Using Extremal Boundaries for 3-D Object Modeling
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Machine Learning
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
ACM SIGGRAPH 2003 Papers
Pictorial and formal aspects of shape and shape grammars and aesthetic systems.
Pictorial and formal aspects of shape and shape grammars and aesthetic systems.
What Energy Functions Can Be Minimizedvia Graph Cuts?
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Face Detection
International Journal of Computer Vision
Modelling and Interpretation of Architecture from Several Images
International Journal of Computer Vision
Modelling Dynamic Scenes by Registering Multi-View Image Sequences
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Procedural modeling of buildings
ACM SIGGRAPH 2006 Papers
Design and Performance of a Fault-Tolerant Real-Time CORBA Event Service
ECRTS '06 Proceedings of the 18th Euromicro Conference on Real-Time Systems
Keypoint Recognition Using Randomized Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Image-based procedural modeling of facades
ACM SIGGRAPH 2007 papers
Interactive visual editing of grammars for procedural architecture
ACM SIGGRAPH 2008 papers
Modeling the World from Internet Photo Collections
International Journal of Computer Vision
Languages for constrained binary segmentation based on maximum a posteriori probability labeling
International Journal of Imaging Systems and Technology - Contemporary Challenges in Combinatorial Image Analysis
TransforMesh: a topology-adaptive mesh-based approach to surface evolution
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Variational model-based 3D building extraction from remote sensing data
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Reconstruction of façade structures using a formal grammar and RjMCMC
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Variational principles, surface evolution, PDEs, level set methods, and the stereo problem
IEEE Transactions on Image Processing
Reinforcement Learning: An Introduction
IEEE Transactions on Neural Networks
Quality time-of-flight range imaging for feature-based registration using bacterial foraging
Applied Soft Computing
3D Scene Reconstruction from Multiple Spherical Stereo Pairs
International Journal of Computer Vision
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In this paper we tackle the problem of 3D modeling for urban environment using a modular, flexible and powerful approach driven from procedural generation. To this end, typologies of architectures are modeled through shape grammars that consist of a set of derivation rules and a set of shape/dictionary elements. Appearance (from statistical point of view with respect to the individual pixel's properties) of the dictionary elements is then learned using a set of training images. Image classifiers are trained towards recovering image support with respect to the semantics. Then, given a new image and the corresponding footprint, the modeling problem is formulated as a search of the space of shapes, that can be generated on-the-fly by deriving the grammar on the input axiom. Defining an image-based score function for the produced instances using the trained classifiers, the best rules are selected, making sure that we keep exploring the space by allowing some rules to be randomly selected. New rules are then generated by resampling around the selected rules. At the finest level, these rules define the 3D model of the building. Promising results on complex and varying architectural styles demonstrate the potential of the presented method.