## WSCG 2020: Full Papers Proceedings Domovská stránka kolekce Zobrazit statistiky

Bustacara-Medina, César
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Flórez-Valencia, Leonardo
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Hurtado, José Hernando
Airways Segmentation using Fast Marching
Direct measurements of airway tree and wall areas are potentially useful as a diagnostic tool and as an aid to understanding pathophysiology underlying of the airway diseases. Direct measurements can be made from images obtained using computer tomography (CT) by applying computer-based ... |
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Eskandari, Mana
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Laurendeau, Denis
Covariance Based Differential Geometry Segmentation Techniques for Surface Representation Using Vector Field Framework
In this paper, the concepts of differential geometry traditionally applied to the segmentation of range maps is revisited in the context of implicit surface representation of unorganized point clouds. The paper shows that it is possible to combine covariance-based differential geometry and&#... |
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Bogdan, Victor
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Bonchis, Cosmin
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Orhei, Ciprian
Custom Dilated Edge Detection Filters
Edge detection is a basic and fundamental function in image processing. Inspired by the new dilated convolution techniques which have impressive results in machine learning, we discuss here the idea of dilating the standard filters which are used to compute the gradient of an ... |
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Garro, Valeria
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Sundstedt, Veronica
Pose and Visual Attention: Exploring the Effects of 3D Shape Near-Isometric Deformations on Gaze
Recent research in 3D shape analysis focuses on the study of visual attention on rendered 3D shapes investigating the impact of different factors such as material, illumination, and camera movements. In this paper, we analyze how the pose of a deformable shape affects visual a... |
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Al-Obaidi, Yasir
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Grajek, Tomasz
Estimation of the Optimum Depth Quantization Parameter for a Given Bitrate of Multiview Video Plus Depth in 3D-HEVC Coding
One of the most popular data formats to represent natural immersive visual data is the MVD (Multiview Video plus Depth) format. The representation of a three-dimensional scene requires a huge amount of data in the form of a dense set of views accompanied by high-quality d... |
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Stankowski, Jakub
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Dziembowski, Adrian
Fast View Synthesis for Immersive Video Systems
Immersive video has become a popular research topic recently. However, there are no fast immersive video processing methods, which could be used in practical immersive video systems. In this paper the real-time CPUbased virtual view synthesis method is presented. The proposed method all... |
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Zhang, Yuchong
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Ma, Yong
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Adel, Omrani
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Yadav, Rahul
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Fjeld, Morten
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Fratarcangeli, Marco
Automated Microwave Tomography (MWT) Image Segmentation: State-of-the-Art Implementation and Evaluation
Inspired by the high performance in image-based medical analysis, this paper explores the use of advanced segmentation techniques for industrial Microwave Tomography (MWT). Our context is the visual analysis of moisture levels in porous foams undergoing microwave drying. We propose an automa... |
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Metzgar, Jonathan B.
