Results 81 to 90 of about 8,361,437 (204)
SICE Journal of Control, Measurement, and System IntegrationWe investigated the feasibility of using a 3D point cloud estimated by a neural radiance field (NeRF). We evaluated the quality of point clouds reconstructed with NeRF and multi-view stereo.
Yuta Tsukamoto +3 more
doaj +1 more source
OUGS: Active View Selection via Object‐aware Uncertainty Estimation in 3DGS
Computer Graphics Forum, EarlyView.Abstract Recent advances in 3D Gaussian Splatting (3DGS) have achieved state‐of‐the‐art results for novel view synthesis. However, efficiently capturing high‐fidelity reconstructions of specific objects within complex scenes remains a significant challenge.
Haiyi Li +3 more
wiley +1 more source
TreeON: Reconstructing 3D Tree Point Clouds from Orthophotos and Heightmaps
Computer Graphics Forum, EarlyView.Abstract We present TreeON, a novel neural‐based framework for reconstructing detailed 3D tree point clouds from sparse top‐down geodata, using only a single orthophoto and its corresponding Digital Surface Model (DSM). Our method introduces a new training supervision strategy that combines both geometric supervision and a differentiable shadow and ...
Angeliki Grammatikaki +4 more
wiley +1 more source
Neural Radiance Fields (NeRFs) in Orthopedics
, 2023 Dissertação de Mestrado em Engenharia Eletrotécnica e de Computadores apresentada à Faculdade de Ciências e ...
openaire +1 more source
Constraining the Geometry of NeRFs for Accurate DSM Generation from Multi-View Satellite Images
ISPRS International Journal of Geo-InformationNeural Radiance Fields (NeRFs) are an emerging approach to 3D reconstruction that use neural networks to reconstruct scenes. However, its applications for multi-view satellite photogrammetry, which aim to reconstruct the Earth’s surface, struggle to ...
Qifeng Wan +4 more
doaj +1 more source
COMPARISON OF STATE-OF-THE-ART MULTI-VIEW STEREO SOLUTIONS FOR CLOSE RANGE HERITAGE DOCUMENTATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIn recent years novel 3D reconstruction methods have been developed to improve the conventional image-based point cloud generation techniques. These novel methods generally attempt to address various challenges encountered in conventional methods, namely,
A. Murtiyoso +4 more
doaj +1 more source
MIS-NeRF: neural radiance fields in minimally-invasive surgery. [PDF]
Int J Comput Assist Radiol SurgAbstract Purpose Minimally-invasive surgery (MIS) reduces the trauma compared to open surgery but is challenging for endophytic lesion localisation. Augmented reality (AR) is a promising assistance, which superimposes a preoperative 3D lesion model onto the MIS images.
Khojasteh SB +4 more
europepmc +3 more sources
LeafFit: Plant Assets Creation from 3D Gaussian Splatting
Computer Graphics Forum, EarlyView.Abstract We propose LeafFit, a pipeline that converts 3D Gaussian Splatting (3DGS) of individual plants into editable, instanced mesh assets. While 3DGS faithfully captures complex foliage, its high memory footprint and lack of mesh topology make it incompatible with traditional game production workflows. We address this by leveraging the repetition of
Chang Luo, Nobuyuki Umetani
wiley +1 more source
Surf-NeRF: Surface Regularised Neural Radiance Fields
CoRR20 pages, 17 figures, 9 tables, project page can be found at http://roboticimaging.org/Projects ...
Jack Naylor +2 more
openaire +3 more sources
VRS-NeRF: Accelerating Neural Radiance Field Rendering with Variable Rate Shading
, 2023 Recent advancements in Neural Radiance Fields (NeRF) provide enormous potential for a wide range of Mixed Reality (MR) applications. However, the applicability of NeRF to real-time MR systems is still largely limited by the rendering performance of NeRF.
Frintrop, Simone +4 more
core +1 more source