Facade classification is an important subtask for automatically building large 3d city models. In the following we present an approach for pixelwise labeling of facade images using an efficient Randomized Decision Forest classifier and robust local color features. Experiments are performed with a popular facade dataset and a new demanding dataset of pixelwise labeled images from the LabelMe project. Our method achieves high recognition rates and is significantly faster for training and testing than other methods based on expensive feature transformation techniques.
REF combine an RDF and local features for pixelwise labeling of facade images.
A Fast Approach for Pixelwise Labeling of Facade Images
2010 20th International Conference on Pattern Recognition
2010 20th International Conference on Pattern Recognition
Computer Science