Learning Digital Terrain Models From Point Clouds: ALS2DTM Dataset and Rasterization-Based GAN
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2022.3182030
Abstract: Despite the popularity of deep neural networks in various domains, the extraction of digital terrain models (DTMs) from airborne laser scanning (ALS) point clouds is still challenging. This might be due to the lack of… read more here.
Keywords: point clouds; als point; terrain models; digital terrain ... See more keywords
Efficient Direct Isosurface Rasterization of Scalar Volumes
Sign Up to like & getrecommendations! Published in 2022 at "Computer Graphics Forum"
DOI: 10.1111/cgf.14670
Abstract: In this paper we propose a novel and efficient rasterization‐based approach for direct rendering of isosurfaces. Our method exploits the capabilities of task and mesh shader pipelines to identify subvolumes containing potentially visible isosurface geometry,… read more here.
Keywords: direct isosurface; geometry; efficient direct; isosurface rasterization ... See more keywords
Parallel multi-view polygon rasterization for 3D light field display.
Sign Up to like & getrecommendations! Published in 2020 at "Optics express"
DOI: 10.1364/oe.408857
Abstract: Three-dimensional (3D) light field displays require samples of image data captured from a large number of regularly spaced camera images to produce a 3D image. Generally, it is inefficient to generate these images sequentially because… read more here.
Keywords: image; field; multi view; rasterization ... See more keywords