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Sudhanshu K., Semwal
Scalable Spherical Harmonics Hierarchies
Scalable Spherical Harmonics Hierarchies (SSPHH) is a real-time rendering solution to the global illumination problem. Our novel method is a system of components that enables the computation of light probes and the conversion to spherical harmonics coefficients, which are used as anisotropic... |
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Mancosu, Mattia Samuel
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Czanner, Silvester
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Punter, Martin
Learning Capacity in Simulated Virtual Neurological Procedures
In recent years, the use of Virtual Reality (VR) has skyrocketed in many fields. From videogames to education, the popularity of this technology is well known also thanks to its affordability and the growing number of available content. An immersive approach and the correct us... |
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Woerl, Ann-Christin
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Schoemer, Elmar
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Schwanecke, Ulrich
Variable-Radius Offset Surface Approximation on the GPU
Variable-radius offset surfaces find applications in various fields, such as variable brush strokes in 2D and 3D sketching and geometric modeling tools. In forensic facial reconstruction the skin surface can be inferred from a given skull by computing a variable-radius offset surface of... |
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Michalak, Hubert
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Okarma, Krzysztof
Optimization of Degraded Document Image Binarization Method Based on Background Estimation
Binarization of document images is one of the most relevant pre-processing operations, leading to a significant decrease of the amount of information used during their further analysis. Since many document images, particularly historical, may be degraded over time, the application of some&#x... |
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Friedrich, Markus
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Roch, Christoph
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Feld, Sebastian
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Hahn, Carsten
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Fayolle, Pierre-Alain
A Flexible Pipeline for the Optimization of CSG Trees
CSG trees are an intuitive, yet powerful technique for the representation of geometry using a combination of Boolean set-operations and geometric primitives. In general, there exists an infinite number of trees all describing the same 3D solid. However, some trees are optimal regarding&... |
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Belykh, Igor
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Zakharov, Ivan
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Lebedev, Egon
Modeling of ultrasound tomographic imaging for non-destructive inspection of underwater structures
In non-destructive inspection regular ultrasound techniques provide detection and estimate size of specific defects or undesired objects in different structures. The method of tomographic imaging modeled in this paper can provide the correct position and shape of the object inside underwater ... |
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Cox, Hans
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Semwal, Sudhanshu Kumar
Line-Storm Ludic System: An Interactive Augmented Stylus and Writing Pad for Creative Soundscape
We present Line-Storm, an interactive computer system for creative performance. The context we investigated was writing on paper using Line-Storm. We used self-report questionnaires as part of research involving human participants, to evaluate Line-Storm. Line-Storm consisted of a writing stylus ... |
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Tereshchenko, Vasyl
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Chudakov, Semen
Application of concatenable queue for parallel computational geometry algorithms
This paper is devoted to the development of an algorithmic model that solves a set of interrelated computational geometry problems efficiently. To do this, an algorithmic environment with a unified data structure is created, which allows to implement complex use cases efficiently with&#... |
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Moura, Marinara A. N.
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Carvalho, Marco A. G.
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Ferreira, Gisleiva C. S.
Influence of Measuring Points in Ultrasonic Tests on the Tomographic Image Quality of Concrete
In the process of creating digital images of concrete, wave propagation can be used to generate a suitable inner representation of this element, producing an ultrasonic tomography. Although tomography devices are efficient in generating images, they are high-cost and not very accessible.... |
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Baumgartner, David
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Zucali, Tobias
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Zwettler, Gerald A.
Hybrid Approach for Orientation-Estimation of Rotating Humans in Video Frames Acquired by Stationary Monocular Camera
The precise orientation-estimation of humans relative to the pose of a monocular camera system is a challenging task due to the general aspects of camera calibration and the deformable nature of a human body in motion. Thus, novel approaches of Deep Learning for precise object... |
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Valero, José
Inter-Pixel Filtrering of Digital Images with CUDA from NVIDIA
The process of filtering digital images represented by complex Cartesian allows to use the available onedimensional (1D) elements (interpixel); however, having those additional 1D elements increases both the volume of data and the time for processing them. The time reduction strategy b... |
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Alhazmi, Anod
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Semwal, Sudhanshu Kumar
Epsilon-Rotation Invariance using Approximate Euclidean Spheres Packing Algorithm for Cancer Treatment Planning
Cancer treatment planning using SRS (Stereotactic Radio Surgery) uses approximate sphere packing algorithms by guiding multiple beams to treat a set of spherical cancerous regions. Usually volume data from CT/MRI scans is used to identify the cancerous region as set of voxel... |
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Gosciewska, Katarzyna
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Frejlichowski, Dariusz
Coarse Classification of Teeth using Shape Descriptors
This paper presents the problem of coarse classification in an application to teeth shapes. Coarse classification allows to separate a set of objects into several general classes and can precede more detailed identification or narrow the search space. Features of an object are main... |

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- 21 2020