Now showing items 1-16 of 16

    • Automated Detection of Anatomical Regions in Magnetic Resonance Images 

      Tóth, Márton J.; Blaskovics, Tamás; Ruskó, László; Delso, Gaspar; Csébfalvi, Balázs (The Eurographics Association, 2014)
      Recognition of body parts in three-dimensional medical images is an important task in many clinical applications. It can facilitate image segmentation, registration methods and it can be the first step of an automatic ...
    • Automated Slice-Based Artery Identification in Various Field-of-View CTA Scans 

      Major, David; Novikov, Alexey A.; Wimmer, Maria; Hladuvka, Jiri; Bühler, Katja (The Eurographics Association, 2015)
      Automated identification of main arteries in Computed Tomography Angiography (CTA) scans plays a key role in the initialization of vessel tracking algorithms. Automated vessel tracking tools support physicians in vessel ...
    • Automatic Detection and Recognition of Engineered Nanoparticles in SEM Images 

      Kockentiedt, Stephen; Toennies, Klaus; Gierke, Erhardt; Dziurowitz, Nico; Thim, Carmen; Plitzko, Sabine (The Eurographics Association, 2012)
      Engineered nanoparticles have gained importance in recent years and will do so in the future, but their potential toxicity remains an open question. To better understand their effects on the human body, it is necessary to ...
    • Bitvectors for Robust Hierarchical Template Matching 

      Tweed, David (The Eurographics Association, 2005)
      Many target detection problems involve objects where the primary variability in appearance is due to changes amongst characteristic configurations (as opposed to the systematic variability of object rotation or illumination ...
    • CHROMAGRAM: A Real-time Chroma Key Application for Mobile Devices 

      Corda, Fabrizio; Sorrentino, Fabio; Scateni, Riccardo (The Eurographics Association, 2014)
      Chroma Key is a special-effects technique widely used by television and motion picture industries for image composition. This technique allows users to replace sections identified by a chosen colour in a multimedia stream ...
    • Closed-Form Hierarchical Finite Element Models for Part-Based Object Detection 

      Rak, Marko; Engel, Karin; Tönnies, Klaus D. (The Eurographics Association, 2013)
      In this work we address part-based object detection under variability of part shapes and spatial relations. Our approach bases on the hierarchical finite element modeling concept of Engel and Tönnies [ET09a, ET09b]. They ...
    • Content-based Retrieval of 3D Models using Generative Modeling Techniques 

      Grabner, Harald; Ullrich, Torsten; Fellner, Dieter W. (The Eurographics Association, 2014)
      In this paper we present a novel 3D model retrieval approach based on generative modeling techniques. In our approach generative models are created by domain experts in order to describe 3D model classes. These generative ...
    • A Correlated Parts Model for Object Detection in Large 3D Scans 

      Sunkel, Martin; Jansen, Silke; Wand, Michael; Seidel, Hans-Peter (The Eurographics Association and Blackwell Publishing Ltd., 2013)
      This paper addresses the problem of detecting objects in 3D scans according to object classes learned from sparse user annotation. We model objects belonging to a class by a set of fully correlated parts, encoding dependencies ...
    • Extracting, Visualizing and Tracking Mesoscale Ocean Eddies in Two-dimensional Image Sequences Using Contours and Moments 

      Banesh, Divya; Schoonover, Joseph A.; Ahrens, James P.; Hamann, Bernd (The Eurographics Association, 2017)
      We introduce a system to extract and track mesoscale eddies captured in massive global ocean simulations. The major strength and contribution of our system is its design, which is based on two-dimensional image data ...
    • Image classification using compression distance 

      Lan, Yuxuan; Harvey, Richard (The Eurographics Association, 2005)
      The normalised compression distance measures the mutual compressibility of two signals. We show that this distance can be used for classification on real images. Furthermore, the same compressor can also operate on derived ...
    • Learning Strategies to Select Point Cloud Descriptors for 3D Object Classification: A Proposal 

      Garstka, Jens; Peters, Gabriele (The Eurographics Association, 2014)
      We propose a reinforcement learning approach for an adaptive selection and application of 3D point cloud feature descriptors for the purpose of 3D object classification. The result of the learning process is an autonomously ...
    • LightNet: A Lightweight 3D Convolutional Neural Network for Real-Time 3D Object Recognition 

      Zhi, Shuaifeng; Liu, Yongxiang; Li, Xiang; Guo, Yulan (The Eurographics Association, 2017)
      With the rapid growth of 3D data, accurate and efficient 3D object recognition becomes a major problem. Machine learning methods have achieved the state-of-the-art performance in the area, especially for deep convolutional ...
    • Semantizing Complex 3D Scenes using Constrained Attribute Grammars 

      Boulch, Alexandre; Houllier, Simon; Marlet, Renaud; Tournaire, Olivier (The Eurographics Association and Blackwell Publishing Ltd., 2013)
      We propose a new approach to automatically semantize complex objects in a 3D scene. For this, we define an expressive formalism combining the power of both attribute grammars and constraint. It offers a practical conceptual ...
    • A Short Survey on Optical Material Recognition 

      Weinmann, M.; Klein, R. (The Eurographics Association, 2015)
      The complexity of visual material appearance as observed in the huge variation in material appearance under different viewing and illumination conditions makes material recognition a highly challenging task. In the scope ...
    • A Two-Level Cascade Classification Algorithm for Real-Time Bifurcation Detection in CTA Images of Blood Vessels 

      Novikov, Alexey A.; Wimmer, Maria; Major, David; Bühler, Katja (The Eurographics Association, 2015)
      We introduce a cascade classification algorithm for bifurcation detection in Computed Tomography Angiography (CTA) scans of blood vessels. The proposed algorithm analyzes the vessel surrounding by a trained classifier ...
    • Visual Recognition of Man-made Materials and Structures in an Office Environment 

      Song, Y. Z.; Town, C. P. (The Eurographics Association, 2005)
      This paper demonstrates a new approach towards object recognition founded on the development of Neural Network classifiers and Bayesian Networks. The mapping from segmented image region descriptors to semantically meaningful ...