Multi-Window 3D Interaction for Collaborative Virtual Reality

Kunert, André; Weißker, Tim; Froehlich, Bernd; Kulik, Аlexander

doi:10.1109/tvcg.2019.2914677

Cited by 26 publications

(22 citation statements)

References 45 publications

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“…e worst performance is the method proposed in reference [5]. e performance of the method proposed in reference [6] is better than that in reference [5], but worse than that in this paper. With the gradual increase of the number of systems, the evaluation time of the three methods are increased, and the improved range of the evaluation time of the proposed method is the smallest.…”

Section: Experimental Results and Analysiscontrasting

confidence: 56%

“…In order to verify the evaluation efficiency of this method, the performance evaluation of landscape simulation system of 100 landscape architecture engineering companies is carried out by using methods and reference [5] and reference [6]. Among them, reference [5] proposed a scheme to reconstruct the landscape by the virtual reality technology, and reference [6] is a novel collaborative virtual reality system, which can offer multiple immersive 3D views at large 3D scenes.…”

Section: Experimental Results and Analysismentioning

confidence: 99%

“…It is extremely important for interior landscape design to show all-round, real and even dynamic design works, so as to accurately show the design ideas of interior designers [4,5]. Most of the existing interior landscape designs use two-dimensional drawing, and most of the software is developed on a third-party platform [6,7].…”

Section: Introductionmentioning

confidence: 99%

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Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

Zhan

2021

Security and Communication Networks

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In order to improve the accuracy and efficiency of performance evaluation, the interactive application of virtual reality and intelligent big data in landscape design is proposed. Clara algorithm is used to mine the performance evaluation index data of landscape simulation design. The performance evaluation index system of landscape simulation system is established based on the data mined. BP network is used to build a comprehensive evaluation model. The expert scoring method is the evaluation index system scoring, which is used as the input of BP network, and the expected output is a neuron. The value of the neuron represents the comprehensive performance evaluation value of the landscape simulation system. The experimental results show that the evaluation results of the research method are consistent with the expert evaluation results, with high accuracy; with the increasing number of systems, the evaluation efficiency of the research method is faster.

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Section: Experimental Results and Analysiscontrasting

confidence: 56%

Section: Experimental Results and Analysismentioning

confidence: 99%

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Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

Zhan

2021

Security and Communication Networks

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“…Moreover, the 5G and beyond UE may take diverse forms. For example, wearable devices such as virtual reality and mixed reality devices [171], [172], satellite communications (other than GNSS) supported devices, can be shaped and enhanced by 5G and beyond technologies.…”

Section: New and Future Trends In Wireless Ue Designmentioning

confidence: 99%

Enabling Multi-Functional 5G and Beyond User Equipment: A Survey and Tutorial

Huo

Dong

et al. 2019

IEEE Access

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The fifth generation (5G) research and development has been fueled by many new breakthroughs in various areas. The recent progress in carrier aggregation (CA), licensed assisted access (LAA), massive MIMO (MaMi), beamforming techniques, cooperative spectrum sensing (CSS), compressive sensing (CS), machine learning, etc., has provided inspiring and promising approaches to address 5G and beyond challenges. However, at the user equipment (UE) end, limited design budget and hardware resources bring along a series of challenging implementation issues when delivering multi-standard and multi-functional wireless communications. In this paper, we first review recent advances in technical standards and critical enabling techniques, accompanied with several case studies of product developments. After the classification of typical 5G application and deployment scenarios, we propose and analyze a novel hardware reuse and multiplexing solution to facilitate cost-effective and energy-efficient UE design, followed by an investigation of state-of-the-art hardware development from the systems and circuits standpoint. Moreover, wireless UE hardware solutions, UE proof-of-concept (PoC) implementation and field test are proposed and discussed. Finally, the new trends of UE design and terahertz technologies for 5G and beyond applications are investigated and envisioned. LNA

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“…Hsu et al [21] developed a VR system that allows multiple design stakeholders to discuss about an architectural model in VR and modify the geometry during discussion using mid-air sketching as well as on-surface sketching in the virtual environment. Other examples of collaborative evaluation and modeling for architectural and design applications within VR can be seen in the work of [17,26,30].…”

Section: Introductionmentioning

confidence: 99%

V-Dream: Immersive Exploration of Generative Design Solution Space

Keshavarzi¹,

Bidgoli²,

Kellner³

2020

Preprint

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Generative Design workflows have introduced alternative paradigms in the domain of computational design, allowing designers to generate large pools of valid solutions by defining a set of goals and constraints. However, analyzing and narrowing down the generated solution space, which usually consists of various high-dimensional properties, has been a major challenge in current generative workflows. By taking advantage of the interactive unbounded spatial exploration, and the visual immersion offered in virtual reality platforms, we propose V-Dream, a virtual reality generative analysis framework for exploring large-scale solution spaces. V-Dream proposes a hybrid search workflow in which a spatial stochastic search approach is combined with a recommender system allowing users to pick desired candidates and eliminate the undesired ones iteratively. In each cycle, V-Dream reorganizes the remaining options in clusters based on the defined features. Moreover, our framework allows users to inspect design solutions and evaluate their performance metrics in various hierarchical levels, assisting them in narrowing down the solution space through iterative cycles of search/select/re-clustering of the solutions in an immersive fashion. Finally, we present a prototype of our proposed framework, illustrating how users can navigate and narrow down desired solutions from a pool of over 16000 monitor stands generated by Autodesk's Dreamcatcher software.

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Multi-Window 3D Interaction for Collaborative Virtual Reality

Cited by 26 publications

References 45 publications

Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

Interactive Application of Virtual Reality and Intelligent Big Data in Landscape Design

Enabling Multi-Functional 5G and Beyond User Equipment: A Survey and Tutorial

V-Dream: Immersive Exploration of Generative Design Solution Space

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