Referencing objects of interest is a common requirement in many collaborative tasks. Nonetheless, accurate object referencing at a distance can be challenging due to the reduced visibility of the objects or the collab...
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Referencing objects of interest is a common requirement in many collaborative tasks. Nonetheless, accurate object referencing at a distance can be challenging due to the reduced visibility of the objects or the collaborator and limited communication medium. Augmented Reality (AR) may help address the issues by providing virtual pointing rays to the target of common interest. However, such pointing ray techniques can face critical limitations in large outdoor spaces, especially when the environment model is unavailable. In this work, we evaluated two pointing ray techniques for distant object referencing in model-free AR from the literature: the Double Ray technique enhancing visual matching between rays and targets, and the parallel Bars technique providing artificial orientation cues. Our experiment in outdoor AR involving participants as pointers and observers partially replicated results from a previous study that only evaluated observers in simulated AR. We found that while the effectiveness of the Double Ray technique is reduced with the additional workload for the pointer and human pointing errors, it is still beneficial for distant object referencing.
The proceedings contain 26 papers. The topics discussed include: understanding people’s needs in viewing diverse social opinions about controversial topics;a study of zooming, interactive lenses and overview+detail t...
ISBN:
(纸本)9798350321241
The proceedings contain 26 papers. The topics discussed include: understanding people’s needs in viewing diverse social opinions about controversial topics;a study of zooming, interactive lenses and overview+detail techniques in collaborative map-based tasks;parallel assemblies plot, a visualization tool to explore categorical and quantitative data: application to digital mobility outcomes;an empirical guide for visualization consistency in multiple coordinated views;visualizing interaction networks and evidence in biomedical corpora;efficient raycasting of volumetric depth images for remote visualization of large volumes at high frame rates;investigating animal infectious diseases with visual analytics;interactive transformations and visual assessment of noisy event sequences: an application in en-route air traffic control;and a visual analytics inspired approach to correlate and understand multiple mechanical tensor fields.
In parallel ray tracing, techniques fall into one of two camps: imageparallel techniques aim at increasing frame rate by replicating scene data across nodes and splitting the rendering work across different ranks, and...
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ISBN:
(数字)9781665491563
ISBN:
(纸本)9781665491563
In parallel ray tracing, techniques fall into one of two camps: imageparallel techniques aim at increasing frame rate by replicating scene data across nodes and splitting the rendering work across different ranks, and data-parallel techniques aim at increasing the size of the model that can be rendered by splitting the model across multiple ranks, but typically cannot scale much in frame rate. We propose and evaluate a hybrid approach that combines the advantages of both by splitting a set of N x M ranks into M islands of N ranks each and using data-parallel rendering within each island and image parallelism across islands. We discuss the integration of this concept into four wildly different parallel renderers and evaluate the efficacy of this approach based on multiple different data sets.
Prior studies suggest that emotional empathy is one of the components of intercultural sensitivity - the affective dimension under the concept of intercultural communication competence. Based on existing theories and ...
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Prior studies suggest that emotional empathy is one of the components of intercultural sensitivity - the affective dimension under the concept of intercultural communication competence. Based on existing theories and findings, this paper reports a randomised parallel longitudinal study investigating the use of virtual reality (VR) exposure to enhance intercultural sensitivity. A total of 80 participants (36 females and 44 males) joined the study and were included in the data analysis. The participants were randomly assigned to the VR group, the video group, and the control group. Their intercultural sensitivity was measured three times: one week before the exposure (T-1), right after the exposure (T-2), and three weeks after the exposure (T-3). The results suggested that (1) the intercultural sensitivity of the VR group was significantly enhanced in both within-subject comparisons and between-subject comparisons, (2) there were no significant differences in intercultural sensitivity between the VR group and the video group at T-2, but the VR group retained the enhancement better at T-3, and (3) the sense of presence and emotional empathy well predicted the change in intercultural sensitivity of the VR group. The results, together with the participants' feedback and comments, provide new insights into the practice of using VR for intercultural sensitivity training and encourage future research on exploring the contributing factors of the results.
Scientific datasets are often analyzed and visualized using iso-surfaces. The connected components at or above the isovalue defining these isosurfaces are called superlevel-set components. The vertex set of these supe...
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ISBN:
(纸本)9781665423359
Scientific datasets are often analyzed and visualized using iso-surfaces. The connected components at or above the isovalue defining these isosurfaces are called superlevel-set components. The vertex set of these superlevel-set components can be used to compute local statistics, such as mean temperature or histogram per component, or to segment the data. However, in datasets produced by acquisition devices or simulations, noise induces many spurious components that clutter the visualization and analysis results. Many of these spurious components would disappear if the data values were slightly adjusted. The notion of persistence captures the stability of a component with respect to function value changes, and so we are interested in computing persistence quickly. Locality of computation is critical for parallel scalability, minimization of communication in a distributed environment, or an out-of-core processing. The recently introduced merge forest attained high performance by exploiting locality, thereby avoiding communication until needed to resolve a feature query. We extend the merge forest to support persistence-based queries and study the locality of these queries by evaluating the traversals of regions of data during a query. We confirm that the majority of evaluated datasets have the property that the noise is mostly local, and thus can be efficiently eliminated without performing a global analysis. Finally, we compare the query running times with those of a triplet merge tree because a triplet merge tree answers all proposed queries in constant time and can be constructed from a merge tree in linear time.
