Browsing by Subject "Computer vision"

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  • Accuracy analysis of a low-cost platform for positioning and navigation 
    Hofmann, Sabine; Kuntzsch, C.; Schulze, Malte Jan; Eggert, D.; Sester, Monika (Göttingen : Copernicus GmbH, 2012)
    This paper presents an accuracy analysis of a platform based on low-cost components for landmark-based navigation intended for research and teaching purposes. The proposed platform includes a LEGO MINDSTORMS NXT 2.0 kit, ...
  • Analysis of UAV-acquired wetland orthomosaics using GIS, computer vision, computational topology and deep learning 
    Kentsch, Sarah; Cabezas, Mariano; Tomhave, Luca; Groß, Jens; Burkhard, Benjamin; Caceres, Maximo Larry Lopez; Waki, Katsushi; Diez, Yago (Basel : MDPI AG, 2021)
    Invasive blueberry species endanger the sensitive environment of wetlands and protection laws call for management measures. Therefore, methods are needed to identify blueberry bushes, locate them, and characterise their ...
  • Analyzing a block of HRSC image strips for a simultaneous bundle adjustment 
    Bostelmann, Jonas; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)
    10 years ago the first European interplanetary mission Mars Express was launched and sent into orbit around Mars. One of the scientific instruments on board the orbiter is the High Resolution Stereo Camera (HRSC). This ...
  • Context-based urban terrain reconstruction from images and videos 
    Bulatov, Dimitri; Rottensteiner, Franz; Schulz, Karsten (Göttingen : Copernicus GmbH, 2012)
    Detection of buildings and vegetation, and even more reconstruction of urban terrain from sequences of aerial images and videos is known to be a challenging task. It has been established that those methods that have as ...
  • Data mining for classification of high volume dense lidar data in an urban area 
    Chauhan, I.; Brenner, Claus (Göttingen : Copernicus GmbH, 2018)
    3D LiDAR point cloud obtained from the laser scanner is too dense and contains millions of points with information. For such huge volume of data to be sorted, identified, validated and be used for prediction, data mining ...
  • Digital image processing algorithms for automated inspection of dynamic effects in roller bearings 
    Altmann, Bettina; Pape, Christian; Reithmeier, Eduard (Bellingham, Wash. : SPIE, 2017)
    Unstable movement in roller bearings like cage or roller slip can lead to damages or eventually even to an early break of the bearing. To prevent slip, inadequate operating states should be avoided. Therefore, it is necessary ...
  • An efficient method to detect mutual overlap of a large set of unordered images for structure-from-motion 
    Wang, X.; Zhan, Z.Q.; Heipke, Christian (Göttingen : Copernicus GmbH, 2017)
    Recently, low-cost 3D reconstruction based on images has become a popular focus of photogrammetry and computer vision research. Methods which can handle an arbitrary geometric setup of a large number of unordered and ...
  • Geometric calibration of full spherical panoramic ricoh-theta camera 
    Aghayari, S.; Saadatseresht, Mohammad; Omidalizarandi, Mohammad; Neumann, Ingo (Göttingen : Copernicus GmbH, 2017)
    A novel calibration process of RICOH-THETA, full-view fisheye camera, is proposed which has numerous applications as a low cost sensor in different disciplines such as photogrammetry, robotic and machine vision and so on. ...
  • Geometrical adjustment towards the alignment of vector databases 
    Dalyot, S.; Dahinden, Tobias; Schulze, Malte Jan; Boljen, J.; Sester, Monika (Göttingen : Copernicus GmbH, 2012)
    Comparison of geospatial databases presenting similar spatial extent might show substantial differences. This is the consequence of different factors, such as: accuracy, scale, data collection and processing methods, ...
  • High accurate pointwise (geo-)referencing of a k-tls based multi-sensor-system 
    Hartmann, J.; Trusheim, P.; Alkhatib, H.; Paffenholz, Jens-André; Diener, D.; Neumann, Ingo (Göttingen : Copernicus GmbH, 2018)
    In recent years, the requirements in the industrial production, e.g., ships or planes, have been increased. In addition to high accuracy requirements with a standard deviation of 1 mm, an efficient 3D object capturing is ...
