This page contains separated PDF files of the Journal WSCG and WSCG proceedings in 2020
(http://www.wscg.eu)

All issues of the Journal of WSCG and WSCG proceedings are available at
http://wscg.zcu.cz/DL/wscg_DL.htm

 CSRN 3001 - WSCG 2020 - Full papers

• Le Clerc,F., Sun,H.: Memory-Friendly Deep Mesh Registration [PDF]
      DOI:10.24132/CSRN.2020.3001.1
• Gosciewska,K., Frejlichowski,D.: Coarse Classification of Teeth by means of Shape Descriptors [PDF]
      DOI:10.24132/CSRN.2020.3001.2
• Valero,J.: Inter-Pixel Filtrering of Digital Images with CUDA from NVIDIA [PDF]
      DOI:10.24132/CSRN.2020.3001.3
• Alhazmi,A., Semwal,S.: Epsilon-Rotation Invariance using Approximate Euclidean Spheres Packing Algorithm for Cancer Treatment Planning [PDF]
      DOI:10.24132/CSRN.2020.3001.4
• Baumgartner,D., Praschl,C., Zucali,T., Zwettler,G.: Hybrid Approach for Orientation-Estimation of Rotating Humans in Video Frames Acquired by Stationary Monocular Camera [PDF]
      DOI:10.24132/CSRN.2020.3001.5
• Moura,M., Carvalho,M., Ferreira,G.: Influence of Measuring Points in Ultrasonic Tests on the Tomographic Image Quality of Concrete [PDF]
      DOI:10.24132/CSRN.2020.3001.6
• Tereshchenko,V., Chudakov,S.: Application of concatenable queue for parallel computational geometry algorithms [PDF]
      DOI:10.24132/CSRN.2020.3001.7
• Cox, H., Semwal, S.: Line-Storm Ludic System: An Interactive Augmented Stylus and Writing Pad for Creative Soundscape [PDF]
      DOI:10.24132/CSRN.2020.3001.8
• Belykh,I., Zakharov,I., Lebedev,E.: Modeling of ultrasound tomographic imaging for non-destructive inspection of underwater structures [PDF]
      DOI:10.24132/CSRN.2020.3001.9
• Friedrich,M., Roch,C., Feld, S., Hahn, C., Fayolle, P.-A.: A Flexible Pipeline for the Optimization of CSG Trees [PDF]
      DOI:10.24132/CSRN.2020.3001.10
• Michalak,H., Okarma,K.: Optimization of Degraded Document Image Binarization Method Based on Background Estimation [PDF]
      DOI:10.24132/CSRN.2020.3001.11
• Woerl,A.-C., Schoemer,E., Schwanecke,U.: Variable-Radius Offset Surface Approximation on the GPU [PDF]
      DOI:10.24132/CSRN.2020.3001.12
• Mancosu,M.S., Czanner,S., Punter,M.: Learning Capacity in Simulated Virtual Neurological Procedures [PDF]
      DOI:10.24132/CSRN.2020.3001.13
• Metzgar,J.B., Semwal,S.K.: Scalable Spherical Harmonics Hierarchies [PDF]
      DOI:10.24132/CSRN.2020.3001.14
• Zhang,Y., Ma,Y., Omrani,A., Yadav,R., Fjeld,M., Fratarcangeli,M.: Automated Microwave Tomography (MWT) Image Segmentation: State-of-the-Art Implementation and Evaluation [PDF]
      DOI:10.24132/CSRN.2020.3001.15
• Stankowski,J., Dziembowski,A.: Fast View Synthesis for Immersive Video Systems [PDF]
      DOI:10.24132/CSRN.2020.3001.16
• Al-Obaidi,Y., Grajek,T.: Estimation of the Optimum Depth Quantization Parameter for a Given Bitrate of Multiview Video Plus Depth in 3D-HEVC Coding [PDF]
      DOI:10.24132/CSRN.2020.3001.17
• Garro,V., Sundstedt,V.: Pose and Visual Attention: Exploring the Effects of 3D Shape Near-Isometric Deformations on Gaze [PDF]
      DOI:10.24132/CSRN.2020.3001.18
• Bogdan,V., Bonchis,C., Orhei,C.: Custom Dilated Edge Detection Filters [PDF]
      DOI:10.24132/CSRN.2020.3001.19
• Eskandari,M., Laurendeau,D.: Covariance Based Differential Geometry Segmentation Techniques for Surface Representation Using Vector Field Framework [PDF]
      DOI:10.24132/CSRN.2020.3001.20
• Bustacara-Medina,C., Flórez-Valencia,L., Hurtado,J.H.: Airways Segmentation using Fast Marching [PDF]
      DOI:10.24132/CSRN.2020.3001.21

