A Fast Approach for Pixelwise Labeling of Facade Images

Facade classification is an important subtask for automatically building large 3d city models. In the following we present an approach for pixel wise 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 pixel wise labeled images from the Label Me project. Our method achieves high recognition rates and is significantly faster for training and testing than other Methods based on expensive feature transformation techniques.