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Mesh Animation Compression using Skinning and Multi-chart Displacement Texture 16

Mesh Animation Compression using Skinning and Multi-chart Di...

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16th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 16th international conference on computer graphics Theory and Applications (GRAPP)

作者： Fusek, Andrej Riecicky, Adam Stuchlik, Martin Madaras, Martin Slovak Univ Technol Bratislava Fac Informat & Informat Technol Bratislava Slovakia Comenius Univ Fac Math Phys & Informat Bratislava Slovakia Skeletex Res Karlova Ves Slovakia

ISBN: (纸本)9789897584886

Realistic animations of 3D models are currently very complex, and to stream them over a network in real-time, it is necessary to use compression. Currently, many different methods can be used. Some of them use skeleton transformation as an approximation of the animation, others use remeshing for decreasing mesh complexity. In this paper, a novel method of 3D animation compression is presented. It is based on reconstructing a 3D mesh from a 2D displacement texture and subsequent skeletal skinning enhanced by a surface tuning. The tuning is performed by displacing the skinned vertices according to high-frequency details encoded in a Differential Texture since the output of the skinning is just an approximation of the original animation. Skinning weights are encoded in another new texture type - Skinning Map. In each frame of the streaming animation, just a new skeleton pose and the Differential Texture are needed to be sent. The proposed method has a high compression ratio for various animations because the pose is a small data structure and the Differential Texture contains just high-frequency details and on top of that, it can be compressed as video. Furthermore, differences between original and reconstructed animation are minimal, as evidenced by visual and numerical comparisons.

关键词： computers and graphics Animation Compression Skeleton

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Efficient Point Cloud Skeletonization with Locally Adaptive L1-Medial Projection 30

Efficient Point Cloud Skeletonization with Locally Adaptive ...

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30th international conference in Central Europe on computer graphics, visualization and computer Vision, WSCG 2022

作者： Lengauer, Stefan Houska, Peter Preiner, Reinhold Institute of Computer Graphics and Knowledge Visualization Graz University of Technology Inffeldgasse 16c Graz8010 Austria

ISBN: (纸本)9788086943336

3D line skeletons are simplistic representations of a shape's topology which are used for a wide variety of geometry-processing tasks, including shape recognition, retrieval, and reconstruction. Numerous methods have been proposed to generate a skeleton from a given 3D shape. While mesh-based methods can exploit existing knowledge about the shape's topology and orientation, point-based techniques often resort to precomputed per-point normals to ensure robustness. In contrast, previously proposed techniques for unprocessed point clouds either exhibit inferior robustness or require expensive operations, which in turn increases computation time. In this paper, we present a new and highly efficient skeletonization approach for raw point cloud data, which produces overall competitive results compared to previous work, while exhibiting much lower computation times. Our algorithm performs robustly in the face of noisy and fragmented inputs, as they are usually obtained from real-world 3D scans. We achieve this by first transferring the input point cloud into a Gaussian mixture model (GMM), obtaining a more compact representation of the surface. Our method then iteratively projects a small subset of the points into local L1-medians, yielding a rough outline of the shape's skeleton. Finally, we present a new branch detection technique to obtain a coherent line skeleton from those projected points. We demonstrate the capabilities of our proposed method by extracting the line skeletons of a diverse selection of input shapes and evaluating their visual appearance as well as the efficiency compared to alternative state-of-the-art methods. © 2022 University of West Bohemia. All rights reserved.

关键词： Topology

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Exploring Visibility-Based Shading Methods for graphics and visualization

Exploring Visibility-Based Shading Methods for Graphics and ...

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international conference on Computing and Networking Technology (ICCNT)

作者： D. Anandhasilambarasan Kanika Seth Ar Aravind Prakhar Goyal I K Kantharaj Yashwant S. Ingle Department of Computer Science Engineering Karpagam Academy of Higher Education Coimbatore India Centre of Research Impact and Outcome Chitkara University Rajpura Punjab India Department of Electronics and Communication Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Quantum University Research Center Quantum University School of Engineering and Technology Mechaical Engineering JAIN (Deemed to be University) Bangalore Karnataka India Department of Artificial Intelligence & Data Science Vishwakarma Institute of Technology Pune India

ISBN: (数字)9798350370249

ISBN: (纸本)9798350370270

Visibility-based shading techniques for laptop snapshots and visualization can provide realistic and perceptual shading consequences with the aid of utilizing data from the scene’s visibility shape. Those methods comprise visibility statistics to compute the approximate illumination of an object or scene, thinking about occlusion consequences from other objects. Visibility-based totally shading algorithms permit more practical actual-time renderings that extra accurately fit the way people perceive the illumination of scenes. Moreover, these techniques offer performance blessings over global illumination-based total methods, such as improved memory burden and faster computation instances, making them appropriate for plenty of applications. Popular visibility-based strategies, including ray casting and direct illumination, are based totally on the idea that each surface is ideally diffuse and homogeneous, which means their absorption and reflection coefficients are constant. To overcome this issue, a range of new techniques integrate visibility and physics-based total fashions, accounting for fabric homes (such as specular highlights) in the illumination computation. This combination of visibility and physics-based fashions can be, in addition, improved via incorporating mild shipping simulation strategies, inclusive of bidirectional reflectance distribution features and course tracing, to capture better and predict the rendering of actual international materials and surfaces.

