A self-organizing ARTEX model is developed to categorize and classify textured image regions. ARTEX specializes the FACADE model of how the visual cortex sees, and the ART model of how temporal and prefrontal cortices interact with the hippocampal system to learn visual recognition categories and their names. FACADE processing generates a vector of boundary and surface properties, notably textu...

This paper describes one realization of the attribute inheritance mechanism in specific CAD/CAM software package supporting the design and manufacturing of the facade carpentry. The facade carpentry is made out of a number of profiles and items together with the corresponding parts needed to join and assemble them known as profile system. Each entity in profile system can be described using the...

In this paper, we present a fast approach to automated generation of textured 3D city models with both high details at ground level, and complete coverage for bird’s-eye view. A close-range facade model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal traffic conditions on public roads; a far-range Digital Surface Map (DSM), con...

We propose an incremental learning scheme for learning a class hierarchy for objects typically occurring multiple in images. Given one example of an object that appears several times in the image, e.g. is part of a repetitive structure, we propose a method for identifying prototypes using an unsupervised clustering procedure. These prototypes are used for building a hierarchical appearance base...

...................................................................................................................... iii ACKNOWLEDGEMENTS ............................................................................................... iv DEDICATION .................................................................................................................... v INTRODUCTION...................

traditional persian architects used to employ the facade ornaments to illustrate cultural values and heritage. moreover, their approach for the adaptation of decorations to structural constructional requirements of buildings, called tectonics, could be considered as a cultural-artistic character itself. although these features were omitted when modernism and its independent facade principle pre...

The paper addresses the problem of feature selection during classification of image regions within the context of interpreting images showing highly structured objects such as buildings. We present a feature selection scheme that is connected with the classification framework Adaboost, cf. (Schapire and Singer, 1999). We constricted our weak learners on threshold classification on a single feat...

As part of an architectural modeling project, this paper investigates the problem of understanding and manipulating images of buildings. Our primary motivation is to automatically detect and seamlessly remove unwanted foreground elements from urban scenes. Without explicit handling, these objects will appear pasted as artifacts on the model. Recovering the building facade in a video sequence is...

In existing research about 3D city map, geometrical information of buildings’ facade is derived from video image. In order to improve quality of the geometrical information, range image is used in our research. At first range image of existing buildings is acquired using laser scanners mounted on data acquisition vehicle which runs in the street. After removing obstacles from original range ima...

We propose a novel three-layered approach for semantic segmentation of building facades. In the first layer, starting from an oversegmentation of a facade, we employ the recently introduced machine learning technique Recursive Neural Networks (RNN) to obtain a probabilistic interpretation of each segment. In the second layer, initial labeling is augmented with the information coming from specia...