Building Façade Interpretation from Image Sequences
نویسندگان
چکیده
In this paper we propose an approach for building façade interpretation ranging from uncalibrated images of an image sequence to the extraction of objects such as windows. The approach comprises several novel features, such as determination of the façade planes by robust least squares matching, learning of implicit shape models for objects, particularly windows, and a determination of the latter by means of a Markov Chain Monte Carlo (MCMC) process employing an abstraction hierarchy. Results for the fully automatic approach show its potential and problems.
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