the proceedings contain 72 papers. the topics discussed include: a visualization and debugging framework for distributed system applications;estimation of joint types and joint limits from motion capture data;statisti...
ISBN:
(纸本)9788086943930
the proceedings contain 72 papers. the topics discussed include: a visualization and debugging framework for distributed system applications;estimation of joint types and joint limits from motion capture data;statistical reconstruction of indoor scenes;adaptive streaming and rendering of large terrains: a generic solution;locally adaptive marching cubes through iso-value variation;selective deblocking method using a tranform table of different dimension DCT;flexible configurable stream processing of point data;pick-by-vision: an augmented reality supported picking system;interactive editing of upholstered furniture;user motion prediction in large virtual environments;low cost finger tracking for a virtual blackboard;quadrilateral mesh generation from point cloud by Monte Carlo method;and integrating tensile parameters in hexahedral mass-spring system for simulation.
the proceedings contain 15 papers. the special focus in this conference is on computervision, Imaging and computergraphicstheory and Applications. the topics include: MinMax-CAM: Increasing Precision of Explai...
ISBN:
(纸本)9783031457241
the proceedings contain 15 papers. the special focus in this conference is on computervision, Imaging and computergraphicstheory and Applications. the topics include: MinMax-CAM: Increasing Precision of Explaining Maps by Contrasting Gradient Signals and Regularizing Kernel Usage;DIAR: Deep Image Alignment and Reconstruction Using Swin Transformers;Active Learning with Data Augmentation Under Small vs Large Dataset Regimes for Semantic-KITTI Dataset;transformers in Unsupervised Structure-from-Motion;a Study of Aerial Image-Based 3D Reconstructions in a Metropolitan Area;semi-automated Generation of Accurate Ground-Truth for 3D Object Detection;A Quantitative and Qualitative Analysis on a GAN-Based Face Mask Removal on Masked Images and Videos;dense Material Segmentation with Context-Aware Network;partial Alignment of Time Series for Action and Activity Prediction;Automatic Bi-LSTM Architecture Search Using Bayesian Optimisation for Vehicle Activity Recognition;ANTENNA: Visual Analytics of Mobility Derived from Cellphone Data;influence of Errors on the Evaluation of Text Classification Systems;autonomous Navigation Method Considering Passenger Comfort Recognition for Personal Mobility Vehicles in Crowded Pedestrian Spaces.
the proceedings contain 55 papers. the topics discussed include: automatic red eye detection;automatic positioning of features in low-contrast fluoroscopic images;GPU-optimized efficient quad-tree based progressive mu...
the proceedings contain 55 papers. the topics discussed include: automatic red eye detection;automatic positioning of features in low-contrast fluoroscopic images;GPU-optimized efficient quad-tree based progressive multiresolution model for interactive large scale terrain rendering;block-based image exposure assessment and indoor/outdoor classification;interactive local color transfer between images;punctual constraint resolution and deformation path on NURBS;learnable Swendsen-Wang cuts for image segmentation;ray-triangle intersection algorithm for modern CPU architectures;matching aspect ratio of digital photo via complementing;neiroevolutionary approach for color image enhancement;discrete attribute-based particle swarm optimization for robust parameter estimation;neiroevolutionary approach for color image enhancement;and post-processing by total variation quasi-solution method for image interpolation.
this paper is devoted to solving the problem of drain zones calculation using triangulated irregular network analysis. the suggested solution can be used for visual estimation of surface model and solving some designi...
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this paper is devoted to solving the problem of drain zones calculation using triangulated irregular network analysis. the suggested solution can be used for visual estimation of surface model and solving some designing problems.
An internal program infrastructure of complex computergraphics systems developed in the Keldysh Institute for Applied Mathematics RAS is considered. the infrastructure is based on the number of original ideas. Specia...
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An internal program infrastructure of complex computergraphics systems developed in the Keldysh Institute for Applied Mathematics RAS is considered. the infrastructure is based on the number of original ideas. Special attention is paid to the system extensibility and reduction of development efforts.
the visualization system of spatial fields of synoptic objects is presented. Algorithms of scalar and vector fields' visualization are described. Results are shown for synthetic and real data.
the visualization system of spatial fields of synoptic objects is presented. Algorithms of scalar and vector fields' visualization are described. Results are shown for synthetic and real data.
In this paper, we consider models of film grain and suggest algorithms for parameter estimation and synthesis of grain for realistic reproduction of compressed video.
In this paper, we consider models of film grain and suggest algorithms for parameter estimation and synthesis of grain for realistic reproduction of compressed video.
In this paper, we propose the adaptation of a popular Non-Local Means image denoising method for video processing. We study extension of blocks search area to multiple frames, use of motion compensation, and pre-proce...
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In this paper, we propose the adaptation of a popular Non-Local Means image denoising method for video processing. We study extension of blocks search area to multiple frames, use of motion compensation, and pre-processing of frames by DFT thresholding.
the paper present a neuroevolutionary method of monochrome and color images enhancement. the proposed method is based on local-adaptive approach to processing color components of image. Neural network is tuned to perf...
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the paper present a neuroevolutionary method of monochrome and color images enhancement. the proposed method is based on local-adaptive approach to processing color components of image. Neural network is tuned to perform enhancement of particular image using genetic algorithm with use of the generalized image evaluation criterion that relies on the contrast degree of the processed image.
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