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Architectural Decomposition for 3D Landmark Building Understanding
(2016)2016 IEEE Winter Conference on Applications of Computer Vision (WACV)Decomposing 3D building models into architectural elements is an essential step in understanding their 3D structure. Although we focus on landmark buildings, our approach generalizes to arbitrary 3D objects. We formulate the decomposition as a multi-label optimization that identifies individual elements of a landmark. This allows our system to cope with noisy, incomplete, outlier-contaminated 3D point clouds. We detect three types of ...Conference Paper -
Learning Where To Classify In Multi-View Semantic Segmentation
(2014)Computer Vision - ECCV 2014Conference Paper -
Fast, Approximate Piecewise-Planar Modeling Based on Sparse Structure-from-Motion and Superpixels
(2014)2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)Conference Paper