Sketch-based 3D scene retrieval is to retrieve 3D scene models given a user's hand-drawn 2D scene sketch. It is a brand new but also very challenging research topic in the field of 3D object retrieval due to the s...
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We present a voxel-based rendering pipeline for large 3D line sets that employs GPU ray-casting to achieve scalable rendering including transparency and global illumination effects that cannot be achieved with GPU ras...
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Quality assessment of different Magnetic Resonance Fingerprinting (MRF) sequences and their corresponding dictionaries remains an unsolved problem. In this work we present a method in which we approach analysis of MRF...
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Motion estimation and correction implementations are important components of medical image analysis. We present a new approach for motion estimation and correction of thermographic images in brain surgery. In a pre-pr...
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Dynamic modeling and simulation of the mooring system are the key technologies in anchor handling simulator(AHS).Built up the mooring line’s dynamics model based on lumped-mass method(LMM),and fourth-order Runge–Kut...
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Dynamic modeling and simulation of the mooring system are the key technologies in anchor handling simulator(AHS).Built up the mooring line’s dynamics model based on lumped-mass method(LMM),and fourth-order Runge–Kutta method was used to solve the model;because of the huge amounts of calculation in the model’s solving,the very time-consuming process brings great impact on the real-time,fidelity and immersed feeling in the anchor handling scene simulation,seriously hindered its application in AHS.A novel parallel algorithm was proposed to speed-up the model’s solving process by taking the advantages of graphic processing units(GPU’s)massive parallel computing and float point computing *** model’s solving process was implemented on vertex shader based on the transform feedback(TF)mechanism in modern *** results show that,the new algorithm reduced the calculating time largely without losing accuracy,and can finally realize the real-time solving and simulation.
computergraphics is a very active field, with new knowledge being published every day at a high rate. There is, therefore, some pressure to regularly review our teaching contents and adjust accordingly. Among the cou...
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The analysis of invasive team sports often concentrates on cooperative and competitive aspects of collective movement behavior. A main goal is the identification and explanation of strategies, and eventually the devel...
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ISBN:
(纸本)9781538691953
The analysis of invasive team sports often concentrates on cooperative and competitive aspects of collective movement behavior. A main goal is the identification and explanation of strategies, and eventually the development of new strategies. In visual sports analytics, a range of different visual-interactive analysis techniques have been proposed, e.g., based on visualization using for example trajectories, graphs, heatmaps, and animations. Identifying suitable visualizations for a specific situation is key to a successful analysis. Existing systems enable the interactive selection of different visualization facets to support the analysis process. However, an interactive selection of appropriate visualizations is a difficult, complex, and time-consuming task. In this paper, we propose a four-step analytics conceptual workflow for an automatic selection of appropriate views for key situations in soccer games. Our concept covers classification, specification, explanation, and alteration of match situations, effectively enabling the analysts to focus on important game situations and the determination of alternative moves. Combining abstract visualizations with real world video recordings by Immersive Visual Analytics and descriptive storylines, we support domain experts in understanding key situations. We demonstrate the usefulness of our proposed conceptual workflow via two proofs of concept and evaluate our system by comparing our results to manual video annotations by domain experts. Initial expert feedback shows that our proposed concept improves the understanding of competitive sports and leads to a more efficient data analysis.
This article presents a state-of-the-art overview on shape, information and design retrieval systems in the context of CAD engineering. In contrast to existing surveys, we classify the different approaches from a CAD ...
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Gamification is the use of game elements in a non-gaming environments. The aims of implementing game elements in gamifying educational environment is to make the learners engaged and motivated in the learning process....
Gamification is the use of game elements in a non-gaming environments. The aims of implementing game elements in gamifying educational environment is to make the learners engaged and motivated in the learning process. But, some of the research result giving bad impacts in implementing gamification in education. The objective of this research is to study the impact of implementing game elements in education. The aim of this research is to study which game elements is most commonly used in gamifying educational environment. The study is done by reviewing previous research on impacts of implementing game element in education from 2008 until 2018 to see whether the elements giving positive or negative impacts on education. The results shows the most common game elements used in gamification is rewards, feedback, challenge, quest/mission/goal, level/stage, point/score, avatars/players, task, character, time-limit, narrative/dialogue, leaderboards, progress bars, and badges. Majority of the research on gamification in education reports positive impacts by introducing gamification in education. In conclusion, by implementing game elements in the gamifying educational environment is a good method to create a good adjustment in learners' behavior and assertiveness in the learning process, it can develop engagement and motivation of the learners'.
Diffusion Tensor Imaging (DTI) group studies often require the comparison of two groups of 3D diffusion tensor fields. The total number of datasets involved in the study and the multivariate nature of diffusion tensor...
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