Adaptive sampling approach for volumetric shadows in dynamic scenes

Lin, Hsiang Yu; Chang, Chin Chen; Tsai, Yu Ting; Way, Der Lor; Shih, Zen-Chung

doi:10.1049/iet-ipr.2013.0067

Cited by 3 publications

(3 citation statements)

References 18 publications

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“…The volumetric light was the same as obtaining 2D medical images from 3D magnetic resonance(MRI) or computed tomography (CT) data. The primary previous studies on volumetric light were found in References [14][15][16][17][18][19]. Later improvement was proposed by volumetric shadow method, which can be combined with epipolar sampling for further acceleration.…”

Section: Plos Onementioning

confidence: 99%

Adaptive volumetric light and atmospheric scattering

et al. 2020

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An adaptive sampling-based atmospheric scattering and volumetric light framework for flight simulator (FS) is proposed to enhance the immersion and realism in real-time. The framework comprises epipolar sampling (ES), visible factor culling (VFC), interactive participating media density estimating (IPMDE). The main process of proposed architecture is as follows: the scene is divided into two levels according to the distance from the camera. In the high-level pipeline, the layer close to the camera, more samples, and smaller sampling step size is used to improve image quality. Further, the IPMDE method is designed to enhance realism by achieving interactivity with the participating media and multiple light sources. Further optimization is performed by the lookup table and 3D volumetric textures, by which we can compute the density of participating media and the scattering coefficient in parallel. In the low-level pipeline, when the samples are far away from the camera, its influence on the final output is also reduced, which results in fewer samples and a bigger sampling step size. The improved ES method further reduces the number of samples involved in ray marching using the features of epipolar geometry. It then generates global light effects and shadows of distant terrain. The VFC method uses an acceleration structure to quickly find the lit segments which eliminate samples blocked by obstacles. The experimental results demonstrate our architecture achieves a better sense of reality in real-time and is very suitable for FS.

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Section: Plos Onementioning

confidence: 99%

Adaptive volumetric light and atmospheric scattering

et al. 2020

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“…Lin H. et al, [ 21 ] proposed a method to reduce the number of sample points for generating volumetric shadows in dynamic scenes. This method based on decision whether a pixel should be re-computed or used the information from previous frame.…”

Section: Related Workmentioning

confidence: 99%

Soft bilateral filtering volumetric shadows using cube shadow maps

2017

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Volumetric shadows often increase the realism of rendered scenes in computer graphics. Typical volumetric shadows techniques do not provide a smooth transition effect in real-time with conservation on crispness of boundaries. This research presents a new technique for generating high quality volumetric shadows by sampling and interpolation. Contrary to conventional ray marching method, which requires extensive time, this proposed technique adopts downsampling in calculating ray marching. Furthermore, light scattering is computed in High Dynamic Range buffer to generate tone mapping. The bilateral interpolation is used along a view rays to smooth transition of volumetric shadows with respect to preserving-edges. In addition, this technique applied a cube shadow map to create multiple shadows. The contribution of this technique isreducing the number of sample points in evaluating light scattering and then introducing bilateral interpolation to improve volumetric shadows. This contribution is done by removing the inherent deficiencies significantly in shadow maps. This technique allows obtaining soft marvelous volumetric shadows, having a good performance and high quality, which show its potential for interactive applications.

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“…Ray marching method is most common than other proposed techniques that uses to generate light scattering. This method is computed light scattering by evaluating all points of the light source along view ray until up to the viewer Lin, et al [21]. Therefore, several of methods have adopted this concept by using a trick to reduce of sample points along view rays to evaluate all points that potential seen from light source.…”

Section: Introductionmentioning

confidence: 99%