关键词： visualization Portable computers Shape Lighting Ray tracing Rendering (computer graphics) Real-time systems Fabrics Reflection coefficient Photonics

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Intelligent Graphic Layout Generation: Current Status and Future Perspectives

Intelligent Graphic Layout Generation: Current Status and Fu...

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international conference on computer Supported Cooperative Work in Design

作者： Zhixiong Liu Fang Liu Mohan Zhang School of Design Hunan University Changsha China

ISBN: (数字)9798350349184

ISBN: (纸本)9798350349191

Graphic Layout Generation focuses on providing layout references for various visual design tasks, such as advertisement design and poster design. Researchers have conducted exploratory studies from different dimensions, such as human-computer interaction and layout representation. With the success of deep learning techniques, there has been a recent surge in research on graphic layout generation using deep generative models. Yet there are still no comprehensive studies on graphic layout generation. In this paper, we review methods for graphic layout generation from two perspectives: implementation and interactivity. We analyze the current status, the advantageous application scenarios, and the challenges of different methods. Based on the analysis results, we summarize the workflow of designers collaborating with graphic automatic layout systems and propose potential directions for future research.

关键词： graphics Human computer interaction visualization Reviews Federated learning Computational modeling Layout

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Development of a smart city service Catalogue for sensor-based digital services 15

Development of a smart city service Catalogue for sensor-bas...

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international conference on computer graphics, visualization, computer Vision and Image Processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on computer Science and Information Systems, MCCSIS 2021

作者： Bozkurt, Yusuf Fauser, Jan Braun, Reiner Hertweck, Dieter Rossmann, Alexander Department of Computer Science Reutlingen University Reutlingen72762 Germany

ISBN: (纸本)9789898704320

The increasing urban population growth leads to challenges in cities in many aspects: Urbanisation problems such as excessive environmental pollution or increasing urban traffic demand new and innovative solutions. In this context, the concept of smart cities is discussed. An enabling element of the smart city concept is applying information technology (IT) to improve administrative efficiency and quality of life while reducing costs and resource consumption and ensuring greater citizen participation in administrative and urban development issues. While these smart city services are technologically studied and implemented, government officials, citizens or businesses are often unaware of the large variety of smart city service solutions. Therefore, this work deals with developing a smart city services catalogue that documents best practice services to create a platform that brings citizens, city government, and businesses together. Although the concept of IT service catalogues is not new and guidelines and recommendations for the design and development of service catalogues already exist in the corporate context, there is little work on smart city service catalogues. Therefore, approaches from agile software development and pattern research were adapted to develop the smart city service catalogue platform in this work. © 2021 international conference on computer graphics, visualization, computer Vision and Image Processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on computer Science and Information Systems, MCCSIS 2021. All rights reserved.

关键词： Population statistics

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Holonomy: A Virtual Reality Exploration of Hyperbolic Geometry 24

Holonomy: A Virtual Reality Exploration of Hyperbolic Geomet...

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Proceedings of the 29th international ACM conference on 3D Web Technology

作者： Martin Skrodzki Scott Jochems Joris Rijsdijk Ravi Snellenberg Rafael Bidarra Computer Graphics and Visualization TU Delft Netherlands TU Delft Netherlands

ISBN: (纸本)9798400706899

Holonomy is a virtual environment based on the mathematical concept of hyperbolic geometry. Unlike other environments, Holonomy allows users to seamlessly explore an infinite hyperbolic space by physically walking. They use their body as the controller, eliminating the need for teleportation or other artificial VR locomotion methods. This paper discusses the development of Holonomy, highlighting the technical challenges faced and overcome during its creation, including rendering complex hyperbolic environments, populating the space with objects, and implementing algorithms for finding shortest paths in the underlying non-Euclidean geometry. Furthermore, we present a proof-of-concept implementation in the form of a VR navigation game and some preliminary learning outcomes from this implementation.

关键词： Embodied Control

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Clothing Parsing using Extended U-Net 16

Clothing Parsing using Extended U-Net

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16th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 16th international conference on computer Vision Theory and Applications (VISAPP)

作者： Vozarikova, Gabriela Stana, Richard Semanisin, Gabriel Pavol Jozef Safarik Univ Kosice Inst Comp Sci Jesenna 5 Kosice Slovakia

ISBN: (纸本)9789897584886

This paper focuses on the task of clothing parsing, which is a special case of the more general object segmentation task well known in the field of computer vision. Each pixel is to be assigned to one of the clothing categories or background. Due to complexity of the problem and lack of data (until recently) performance of the modern state-of-the-art clothing parsing models expressed in terms of mean Intersection over Union metric (IoU) does not exceed 55%. In this paper, we propose a novel multitask network by extending fully-convolutional neural network U-Net with two side branches - one solves a multilabel classification task and the other predicts bounding boxes of clothing instances. We trained this network using a large-scaled iMaterialist dataset (Visipedia, 2019), which we refined. Compared to well performing segmentation architectures FPN, DeepLabV3, DeepLabV3+ and plain U-Net, our model achieves the best experimental results.

