3D reconstruction of buildings with automatic facade refinement
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
A three-layered approach to facade parsing
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Building facade detection, segmentation, and parameter estimation for mobile robot stereo vision
Image and Vision Computing
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We examine a new method of façade segmentation in a multi-view scenario. A set of overlapping, thus redundant street-side images exists and each image shows multiple buildings. A semantic segmentation identifies primary areas in the image such as sky, ground, vegetation, and façade. Subsequently, repeated patterns are detected in image segments previous labeled as "façade areas" and are applied to separate specific facades from each other. Experimentation is based on an industrial street-view dataset from a moving car by well-designed, calibrated, automated cameras. High overlap images define a multi-view scenario. We achieve 97% pixel-wise segmentation effectiveness, outperforming current state-of-the-art methods.