Parametric spline curves offer flexibility, smoothness and ability to represent complex shapes in various fields of computer graphics and other related fields. These mathematical curves are popularly used for interpol...
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The rising creation and consumption of digital video data have led to further issues regarding content reliability, protection, and digital rights administration. This study presents an embedding data strategy in H.26...
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In the recent development of computer graphics and avatar generation, the synthesis of attractive faces and bodies has gained interest. In cognitive psychology, it is known that the attractiveness of the whole face an...
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Virtual Reality offers many opportunities for use in learning and teaching. However, the creation of Virtual Reality learning opportunities need many resources. Systematic efforts are needed to design learning activit...
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ISBN:
(纸本)9781665495196
Virtual Reality offers many opportunities for use in learning and teaching. However, the creation of Virtual Reality learning opportunities need many resources. Systematic efforts are needed to design learning activities and prepare them for research to be able to show learning effectiveness in the future. This paper describes the planning, development and the evaluation method of Virtual Reality learning activities for computer graphics education. The focus is on the development process of the didactic concept, as well as the immersive Virtual Reality environment. Through the early integration of Learning Analytics components, the foundations for exploring insights into the learning processes are implemented. The methodical combination of software and didactic development offers the advantages of both approaches;the systematic collection of learning data enables early didactic monitoring and hypothesis generation for research.
Gas-solid flows are ubiquitous in industrial *** coupled model of the discrete element method(DEM)and computational fluid dynamics(CFD)is one of the techniques for the simulation of the gas-solid *** enhance the appli...
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Gas-solid flows are ubiquitous in industrial *** coupled model of the discrete element method(DEM)and computational fluid dynamics(CFD)is one of the techniques for the simulation of the gas-solid *** enhance the applicability of the DEM-CFD method,the coarse graining DEM has been developed to simulate large-scale powder *** coarse graining DEM is a scaling law model and hence can simulate large-scale systems using a smaller number of particles than the actual *** the coarse graining DEM enables to effectively simulate large-scale powder systems on a single PC,visualized image is lack of reality due to reduced spatial *** a novel visualization method is developed to produce realistic *** the proposed technique,the virtual particles are located by considering the motion and location of the coarse grain *** show the adequacy of the proposed method,two types of visualization based on the computational results are made:a blow-up of powder due to injected gas flow and a spouted *** these systems,the visualized images are shown to be improved by the proposed visualization *** effectiveness of the proposed method is proved by the agreement of the images based on the calculation results between the standard DEM-CFD method and coarse graining DEM.
The space partitioning algorithm based on the rounding and addressing operations has been proved to be an efficient space partitioning algorithm with the potential for real-time *** improvement on this kind of space p...
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The space partitioning algorithm based on the rounding and addressing operations has been proved to be an efficient space partitioning algorithm with the potential for real-time *** improvement on this kind of space partitioning algorithms for solving complex 3D models is *** examples show that the efficiency of the improved algorithm is better than that of the original *** the size of most target elements is smaller than the size of spatial grids,the efficiency of the improved method can be more than four times of that of the original *** adaptive method of space partitioning based on the improved algorithm is developed by taking the surface element density or the curvature as the threshold for deep partitioning and conducting the deep partitioning using the octree method.A computer program implementation for applying the method in some typical applications is discussed,and the performance in terms of the efficiency,reliability,and resource use is *** testing shows that the results of the adaptive spacing partitioning are more convenient for the follow-up use than that of the basic uniform space ***,when it is used to calculate the electromagnetic scattering of complex targets by the ray tracing(RT)method,the adaptive space partitioning algorithm can reduce the calculation time of the RT process by more than 40%compared with the uniform space segmentation algorithm.
Non-rigid point cloud registration is a key component in many computer vision and computer graphics applications. The high complexity of the unknown non-rigid motion make this task a challenging problem. In this paper...
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ISBN:
(纸本)9781713871088
Non-rigid point cloud registration is a key component in many computer vision and computer graphics applications. The high complexity of the unknown non-rigid motion make this task a challenging problem. In this paper, we break down this problem via hierarchical motion decomposition. Our method called Neural Deformation Pyramid (NDP) represents non-rigid motion using a pyramid architecture. Each pyramid level, denoted by a Multi-Layer Perception (MLP), takes as input a sinusoidally encoded 3D point and outputs its motion increments from the previous level. The sinusoidal function starts with a low input frequency and gradually increases when the pyramid level goes down. This allows a multi-level rigid to non-rigid motion decomposition and also speeds up the solving by 50 times compared to the existing MLP-based approach. Our method achieves advanced partial-to-partial non-rigid point cloud registration results on the 4DMatch/4DLoMatch benchmark under both no-learned and supervised settings. Code is available at https://***/rabbityl/DeformationPyramid.
Precueing information about upcoming subtasks prior to performing them has the potential to make an entire task faster and easier to accomplish than cueing only the current subtask. Most AR and VR research on precuein...
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ISBN:
(纸本)9781665484022
Precueing information about upcoming subtasks prior to performing them has the potential to make an entire task faster and easier to accomplish than cueing only the current subtask. Most AR and VR research on precueing has addressed path-following tasks requiring simple actions at a series of locations, such as pushing a button or just visiting that location. We present a testbed for exploring multi-level precueing in a richer task that requires the user to move their hand between specified locations, transporting an object between some of them, and rotating it to a designated orientation.
In this study, we propose an approach to display a distortion-free mid-air image inside a transparent refractive object and on a curved reflective surface. We compensate for the distortion by generating a light source...
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ISBN:
(纸本)9781665496179
In this study, we propose an approach to display a distortion-free mid-air image inside a transparent refractive object and on a curved reflective surface. We compensate for the distortion by generating a light source image that cancels the distortions in the mid-air image caused by refraction and reflection. The light source image is generated via ray-tracing simulation by transmitting the desired view image to the mid-air imaging system, which includes distortive surfaces, and by receiving the transmitted image at the light source position. The proposed methods can be applied to dynamic images using a light source image as a UV map in texture mapping. Finally, we present the results of an evaluation of our method performed in an actual optical system using the generated light source image, which visually demonstrate the effectiveness of the proposed approach.
When creating 3D content, highly specialized skills are generally needed to design and generate models of objects and other assets by hand. We address this problem through high-quality 3D asset retrieval from multi-mo...
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ISBN:
(纸本)9781450394659
When creating 3D content, highly specialized skills are generally needed to design and generate models of objects and other assets by hand. We address this problem through high-quality 3D asset retrieval from multi-modal inputs, including 2D sketches, images and text. We use CLIP as it provides a bridge to higher-level latent features. We use these features to perform a multi-modality fusion to address the lack of artistic control that affects common data-driven approaches. Our approach allows for multi-modal conditional feature-driven retrieval through a 3D asset database, by utilizing a combination of input latent embeddings. We explore the effects of different combinations of feature embeddings across different input types and weighting methods.
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