Citation Link: https://doi.org/10.1007/s00371-023-02888-w
Hashed, binned A-buffer for real-time outlier removal and rendering of noisy point clouds
Publication Type
Article
Author(s)
Subjects
Rendering (computer graphics)
Computer science
Outlier
Point cloud
Computer vision
Artificial intelligence
Bin
Alternate frame rendering
Computer graphics (images)
Computer graphics
Software rendering
Algorithm
3D computer graphics
Date Issued
2023
Abstract
Typical point-based rendering algorithms cannot directly handle large outliers or high amounts of noise without either a costly pre-processing of the point cloud or using multiple render passes. In this paper, we propose an A-buffer-based approach that directly renders unprocessed point clouds and filters out outliers in real time, without introducing additional render passes. The core concept of our approach uses bins along each pixel ray in which intermediate information is accumulated. To improve storage efficiency, we extend the binned A-buffer approach using per-ray bin hashing. Our method significantly improves visual quality when rendering noisy point clouds with varying noise levels and large outliers, while only requiring little performance and memory overhead compared to traditional point rendering methods.
Owning collection