• Experimental Analysis of BSDF Models 

  Kurt, Murat (The Eurographics Association, 2017)

  The Bidirectional Scattering Distribution Function (BSDF) describes the appearance of an optically thin, translucent material by its interaction with light at a surface point. Various BSDF models have been proposed to ...
• Diffraction Prediction in HDR Measurements 

  Lucat, Antoine; Hegedus, R.; Pacanowski, Romain (The Eurographics Association, 2017)

  Modern imaging techniques have proved to be very efficient to recover a scene with high dynamic range values. However, this high dynamic range can introduce star-burst patterns around highlights arising from the diffraction ...
• The Effects of Digital Cameras Optics and Electronics for Material Acquisition 

  Holzschuch, Nicolas; Pacanowski, Romain (The Eurographics Association, 2017)

  For material acquisition, we use digital cameras and process the pictures. We usually treat the cameras as perfect pinhole cameras, with each pixel providing a point sample of the incoming signal. In this paper, we study ...
• Challenges in Appearance Capture and Predictive Modeling of Textile Materials 

  Castillo, Carlos; Aliaga, Carlos; López-Moreno, Jorge (The Eurographics Association, 2017)

  The appearance of cloth is the result of complex light interactions within the structures present in textile materials, particularly challenging due to their multi-scale nature. In addition to the inherent complexity of ...
• Towards Sparse and Multiplexed Acquisition of Material BTFs 

  Brok, Dennis den; Weinmann, Michael; Klein, Reinhard (The Eurographics Association, 2017)

  We present preliminary results on our effort to combine sparse and illumination-multiplexed acquisition of bidirectional texture functions (BTFs) for material appearance. Both existing acquisition paradigms deal with a ...
• Intuitive Editing of Visual Appearance from Real-World Datasets 

  Marco, Julio; Serrano, Ana; Jarabo, Adrian; Masia, Belen; Gutierrez, Diego (The Eurographics Association, 2017)

  Computer-generated imagery is ubiquitous, spanning fields such as games and movies, architecture, engineering, or virtual prototyping, while also helping create novel ones such as computational materials. With the increase ...
• High-Quality Multi-Spectral Reflectance Acquisition with X-Rite TAC7 

  Merzbach, Sebastian; Weinmann, Michael; Klein, Reinhard (The Eurographics Association, 2017)

  When relighting digitized objects, strong color deviations can arise depending on the illumination conditions if the object’s reflectance is only captured in RGB. To guarantee color-correct simulations, it is therefore of ...
• Appearance of Interfaced Lambertian Microfacets, using STD Distribution 

  Ribardière, M.; Meneveaux, D.; Bringier, B.; Simonot, L. (The Eurographics Association, 2017)

  This paper presents the use of Student’s T-Distribution (STD) with interfaced Lambertian (IL) microfacets. The resulting model increases the range of materials while providing a very accurate adjustment of appearance. STD ...
• Image-based Remapping of Material Appearance 

  Sztrajman, Alejandro; Krivánek, Jaroslav; Wilkie, Alexander; Weyrich, Tim (The Eurographics Association, 2017)

  Digital 3D content creation requires the ability to exchange assets across multiple software applications. For many 3D asset types, standard formats and interchange conventions are available. For material definitions, ...
• MAM 2017: Frontmatter 

  Reinhard Klein; Holly Rushmeier (Eurographics Association, 2017)
• Concentric Circle Glyphs for Enhanced Depth-Judgment in Vascular Models 

  Lichtenberg, Nils; Hansen, Christian; Lawonn, Kai (The Eurographics Association, 2017)

  Using 3D models of medical data for surgery or treatment planning requires a comprehensive visualization of the data. This is crucial to support the physician in creating a cognitive image of the presented model. Vascular ...
• Exploration of Interventricular Septum Motion in Multi-Cycle Cardiac MRI 

  Tautz, Lennart; Hüllebrand, Markus; Steinmetz, Michael; Voit, Dirk; Frahm, Jens; Hennemuth, Anja (The Eurographics Association, 2017)

