A premixed autostereoscopic OptiX-based volume rendering

Battin, Benjamin; Valette, Gilles; Lehuraux, J.; Rémion, Yannick; Lucas, Laurent

doi:10.1109/ic3d.2015.7391834

Cited by 2 publications

(2 citation statements)

References 12 publications

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“…The first is a 2D rendering virtual microscope with a navigation through an image stack [28] that provides easy access to high-resolution images. The second is a GPU-based volume ray casting [5]. Furthermore, to test our system with on-demand processing, we offer a convolutional image processing algorithm.…”

Section: Discussionmentioning

confidence: 99%

Interactive Visualization and On-Demand Processing of Large Volume Data: A Fully GPU-Based Out-of-Core Approach

Sarton

Courilleau

Rémion

et al. 2020

IEEE Trans. Visual. Comput. Graphics

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In a wide range of scientific fields, 3D datasets production capabilities have widely evolved in recent years, especially with the rapid increase in their sizes. As a result, many large-scale applications, including visualization or processing, have become challenging to address. A solution to this issue lies in providing out-of-core algorithms specifically designed to handle datasets significantly larger than memory. In this article, we present a new approach that extends the broad interactive addressing principles already established in the field of out-of-core volume rendering on GPUs to allow on-demand processing during the visualization stage. We propose a pipeline designed to manage data as regular 3D grids regardless of the underlying application. It relies on a caching approach with a virtual memory addressing system coupled to an efficient parallel management on GPU to provide efficient access to data in interactive time. It allows any visualization or processing application to leverage the flexibility of its structure by managing multi-modality datasets. Furthermore, we show that our system delivers good performance on a single standard PC with low memory budget on the GPU.

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Section: Discussionmentioning

confidence: 99%

Interactive Visualization and On-Demand Processing of Large Volume Data: A Fully GPU-Based Out-of-Core Approach

Sarton

Courilleau

Rémion

et al. 2020

IEEE Trans. Visual. Comput. Graphics

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“…The common image-based rendering methods for SMV displays are volume rendering and light field rendering. Volume rendering based on the ray-casting technique [10] has the same problem as the BRT method. Light field rendering for SMV requires considerable graphics memory, so it is impractical for rendering a large virtual scene in real time.…”

Section: B Image-based Rendering Methodsmentioning

confidence: 99%

A Real-Time Super Multiview Rendering Pipeline for Wide Viewing-Angle and High-Resolution 3D Displays Based on a Hybrid Rendering Technique

et al. 2020

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Super multiview (SMV) 3D displays with a directional diffuser can provide dense viewpoints, wide viewing angles and high image quality. However, traditional SMV 3D rendering pipelines have many disadvantages, such as high time costs, low image quality, incorrect lighting effects and limited viewing angles. To overcome the abovementioned drawbacks, we propose a new SMV 3D rendering pipeline based on a hybrid rendering technique (HRT) that effectively combines and improves the Turing multiview rendering technique, the multiple view plus depth (MVD) technique and the deferred shading technique, introducing additional normal information, diffuseness information and shininess information into the SMV 3D rendering pipeline. The SMV HRT pipeline can generate SMV 3D images with accurate lighting in real time when the viewpoint number of an SMV 3D display is greater than 50, the viewing angle is greater than 100 degrees, the resolution of a single viewpoint image is more than 512 * 512 and the resolution of the LCD panel is 7680 * 4320; in particular, complex scenes can be generated in real time. The proposed HRT pipeline is the only viable real-time rendering pipeline with accurate lighting effects for super multiview 3D displays with wide viewing angle and high resolution that runs on a common PC with standard graphics hardware. An 8k SMV 3D display with an 80 • viewing angle and 100 viewpoints is applied to demonstrate the validity of the HRT method in experiments. When the number of reference views is four, the experimental results show that the rendering frame rate is more than 35 fps on average for complex virtual scenes, and the peak signal-to-noise ratio (PSNR) value of the HRT is greater than 36 dB, illustrating its high image quality and accurate lighting. Compared with state-of-the-art MVD methods, HRT processes more lighting information and is more suitable for virtual scene rendering. Therefore, the HRT method has advantages regarding the image quality of the reconstructed 3D image and can easily achieve real-time rendering for SMV 3D displays with wide viewing angles.INDEX TERMS 3D display, super multiview display, real-time rendering, wide viewing angle, computer-generated 3D image.

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A premixed autostereoscopic OptiX-based volume rendering

Cited by 2 publications

References 12 publications

Interactive Visualization and On-Demand Processing of Large Volume Data: A Fully GPU-Based Out-of-Core Approach

Interactive Visualization and On-Demand Processing of Large Volume Data: A Fully GPU-Based Out-of-Core Approach

A Real-Time Super Multiview Rendering Pipeline for Wide Viewing-Angle and High-Resolution 3D Displays Based on a Hybrid Rendering Technique

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