An Anti-aliasing Technique for Voxel-Based Massive Model Visualization Strategies

Wagner, Gustavo; Raposo, Alberto; Gattass, Marcelo

doi:10.1007/978-3-540-76858-6_29

Cited by 4 publications

(5 citation statements)

References 9 publications

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“…The resulting aliasing artefacts are especially apparent at lower levels of detail. These artefacts could be alleviated by using semi‐transparent voxels [WRG07].…”

Section: Resultsmentioning

confidence: 99%

Interactive Ray Tracing of Large Models Using Voxel Hierarchies

Áfra

2012

Computer Graphics Forum

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We propose an efficient approach for interactive visualization of massive models with CPU ray tracing. A voxelbased hierarchical level-of-detail (LOD) framework is employed to minimize rendering time and required system memory. In a pre-processing phase, a compressed out-of-core data structure is constructed, which contains the original primitives of the model and the LOD voxels, organized into a kd-tree. During rendering, data is loaded asynchronously to ensure a smooth inspection of the model regardless of the available I/O bandwidth. With our technique, we are able to explore data sets consisting of hundreds of millions of triangles in real-time on a desktop PC with a quad-core CPU.

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“…The resulting aliasing artefacts are especially apparent at lower levels of detail. These artefacts could be alleviated by using semi‐transparent voxels [WRG07].…”

Section: Resultsmentioning

confidence: 99%

Interactive Ray Tracing of Large Models Using Voxel Hierarchies

Áfra

2012

Computer Graphics Forum

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“…The performance of such approach was demonstrated on extremely complex heterogeneous surface models. With some modifications [7], it fairly represents small or thin CAD models of hundreds of millions of triangles, which is especially visible during transitions between different levels of detail.…”

Section: Voxel Model Visualisationmentioning

confidence: 99%

“…The visualization of voxel models has been intensively studied recently [4,5,6,7,8,9,10]. Multiple approaches has been proposed to improve the visualization performance.…”

Section: Introductionmentioning

confidence: 99%

Semantic 3D Reconstruction of a Scene and Its Effective Visualisation

Kniaz

Moshkantsev

Bordodymov

et al. 2022

Proceedings of the 32nd International Conference on Computer Graphics and Vision

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Single-image 3D scene reconstruction is required in multiple challenging tasks including mobile robotics, industrial monitoring and reconstruction of lost cultural heritage. While modern models demonstrate robust resolution of scene in real time with resolution up to 128 x 128 x 128 voxels, visualization of such detailed of a such detailed voxel model is challenging. A model with 128<sup>3</sup> voxels contains 2097152 simple cubes 16M vertices. It is unfeasible for modern hardware to perform visualization of such voxel models in real-time. Hence a voxel model simplification technique is required to demonstrate reconstruction results in real-time. In this paper, we propose a new algorithm for voxel model simplification using predefined camera views. The algorithm reduces a rigid-body voxel model to a shell voxel model. It keeps only the voxels that are visible from the required view. We demonstrate the effectiveness of the proposed algorithm using a case study with a mobile robot and a state-of-the-art SSZ single-photo 3D reconstruction neural network. We generated a real and a virtual scene with various objects including a statue. We use a mobile robot equipped with a single camera to collect real and synthetic data. We train the SSZ model using the collected data. We developed a dedicated visualization software that implements our algorithm. The comparison of the visualization performance for the full model and its reduced version demonstrates that our algorithm allows to increase the performance by 420 times.

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“…Environ, SiVIEP, and other challenges brought by the industry constitute the basis for our research and development efforts in many related areas, such as: new rendering algorithms for massive models [3], integration with information systems [4], GPU programming [5] and frameworks for applications development [6].…”

Section: A Virtual and Augmented Realitymentioning

confidence: 99%