关键词： U-Net Clothing Parsing Segmentation computer Vision Multitask Learning Deep Learning Fully-convolutional Network

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Color-NeuS: Reconstructing Neural Implicit Surfaces with Color

Color-NeuS: Reconstructing Neural Implicit Surfaces with Col...

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international conference on 3D imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： Licheng Zhong Lixin Yang Kailin Li Haoyu Zhen Mei Han Cewu Lu Shanghai Jiao Tong University Shanghai Qi Zhi Institute National University of Singapore

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

The reconstruction of object surfaces from multi-view images or monocular video is a fundamental issue in computer vision. However, much of the recent research concentrates on reconstructing geometry through implicit or explicit methods. In this paper, we shift our focus towards reconstructing mesh in conjunction with color. We remove the view-dependent color from neural volume rendering while retaining volume rendering performance through a relighting network. Mesh is extracted from the signed distance function (SDF) network for the surface, and color for each surface vertex is drawn from the global color network. To evaluate our approach, we conceived a in hand object scanning task featuring numerous occlusions and dramatic shifts in lighting conditions. We’ve gathered several videos for this task, and the results surpass those of any existing methods capable of reconstructing mesh alongside color. Additionally, our method’s performance was assessed using public datasets, including DTU, BlendedMVS, and OmniObject3D. The results indicated that our method performs well across all these datasets. Project page: ***/color_neus.

关键词： Geometry Surface reconstruction Solid modeling Three-dimensional displays Image color analysis Lighting Rendering (computer graphics)

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Using fast multidimensional projections to reveal band and circumplex patterns in reorderable matrices 15

Using fast multidimensional projections to reveal band and c...

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作者： da Silva, Celmar Guimarães School of Technology University of Campinas Brazil

ISBN: (纸本)9789898704320

Matrix reordering techniques are essential to reveal patterns in tabular visualizations (such as heatmaps). Polar Sort is a state-of-the-art, pattern-focused reordering method that uses a multidimensional projection technique - Classical MDS - to reveal Band and Circumplex patterns in reorderable matrices. However, Polar Sort is not scalable due to Classical MDS' asymptotic time complexity (O(n3)). In this paper, we explore the use of a fast multidimensional projection technique - FastMap (O(n)) - as an alternative to Classical MDS inside Polar Sort. The new reordering algorithm - PSF - reorders rows and columns of a matrix according to bidimensional projections projected by FastMap (instead of Classical MDS), and uses a barycenter-based ordering identical to Polar Sort's approach. The results of an experiment with synthetic matrices point out that PSF maintained the output quality of its predecessor (according to minimal span loss function, Moore stress, and circular correlation) and had lower execution time than other compared methods. We present the results of these experiments and also some examples of real-world matrices that show patterns similar to Band and Circumplex when reordered by PSF. © 2021 international conference on computer graphics, visualization, computer Vision and Image Processing 2021, CGVCVIP 2021, Connected Smart Cities 2021, CSC 2021 and Big Data Analytics, Data Mining and Computational Intelligence 2021, BIGDACI 2021 - Held at the 15th Multi-conference on computer Science and Information Systems, MCCSIS 2021. All rights reserved.

关键词： visualization

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IS-NEAR: Implicit Semantic Neural Engine and Multi-Sensor Data Rendering With 3D Global Feature

IS-NEAR: Implicit Semantic Neural Engine and Multi-Sensor Da...

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international conference on 3D imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： Tiecheng Sun Wei Zhang Xingliang Dong Tao Lin Huawei 2012 Laboratories Central Media Technology Institute University Of Stuttgart Audiovisual Lab Huawei Munich Research Center

ISBN: (数字)9798350362459

ISBN: (纸本)9798350362466

Data-driven computer Vision (CV) tasks are still limited by the amount of labeled data. Recently, some semantic NeRFs have been proposed to render and synthesize novel-view semantic labels. Although current NeRF methods achieve spatially consistent color and semantic rendering, the capability of the geometrical representation is limited. This problem is caused by the lack of global information among rays in the traditional NeRFs since they are trained with independent directional rays. To address this problem, we introduce the point-to-surface global feature into NeRF to associate all rays, which enables the single ray representation capability of global geometry. In particular, the relative distance of each sampled ray point to the learned global surfaces is calculated to weight the geometry density and semantic-color feature. We also carefully design the semantic loss and back-propagation function to solve the problems of unbalanced samples and the disturbance of implicit semantic field to geometric field. The experiments validate the $3 D$ scene annotation capability with few feed labels. The quantification results show that our method outperforms the state-of-the-art works in efficiency, geometry, color and semantics on the public datasets. The proposed method is also applied to multiple tasks, such as indoor, outdoor, part segmentation labeling, texture re-rendering and robot simulation.

关键词： Geometry computer vision Three-dimensional displays Image color analysis Semantics Rendering (computer graphics) Labeling

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