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We describe an improvement to the recently developed view independent rendering (VIR), and apply it to dynamic cube-mapped reflections. Standard multiview rendering (MVR) renders a scene six times for each cube map. VIR traverses the geometry once per frame to generate a point cloud optimized to many cube maps, using it to render reflected views in parallel. Our improvement, eye-resolution point rendering (EPR), is faster than VIR and makes cube maps faster than MVR, with comparable visual quality. We are currently improving EPR’s run time by reducing point cloud size and per-point processing.
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UnityPIC: Unity Point-Cloud Interactive Core
In this work, we present Unity Point-Cloud Interactive Core, a novel interactive point cloud rendering pipeline for the Unity Development Platform. The goal of the proposed pipeline is to expedite the development process for point cloud applications by encapsulating the rendering process as a standalone component, while maintaining flexibility through an implementable interface. The proposed pipeline allows for rendering arbitrarily large point clouds with improved performance and visual quality. First, a novel dynamic batching scheme is proposed to address the adaptive point sizing problem for level-of-detail (LOD) point cloud structures. Then, an approximate rendering algorithm is proposed to reduce overdraw by minimizing the overall number of fragment operations through an intermediate occlusion culling pass. For the purpose of analysis, the visual quality of renderings is quantified and measured by comparing against a high-quality baseline. In the experiments, the proposed pipeline maintains above 90 FPS for a 20 million point budget while achieving greater than 90% visual quality during interaction when rendering a point-cloud with more than 20 billion points.
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- PAR ID:
- 10286826
- Editor(s):
- M. Hadwiger, M. Larsen
- Date Published:
- Journal Name:
- Parallel graphics and visualisation
- ISSN:
- 1727-348X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.2312/pgv20211044