Journal of WSCG, Vol.28, No.1-2, 2020

• Zoet,T., Bikker,J.: Accelerating Ray Tracing with Origin Offsets [PDF]
      DOI:10.24132/JWSCG.2020.28.1
• Nysjö,F.: Clustered Grid Cell Data Structure for Isosurface Rendering [PDF]
      DOI:10.24132/JWSCG.2020.28.2
• Molchanov,V., Linsen,L.: Smooth Map Deformation Using Integral Images [PDF]
      DOI:10.24132/JWSCG.2020.28.3
• Marco,V.S., Ukita,N., Kobayashi,N., Matsuoka,M.: AICO, Artificial Intelligent COach [PDF]
      DOI:10.24132/JWSCG.2020.28.4
• Zwettler,G.A., Holmes III,D.R., Backfrieder,W.: Strategies for Training Deep Learning Models in Medical Domains with Small Reference Datasets [PDF]
      DOI:10.24132/JWSCG.2020.28.5
• Korpitsch,T., Takahashi,S., Gröller,E., Wu,H.: Simulated Annealing to Unfold 3D Meshes and Assign Glue Tabs [PDF]
      DOI:10.24132/JWSCG.2020.28.6
• Kim,J., Choi,S.: Hallucinating Very Low Resolution Face Images to 16x magnification with Age based Attributes [PDF]
      DOI:10.24132/JWSCG.2020.28.7
• Frejlichowski,D.: Application of a New Greyscale Descriptor for Recognition of Erythrocytes Extracted from Digital Microscopic Images [PDF]
      DOI:10.24132/JWSCG.2020.28.8
• Scheer,F., Neumann,M., Wirth,K., Ginader,M., Oezkurt,Y., Mueller,S.: Evaluation of model-based tracking and its application in a robotic production line [PDF]
      DOI:10.24132/JWSCG.2020.28.9
• Feng,Q., Shum,H.P.H., Shimamura,R., Morishima,S.: Foreground-aware Dense Depth Estimation for 360 Images [PDF]
      DOI:10.24132/JWSCG.2020.28.10
• Hast,A., Lind,M.: Ensembles and Cascading of Embedded Prototype Subspace Classifiers [PDF]
      DOI:10.24132/JWSCG.2020.28.11
• Hammami,A., Ben Hamida,A., Ben Amar,C., Nicolas,H.: Regions Based Semi-fragile Watermarking Scheme for Video Authentication [PDF]
      DOI:10.24132/JWSCG.2020.28.12
• Reyes-Aviles,F., Fleck,P., Schmalstieg,D., Arth,C.: Improving RGB Image Consistency for Depth-Camera based Reconstruction through Image Warping [PDF]
      DOI:10.24132/JWSCG.2020.28.13
• Cecchetto, B.T., Stewart, J.: Reconstruction of Photon Distributions in Liquid Scattering Media [PDF]
      DOI:10.24132/JWSCG.2020.28.14
• Wagner,F., Döllner,J.,Trapp,M.: Real-time Service-based Stream-processing of High-resolution Videos [PDF]
      DOI:10.24132/JWSCG.2020.28.15
• Sommer,A., Schwanecke,U., Schoemer,E.: Chebyshev’s Method on Projective Fluids [PDF]
      DOI:10.24132/JWSCG.2020.28.16
• Boltcheva,D., Basselin,J., Poull,C., Barthelemy,H.,Sokolov,D.: Topological-based roof modeling from 3D point clouds [PDF]
      DOI:10.24132/JWSCG.2020.28.17
• Stefanczyk,M., Bochenski,T.: Mixing deep learning with classical vision for object recognition [PDF]
      DOI:10.24132/JWSCG.2020.28.18
• Tóth,Á., Kunkli,R.: The Effects of Different Triangulation Techniques for Cage Based Image Deformation Using Generalized Barycentric Coordinates [PDF]
      DOI:10.24132/JWSCG.2020.28.19
• Napieralla,J., Sundstedt,V.: Ultrawide Field of View by Curvilinear Projection Methods [PDF]
      DOI:10.24132/JWSCG.2020.28.20
• Fischer,R., Dittmann.P, Schroeder.C, Zachmann,G.: Improved Lossless Depth Image Compression [PDF]
      DOI:10.24132/JWSCG.2020.28.21
• Benger,W., Leimer,W., Baran,R.: Visualizing Massive Pristine LIDAR Amplitude Responses [PDF]
      DOI:10.24132/JWSCG.2020.28.22
• Gloeckner,D.-A. J., Ihde,L., Doellner,J., Trapp,M.: Intermediate Representations for Vectorization of Stylized Images [PDF]
      DOI:10.24132/JWSCG.2020.28.23
• Neigel,P., Wasenmüller,O.: OPEDD: Offroad Pedestrian Detection Dataset [PDF]
      DOI:10.24132/JWSCG.2020.28.24

Last update 2020-07-23