Combined Feature Extraction for Façade Reconstruction

نویسندگان

  • Susanne Becker
  • Norbert Haala
چکیده

Within the paper, the combined application of terrestrial image and LIDAR data for façade reconstruction is discussed. Existing 3D building models as they are available from airborne data collection are additionally integrated into the process. These given models provide a priori information, which efficiently supports both the georeferencing of the terrestrial data and the subsequent geometric refinement. Approximate orientation parameters for the terrestrial LIDAR measurements are provided by suitable low-cost components. Exact georeferencing is then realised by an automatic alignment to the building models, which are given in the required reference coordinate system. The automatic relative orientation of the terrestrial images is implemented by tie point matching. A modified version of this matching process is then used to align these images to the terrestrial LIDAR data, which were already georeferenced in the preceding step. After this fully automatic orientation process, the given 3D model is refined by the extraction of window structures from the LIDAR point clouds and façade images.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Object Information Automatic Extraction from High Resolution Stereo Pairs by Dense Image Matching and Information Fusion

With the advent of digital sensor, the requirement for new Photogrammetric software is urgent to quick object information extraction from high-resolution stereo pairs. This paper describes an effective combined approach for digital surface reconstruction and thematic information extraction automatically. Digital surface reconstruction from stereo pairs is realized by multi-level feature matchin...

متن کامل

Hierarchical Repetition Extraction for Building Façade Reconstruction from Oblique Aerial Images

In this paper we introduce an approach for automatic recognition and reconstruction of building facade structure from oblique aerial images. Contrast to street-view image oblique aerial image has larger field of view but lower resolution, weaker texture and more noise. To overcome these shortcomings, our approach firstly analyses the horizontal distribution density to extract individual facade ...

متن کامل

An Integrated Framework for Feature Extraction, Object Recognition and Stereo Vision with GPU support

This paper investigates the integration of feature extraction, object recognition and 3D reconstruction by stereo vision into a unified framework. In doing so, stereo vision can be made more robust by applying feature extraction results to the stereo matching process, and object recognition can be extended through the integration of depth information as another feature of the scene. In this wor...

متن کامل

Feature Extraction of Visual Evoked Potentials Using Wavelet Transform and Singular Value Decomposition

Introduction: Brain visual evoked potential (VEP) signals are commonly known to be accompanied by high levels of background noise typically from the spontaneous background brain activity of electroencephalography (EEG) signals. Material and Methods: A model based on dyadic filter bank, discrete wavelet transform (DWT), and singular value decomposition (SVD) was developed to analyze the raw data...

متن کامل

3D Object Reconstruction Using Single Image

Recentely, many algorithms were implemeneted; in order to get better and accurate 3D modeling. In this paper, five proposed methods were presented for 3D object reconstruction from a single 2D color image. The basic idea of the five proposed algorithms: depend on changing the process of 3D reconstruction from single image to 3D reconstruction using two images on which feature extraction and mat...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007