  • Integration of a generalised building model into the pose estimation of UAS images 
    Unger, Jakob; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2016)
    A hybrid bundle adjustment is presented that allows for the integration of a generalised building model into the pose estimation of image sequences. These images are captured by an Unmanned Aerial System (UAS) equipped ...
  • The ISPRS benchmark on urban object classification and 3d building reconstruction 
    Rottensteiner, Franz; Sohn, Gunho; Jung, Jaewook; Gerke, Markus; Baillard, Caroline; Benitez, Sebastien; Breitkopf, Uwe (Göttingen : Copernicus GmbH, 2012)
    For more than two decades, many efforts have been made to develop methods for extracting urban objects from data acquired by airborne sensors. In order to make the results of such algorithms more comparable, benchmarking ...
  • Junction extraction by artificial neural network system – Jeans 
    Barsi, Arpad; Heipke, Christian; Willrich, Felicitas ([Wechselnde Verlagsorte] : ISPRS, 2002)
    The paper presents a road junction operator, which was developed for medium resolution black-and-white orthoimages. The operator uses a feed-forward neural network applied for a running window to decide whether it contains ...
  • Land Use Classification Using Conditional Random Fields for the Verification of Geospatial Databases 
    Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2014)
    Geospatial land use databases contain important information with high benefit for several users, especially when they provide a detailed description on parcel level. Due to many changes connected with a high effort of the ...
  • Movement Sonification: Audiovisual benefits on motor learning 
    Effenberg, Alfred O.; Fehse, Ursula; Weber, Andreas (Les Ulis : EDP Sciences, 2011)
    Processes of motor control and learning in sports as well as in motor rehabilitation are based on perceptual functions and emergent motor representations. Here a new method of movement sonification is described which is ...
  • Multi-layer visualization of mobile mapping data 
    Eggert, D.; Sester, Monika (Göttingen : Copernicus GmbH, 2013)
    Application various different visualization schemes are conceivable. This paper presents a multi-layer based visualization method, enabling fast data browsing of mobile mapping data. In contrast to systems like Google ...
  • Network snakes for adapting GIS roads to height data of different data sources - performance analysis using als data and stereo images 
    Göpfert, Jens; Rottensteiner, Franz; Heipke, Christian (Göttingen : Copernicus GmbH, 2012)
    In order to tackle the problem of consistently integrating 2D vector data and a DTM, we presented an approach for the adaptation of 2D GIS road objects to airborne laser scanning (ALS) data using active contours (snakes) ...
  • A new straight line reconstruction methodology from multi-spectral stereo aerial images 
    Ok, A.O.; Wegner, J.D.; Heipke, Christian; Rottensteiner, Franz; Sörgel, Uwe; Toprak, V. (London : International Society for Photogrammetry and Remote Sensing, 2010)
    In this study, a new methodology for the reconstruction of line features from multispectral stereo aerial images is presented. We take full advantage of the existing multispectral information in aerial images all over the ...
  • Octree-based SIMD strategy for ICP registration and alignment of 3d point clouds 
    Eggert, D.; Dalyot, S. (Göttingen : Copernicus GmbH, 2012)
    Matching and fusion of 3D point clouds, such as close range laser scans, is important for creating an integrated 3D model data infrastructure. The Iterative Closest Point algorithm for alignment of point clouds is one of ...
  • On the Role of Images for Analyzing Claims in Social Media 
    Cheema, Gullal S.; Hakimov, Sherzod; Müller-Budack, Eric; Ewerth, Ralph (Aachen, Germany : RWTH Aachen, 2021)
    Fake news is a severe problem in social media. In this paper, we present an empirical study on visual, textual, and multimodal models for the tasks of claim, claim check-worthiness, and conspiracy detection, all of which ...