Speeding up rendering of hybrid surface and volume models

Hybrid rendering of volume and polygonal model is an interesting feature of visualization systems, since it helps users to better understand the relationships between internal structures of the volume and fitted surfaces as well as external surfaces. Most of the existing bibliography focuses at the problem of correctly integrating in depth both types of information. The rendering method proposed in this paper is built on these previous results. It is aimed at solving a different problem: how to efficiently access to selected information of a hybrid model. We propose to construct a decision tree (the Rendering Decision Tree), which together with an auxiliary run-length representation of the model avoids visiting unselected surfaces and internal regions during a traversal of the model.Postprint (published version

Computer generation and rendering of terrain

Computer Generation and Rendering of Terrain explores different techniques that are currently used in computer science to generate terrain data. Also explored are some techniques for rendering the terrain on a computer display. A new three step technique for the generation of terrain that is based on geometric characteristics is presented, as is a hybrid rendering technique

Hybrid Rendering: Enabling Interactivity in a Distributed Post-Processing Environment

The ever increasing compute capacity of high performance computing (HPC) systems enables scientists to simulate and explore physical phenomena with an enormous spatial and temporal accuracy. On the other hand, this accuracy leads to datasets of many terabytes, petabytes, and even exabytes envisioning the up- coming exascale area projected for 2018. To understand complex physical coherences behind such a simulation, an efficient analysis and visualization is essential but also difficult, since the challenges concern all stages of the visual- ization pipeline. With this presentation we set the focus on distributed and hybrid rendering

Hybrid rendering of exploded views for medical image atlas visualization

Medical image atlases contain much information about human anatomy, but learning the shapes of anatomical regions and making sense of the overall structure defined in the atlas can be problematic. Atlases may contain hundreds of regions with complex shapes which can be tightly packed together. This makes visualisation difficult since the shapes can fit together in complex ways and visually obscure each other. In this work, we describe a technique which enables interactive exploration of medical image atlases that permits the hierarchical structure of the atlas and the content of an underlying medical image to be investigated simultaneously. Our method enables a user to create visualizations of the atlas similar to the exploded views used in technical illustrations to show the structure of mechanical assemblies. These views are constrained by the geometry of the atlas and the hierarchical structure to reduce the complexity of user interaction. We also enable the user to explode the atlas meshes themselves. The atlas meshes are registered with a medical image which is displayed on the cut surfaces of the meshes using raycasting. Results from the AAL human brain atlas are presented and discussed

Realtime projective multi-texturing of pointclouds and meshes for a realistic street-view web navigation

International audienceStreet-view web applications have now gained widespread popularity. Targeting the general public, they offer ease of use, but while they allow efficient navigation from a pedestrian level, the immersive quality of such renderings is still low. The user is usually stuck at specific positions and transitions bring out artefacts, in particular parallax and aliasing. We propose a method to enhance the realism of street view navigation systems using a hybrid rendering based on realtime projective texturing on meshes and pointclouds with occlusion handling, requiring extremely minimized pre-processing steps allowing fast data update, progressive streaming (mesh-based approximation, with point cloud details) and unaltered raw data precise visualization

A Fast hierarchical traversal strategy for multimodal visualization

In the last years there is a growing demand of multimodal medical rendering systems able to visualize simultaneously data coming from different sources. This paper addresses the Direct Volume Rendering (DVR) of aligned multimodal data in medical applications. Specifically, it proposes a hierarchical representation of the multimodal data set based on the construction of a Fusion Decision Tree (FDT) that, together with a run-length encoding of the non-empty data, provides means of efficiently accessing to the data. Three different implementations of these structures are proposed. The simulations results show that the traversal of the data is fast and that the method is suitable when interactive modifications of the fusion parameters are required.Postprint (published version

Image Upscaling for High Resolution Screencasting

This disclosure describes techniques for power efficient screencasting of high resolution content. Per techniques of this disclosure, a mobile device is coupled to a high-resolution display to which the mobile device screencasts content. The mobile device performs low resolution rendering of content. The content is upscaled at the mobile device prior to transmission to the high-resolution display or can be upscaled at the high-resolution display. The upscaling can be performed by a machine learning-based image upscaler that is suitable for real-time processing. Operations such as ray tracing and variable rate shading are performed by the mobile device at a lower resolution than that of the high-resolution display, thereby enabling lower power consumption. Further, adaptive hybrid rendering can be utilized whereby ray tracing is performed only for specific surfaces such as shadows, reflective puddles, and metalwork while other geometric surfaces use traditional rasterization techniques. Capabilities of the high-resolution display can be verified as part of an initial capability negotiation at the time of connection setup. The described upscaling techniques can also be used in other use cases such as video recording, video conference, connecting a smartphone to an auxiliary display in a car, etc