The proceedings contain 28 papers. The topics discussed include: Stevens dot patterns for 2D flow visualization;minification influences spatial judgments in virtual environments;updating orientation in large virtual e...
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ISBN:
(纸本)1595934294
The proceedings contain 28 papers. The topics discussed include: Stevens dot patterns for 2D flow visualization;minification influences spatial judgments in virtual environments;updating orientation in large virtual environments using scaled translational gain;discrimination and estimation of time-to-contact for approaching traffic using a desktop environment;categorization of natural scenes: local vs. global information;evaluation of supra-threshold perceptual metrics for 3D models;perception of image motion during head movement;a comparison of immersive HMD, fish tank VR and fish tank with haptics displays for volume visualization;large displays enhance spatial knowledge of a virtual environment;color perception of 3D objects: constancy with respect to variation of surface gloss;contrast enhancement of images using human contrast sensitivity;semantic 3D motion retargeting for facial animation;and the evaluation of stylized facial expressions.
In this paper we present a volumetric lighting model, which simulates scattering as well as shadowing in order to generate high quality volume renderings. By approximating light transport in inhomogeneous participatin...
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ISBN:
(纸本)9781424466856;9781424466849
In this paper we present a volumetric lighting model, which simulates scattering as well as shadowing in order to generate high quality volume renderings. By approximating light transport in inhomogeneous participating media, we are able to come up with an efficient GPU implementation, in order to achieve the desired effects at interactive frame rates. Moreover, in many cases the frame rates are even higher as those achieved with conventional gradient-based shading. To evaluate the impact of the proposed illumination model on the spatial comprehension of volumetric objects, we have conducted a user study, in which the participants had to perform depth perception tasks. The results of this study show, that depth perception is significantly improved when comparing our illumination model to conventional gradient-based volume shading. Additionally, since our volumetric illumination model is not based on gradient calculation, it is also less sensitive to noise and therefore also applicable to imaging modalities incorporating a higher degree of noise, as for instance magnet resonance tomography or 3D ultrasound.
Images of everyday scenes are frequently used as input for texturing 3D models in computer graphics. Such images include both the texture desired and other extraneous information. In our previous work [Lu et al. 2009]...
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Texture fractalization is used in many existing approaches to ensure the temporal coherence of a stylized animation. This paper presents the results of a psychological user-study evaluating the relative distortion ind...
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We present a user study quantifying the effectiveness of Scaled Data-Driven Spheres (SDDS), a multivariate three-dimensional data set visualization technique. The user study compares SDDS, which uses separate sets of ...
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In this paper, we present a perceptual experiment whose results aid the creation of non-photorealistic rendering (NPR) styles which can positively affect user task performance in real-time scenes. In a visual search t...
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In our research we are interested in human sensitivity to differences in animal gaits. We use point light walkers as stimuli, and follow up with a study using a realistic 3D model. Previously it has been shown that hu...
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Understanding how humans perceive their rate of translational locomotion through the world is important for designing virtual environments. People have access to two primary classes of cues that can provide informatio...
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In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization techniques: first to handle the large dat...
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ISBN:
(纸本)9781424444045
In this paper, we propose a stochastic simulation to model and analyze cellular signal transduction. The high number of objects in a simulation requires advanced visualization techniques: first to handle the large data sets, second to Support the human perception in the crowded environment, and third to provide an interactive exploration tool. To adjust the state of the cell to ail external signal, a specific set of signaling molecules transports the information to the nucleus deep inside the cell. There, key molecules regulate gene expression. Ill contrast to continuous ODE models we model all signaling molecules individually in a more realistic crowded and disordered environment. Beyond spatiotemporal concentration profiles our data describes the process on a mesoscopic, molecular level, allowing a detailed view of intracellular events. In Our proposed schematic visualization individual molecules, their tracks, or reactions can be selected and brought into focus to highlight the signal transduction pathway. Segmentation, depth cues and depth of field are applied to reduce the visual complexity. We also provide a virtual microscope to display images for comparison with wet lab experiments. The method is applied to distinguish different transport modes of MAPK (mitogen-activated protein kinase) signaling molecules in a cell. In addition, we simulate the diffusion of drug molecules through the extracellular space of a solid tumor and visualize the challenges in cancer related therapeutic drug delivery.
Research in the perception of depth in augmented and virtual reality has reported a consistent underestimation of egocentric depth with regard to stationary objects located along the ground plane. However, there has b...
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