


This paper describes a method for generating a model-based reconstruction of a scene from image data. The method uses the camera models and point cloud typically generated by a structure-and-motion process as a starting point for developing a higher level model of the scene. The method relies on the user to provide a minimal amount of structural seeding information from which more complex geometry is extrapolated. The regularity typically present in man-made environments is used to minimise the interaction required, but also to improve the accuracy of fit. We demonstrate model based reconstructions obtained using this method.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
ID Code:2818
Deposited By:Mudigonda Pawan Kumar
Deposited On:22 November 2006