Undergraduate algorithms courses are a natural setting for teaching many of the theoretical ideas of parallel computing. Mergesort is a fundamental sequential divide-and-conquer algorithm often analyzed in such course...
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ISBN:
(数字)9798350364606
ISBN:
(纸本)9798350364613
Undergraduate algorithms courses are a natural setting for teaching many of the theoretical ideas of parallel computing. Mergesort is a fundamental sequential divide-and-conquer algorithm often analyzed in such courses. In this work, we present a visualization tool to help demonstrate a novel PRAM algorithm for mergesort that is work efficient and has polylogarithmic span. Our implementation uses the Thread -Safe graphics Library, which has an existing visualization of parallel mergesort. We demonstrate that our proposed algorithm has better work and span than the one currently visualized.
We propose and discuss a paradigm that allows for expressing data-parallel rendering with the classically non-parallel ANARI API. We propose this as a new standard for data-parallel rendering, describe two different i...
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ISBN:
(数字)9798331516925
ISBN:
(纸本)9798331516932
We propose and discuss a paradigm that allows for expressing data-parallel rendering with the classically non-parallel ANARI API. We propose this as a new standard for data-parallel rendering, describe two different implementations of this paradigm, and use multiple sample integrations into existing applications to show how easy it is to adopt, and what can be gained from doing so.
visualizations of large-scale data sets are often created on graphics clusters that distribute the rendering task amongst many processes. When using real-time GPU-based graphics algorithms, the most time-consuming asp...
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ISBN:
(纸本)9781665432832
visualizations of large-scale data sets are often created on graphics clusters that distribute the rendering task amongst many processes. When using real-time GPU-based graphics algorithms, the most time-consuming aspect of distributed rendering is typically the compositing phase - combining all partial images from each rendering process into the final visualization. Compositing requires image data to be copied off the GPU and sent over a network to other processes. While compression has been utilized in existing distributed rendering compositors to reduce the data being sent over the network, this compression tends to occur after the raw images are transferred from the GPU to main memory. In this paper, we present work that leverages OpenGL / CUDA interoperability to compress raw images on the GPU prior to transferring the data to main memory. This approach can significantly reduce the device-to-host data transfer time, thus enabling more efficient compositing of images generated by distributed rendering applications.
Spatial graph embedding is a technique for placing graphs in space used for visualization and graph analytics. The general goal is to place connected nodes close together while spreading apart all others. Previous wor...
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ISBN:
(纸本)9781665435772
Spatial graph embedding is a technique for placing graphs in space used for visualization and graph analytics. The general goal is to place connected nodes close together while spreading apart all others. Previous work has looked at spatial graph embedding in 2 or 3 dimensions. These used high performance libraries and fast algorithms for N-body simulation. We expand into higher dimensions to find what it can be useful for. Using an arbitrary number of dimensions allows all unweighted graph to have exact edge lengths, as n nodes can all be one distance part in a n - 1 dimensional simplex. This increases the complexity of the simulation, so we provide an efficient GPU implementation in high dimensions. Although high dimensional embeddings cannot be easily visualized they find a consistent structure which can be used for graph analytics. Problems this has been used to solve are graph isomorphism and graph coloring.
Physical based rendering is widely applied in diverse fields requiring realistic scene visualization. This paper outlines our efforts in implementing a high-performance and highly scalable physical based rendering fra...
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ISBN:
(数字)9798350387117
ISBN:
(纸本)9798350387124
Physical based rendering is widely applied in diverse fields requiring realistic scene visualization. This paper outlines our efforts in implementing a high-performance and highly scalable physical based rendering framework on the next-generation Sunway supercomputer based on PBRT. To effectively tailor the rendering application to the hardware attributes of the state-of-the-art architecture, we primarily carried out four approaches, 1) a memory management strategy, 2) a solution for runtime polymorphism, 3) measures to mitigate instruction cache misses, and 4) a two level load balancing strategy. Our design can achieve at most 41.95x speedup relative to baseline implementation. By using 32 Sunway processors, we can achieve at most 27.97x speedup relative to a 40-core 5218R CPU and at most 6.90x speedup relative to a RTX 3090 GPU. Nearly linear scalabilities are obtained when scaling up to 2,048 Sunway processors.
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