Image-based street-side city modeling
ACM SIGGRAPH Asia 2009 papers
A dynamic programming approach to reconstructing building interiors
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part V
Thinking inside the box: using appearance models and context based on room geometry
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part VI
Single and sparse view 3D reconstruction by learning shape priors
Computer Vision and Image Understanding
Improved feature extraction and matching in urban environments based on 3D viewpoint normalization
Computer Vision and Image Understanding
Real-time estimation of 3D scene geometry from a single image
Pattern Recognition
Mobile robot 3D map building and path planning based on multi-sensor data fusion
International Journal of Computer Applications in Technology
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VI
21/2D scene reconstruction of indoor scenes from single RGB-D images
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
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We consider the problem of estimating 3-d structure from a single still image of an outdoor urban scene. Our goal is to efficiently create 3-d models which are visually pleasant. We chose an appropriate 3-d model structure and formulate the task of 3-d reconstruction as model fitting problem. Our 3-d models are composed of a number of vertical walls and a ground plane, where ground-vertical boundary is a continuous polyline. We achieve computational efficiency by special preprocessing together with stepwise search of 3-d model parameters dividing the problem into two smaller sub-problems on chain graphs. The use of Conditional Random Field models for both problems allows to various cues. We infer orientation of vertical walls of 3-d model vanishing points.