TY  - JOUR
A1  - Steinhage, V.
T1  - Wissensbasierte Mustererkennung zur Erfassung von Bauplänen
N2  - Due to technological progress and European standardization (e.g. ISO certification) there is an increasing demand to automate the digital recording of building plans. Currently there are two approaches available: (1) labour-intensive redrawing with digitizing tablets or by screen digitizing, (2) automatic scanning and vectorizing where vectorization generally demands an interactive follow-up treatment due to incomplete or ambigues results. This paper proposes a knowledge-based approach for building plan analysis. The procedure reveals the following processing steps: scanning of the building plan, enhancing the image quality and binarization, extraction of lines, line junctions and character fields, knowledge-based interpretation and grouping of image features to domain specific feature aggregates like door symbols, stair symbols etc., optical character recognition and lexicon-based interpretation of character fields, matching of feature aggregates with dimension sets. First results of a prototype implementation are presented. At last an extension of the approach towards a semantic modeling concept showing a coupling between 3D object modeling and an explict 2D modeling of images and technical drawings is presented
KW  - Bauzeichnung
KW  - Mustererkennung
Y1  - 1997
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20111215-4881
ER  - 
TY  - JOUR
A1  - Fischer, A.
A1  - Steinhage, V.
T1  - Ein modellbasiertes Konzept zur städteplanerischen Kartierung durch digitale Bildanalyse
N2  - There is an increasing need for 3D building extraction from aerial images for various applications such astown planning, environmental- and property-related studies. Aerial images usually reveal on one hand a certain amount of information not relevant for the given task of building extraction like vegetation, cars etc. On the other hand there is a loss of relevant information due to occlusions, low contrasts or disadvantageous perspectives. Therefore a promising concept for automated building reconstruction must incorporate a suffciantly complete model of the objects of interest. We propose a model-based approach to 3D building extraction from aerial images which reveals a tight coupling between a generic 3D object model and an explicit 2D image model. The generic object model employes domain specific volumetric primitives (i. e. building part models) and combination schemes. To cover the gap between 3D object models and 2D image data the image model is employed to predict the projective building appearences in aerial images. We present a strategy for a model-based building extraction based on the recognition-by-components principle and show first experimental results derived from international test sets
KW  - Stadtplanung
KW  - Kartierung
KW  - Bildanalyse
KW  - Modellierung
Y1  - 1997
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:gbv:wim2-20111215-4870
ER  -