  Function of the heart, including interventricular septum motion, is influenced by respiration and contraction of the heart muscle. Recent real-time magnetic resonance imaging (MRI) can acquire multi-cycle cardiac data, ...
• Combining Pseudo Chroma Depth Enhancement and Parameter Mapping for Vascular Surface Models 

  Behrendt, Benjamin; Berg, Philipp; Preim, Bernhard; Saalfeld, Sylvia (The Eurographics Association, 2017)

  The presence of depth cues in a visualization can be a great aid in understanding the structure and topology of a vessel tree. Pseudo Chromadepth is a well-known technique for enhancing depth perception in vascular 3D ...
• Bone Fracture and Lesion Assessment using Shape-Adaptive Unfolding 

  Martinke, Hannes; Petry, Christian; Großkopf, Stefan; Suehling, Michael; Soza, Grzegorz; Preim, Bernhard; Mistelbauer, Gabriel (The Eurographics Association, 2017)

  The assessment of rib bone fractures and lesions consists of many images that have to be thoroughly inspected slice-by-slice and rib-by-rib. Existing visualization methods, such as curved planar reformation (CPR), reduce ...
• UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model 

  Amrehn, Mario; Gaube, Sven; Unberath, Mathias; Schebesch, Frank; Horz, Tim; Strumia, Maddalena; Steidl, Stefan; Kowarschik, Markus; Maier, Andreas (The Eurographics Association, 2017)

  For complex segmentation tasks, fully automatic systems are inherently limited in their achievable accuracy for extracting relevant objects. Especially in cases where only few data sets need to be processed for a highly ...
• A Web-Based Tool for Cardiac Dyssynchrony Assessment on Ultrasound Data 

  Pezzatini, Daniele; Yagüe, Carlos; Rudenick, Paula; Blat, Josep; Bijnens, Bart; Camara, Oscar (The Eurographics Association, 2017)

  Cardiac resynchronization therapy (CRT) is a broadly used therapy in patients that suffers from heart failure (HF). The positive outcome of CRT depends strongly on the parameters criteria used to select patients and a lot ...
• Maximizing AUC with Deep Learning for Classification of Imbalanced Mammogram Datasets 

  Sulam, Jeremias; Ben-Ari, Rami; Kisilev, Pavel (The Eurographics Association, 2017)

  Breast cancer is the second most common cause of death in women. Computer-aided diagnosis typically demand for carefully annotated data, precise tumor allocation and delineation of the boundaries, which is rarely available ...
• Automatic Thrombus Detection in Non-enhanced Computed Tomography Images in Patients With Acute Ischemic Stroke 

  Löber, Patrick; Stimpel, Bernhard; Syben, Christopher; Maier, Andreas; Ditt, Hendrik; Schramm, Peter; Raczkowski, Boy; Kemmling, André (The Eurographics Association, 2017)

  In case of an ischemic stroke, identifying and removing blood clots is crucial for a successful recovery. We present a novel method to automatically detect vascular occlusion in non-enhanced computed tomography (NECT) ...
• MRI Hip Joint Segmentation: A Locally Bhattacharyya Weighted Hybrid 3D Level Set Approach 

  Pham, Duc Duy; Morariu, Cosmin Adrian; Terheiden, Tobias; Landgraeber, Stefan; Jäger, Marcus; Pauli, Josef (The Eurographics Association, 2017)

  In this paper, we propose a novel hybrid level set approach that locally balances the combined use of both Gradient Vector Flow and region based energy cost function by means of the Bhattacharyya coefficient. The local ...
• Multi-fiber Estimation and Tractography for Diffusion MRI using mixture of Non-central Wishart Distributions 

  Shakya, Snehlata; Gu, Xuan; Batool, Nazre; Özarslan, Evren; Knutsson, Hans (The Eurographics Association, 2017)

  Multi-compartmental models are popular to resolve intra-voxel fiber heterogeneity. One such model is the mixture of central Wishart distributions. In this paper, we use our recently proposed model to estimate the orientations ...

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