Browsing by Subject "Image segmentation"

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  • Busch, S. (London : International Society for Photogrammetry and Remote Sensing, 2019)
    LiDAR systems are frequently used for driver assistance systems. The minimal distance to other objects and the exact pose of a vehicle is important for ego movement prediction. Therefore, in this work, we extract the poses ...
  • Schachtschneider, Julia; Schlichting, Alexander; Brenner, Claus (London : International Society for Photogrammetry and Remote Sensing, 2017)
    Self-driving cars and robots that run autonomously over long periods of time need high-precision and up-to-date models of the changing environment. The main challenge for creating long term maps of dynamic environments is ...
  • Klinger, T.; Heipke, Christian; Ott, N.; Schenke, H.W.; Ziems, M. (London : International Society for Photogrammetry and Remote Sensing, 2010)
    In this paper we present an automatic approach for coastline detection from images which is based on parametric active contours (snakes). Snakes require the definition of an energy functional that reflects the underlying ...
  • Tymkovych, Maksym Yu; Avrunin, Oleg G.; Paliy, Victor G.; Filzow, Maksim; Gryshkov, Oleksandr; Glasmacher, Birgit; Omiotek, Zbigniew; Dzierlak, Roza; Smailova, Saule; Kozbekova, Ainur (Bellingham, WA : S P I E - International Society for Optical Engineering, 2017)
    The work is dedicated to the segmentation problem of human nasal airways using Cone Beam Computed Tomography. During research, we propose a specialized approach of structured segmentation of nasal airways. That approach ...
  • Gaa, Johannes; Kahrs, Lüder Alexander; Müller, Samuel; Majdani, Omid; Ortmaier, Tobias (Bellingham, WA : S P I E - International Society for Optical Engineering, 2015)
    Planning and analyzing of surgical interventions are often based on computer models derived from computed tomography images of the patient. In the field of cochlear implant insertion the modeling of several structures of ...
  • Niemeyer, Joachim; Rottensteiner, Franz; Sörgel, Uwe; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2015)
    In this investigation, we address the task of airborne LiDAR point cloud labelling for urban areas by presenting a contextual classification methodology based on a Conditional Random Field (CRF). A two-stage CRF is set up: ...
  • Altmann, Bettina; Pape, Christian; Reithmeier, Eduard (Bellingham, WA : S P I E - International Society for Optical Engineering, 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 ...
  • Politz, F.; Sester, M. (Katlenburg-Lindau : Copernicus Publications, 2018)
    Over the past years, the algorithms for dense image matching (DIM) to obtain point clouds from aerial images improved significantly. Consequently, DIM point clouds are now a good alternative to the established Airborne ...
  • Laves, Max-Heinrich; Schoob, Andreas; Kahrs, Lüder Alexander; Pfeiffer, Tom; Huber, Robert; Ortmaier, Tobias (Bellingham, WA : S P I E - International Society for Optical Engineering, 2017)
    A common representation of volumetric medical image data is the triplanar view (TV), in which the surgeon manually selects slices showing the anatomical structure of interest. In addition to common medical imaging such as ...
  • Dietz, Armin; Pösch, Andreas; Reithmeier, Eduard (Bellingham, WA : SPIE - International Society for Optical Engineering, 2018)
    The number of health-care associated infections is increasing worldwide. Hand hygiene has been identified as one of the most crucial measures to prevent bacteria from spreading. However, compliance with recommended procedures ...
  • Menze, Moritz; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2014)
    Three-dimensional information from dense image matching is a valuable input for a broad range of vision applications. While reliable approaches exist for dedicated stereo setups they do not easily generalize to more ...
  • Bergmeier, Jan; Kundrat, Dennis; Schoob, Andreas; Kahrs, Lüder Alexander; Ortmaier, Tobias (Bellingham, WA : S P I E - International Society for Optical Engineering, 2015)
    This work investigates combination of Optical Coherence Tomography and two cameras, observing a microscopic scene. Stereo vision provides realistic images, but is limited in terms of penetration depth. Optical Coherence ...
  • Altmann, Bettina; Pape, Christian; Reithmeier, Eduard (Bellingham, WA : S P I E - International Society for Optical Engineering, 2017)
    Increasing requirements concerning the quality and lifetime of machine components in industrial and automotive applications require comprehensive investigations of the components in conditions close to the application. ...
  • Nagabhatla, Nidhi; Kühle, Peter (Firenze : Associazione Italiana di Telerilevamento, 2016)
    We examine the use of high spatial resolution ‘GeoEYE’ imagery for land use classification in a tropical landscape. Image objects (I-Os) derived from features identification provide a basis for segmentation process and the ...
  • Albert, Lena; Rottensteiner, Franz; Heipke, Christian (Hannover : International Society for Photogrammetry and Remote Sensing, 2014)
    This paper proposes a two-layer Conditional Random Field model for simultaneous classification of land cover and land use. Both classification tasks are integrated into a unified graphical model, which is reasonable due ...