Results 1 to 10 of about 4,408 (223)

Multi-channel volume density neural radiance field for hyperspectral imaging [PDF]

Scientific Reports
Hyperspectral imaging and Neural Radiance Field (NeRF) can be combined in powerful ways. With limited hyperspectral images, NeRF can generate images of objects with spectral information from arbitrary viewpoints, which can effectively mitigate defects ...
Runchuan Ma, Sailing He
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Neural radiance fields assisted by image features for UAV scene reconstruction [PDF]

Scientific Reports
With the rapid advancement of Unmanned Aerial Vehicle applications, vision-based 3D scene reconstruction has demonstrated significant value in fields such as remote sensing and target detection.
Zhihong Chen, Xueyun Chen, Chenghong Ye, Shaojie Wu, Xiang Wu   +4 more
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Ortho-NeRF: generating a true digital orthophoto map using the neural radiance field from unmanned aerial vehicle images

Geo-spatial Information Science
True Digital Orthophoto Maps (TDOMs) have high geometric accuracy and rich image characteristics, making them essential geographic data for national economic and social development.
Shihan Chen, Qingsong Yan, Yingjie Qu, Wang Gao, Junxing Yang, Fei Deng   +5 more
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Unmanned Aerial Vehicle-Neural Radiance Field (UAV-NeRF): Learning Multiview Drone Three-Dimensional Reconstruction with Neural Radiance Field

Remote Sensing
In traditional 3D reconstruction using UAV images, only radiance information, which is treated as a geometric constraint, is used in feature matching, allowing for the restoration of the scene’s structure. After introducing radiance supervision, NeRF can
Li Li, Yongsheng Zhang, Zhipeng Jiang, Ziquan Wang, Lei Zhang, Han Gao   +5 more
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Neural Radiance Fields: Driven Exploration of Visual Communication and Spatial Interaction Design for Immersive Digital Installations [PDF]

Journal of Imaging
In immersive digital devices, high environmental complexity can lead to rendering delays and loss of interactive details, resulting in a fragmented experience.
Wanshu Li, Yuanhui Hu
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Evaluating the Effectiveness of Neural Radiance Field for Noninvasive Volumetric Assessment [PDF]

Plastic and Reconstructive Surgery, Global Open
Summary:. Assessing swelling is crucial for the surgical treatment of lower limb lymphedema and is often conducted using 2-dimensional (2D) imaging, which is available in most outpatient settings. Advanced methods, such as taping and computed tomography (
Soma Nakaso, MD, Hyakuzoh Ueda, MD, Shimpei Ono, MD, PhD, Rei Ogawa, MD, PhD   +3 more
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NERF FOR HERITAGE 3D RECONSTRUCTION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Conventional or learning-based 3D reconstruction methods from images have clearly shown their potential for 3D heritage documentation. Nevertheless, Neural Radiance Field (NeRF) approaches are recently revolutionising the way a scene can be rendered or ...
G. Mazzacca, G. Mazzacca, A. Karami, S. Rigon, E. M. Farella, P. Trybala, F. Remondino   +6 more
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NERFBK: A HOLISTIC DATASET FOR BENCHMARKING NERF-BASED 3D RECONSTRUCTION [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023
Neural Radiance Field methods are innovative solutions to derive 3D data from a set of oriented images. This paper introduces new real and synthetic image datasets - called NeRFBK - specifically designed for testing and comparing NeRF-based 3D ...
Z. Yan, Z. Yan, G. Mazzacca, G. Mazzacca, S. Rigon, E. M. Farella, P. Trybala, F. Remondino   +7 more
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Eigengrasp-Conditioned Neural Radiance Fields

IEEE Access, 2023
In this study, we address the problem of learning a posture-controllable three-dimensional (3D) representation of articulated robotic hands. Neural radiance fields (NeRFs) have outperformed grid-like 3D representations on a novel view synthesis tasks ...
Hiroaki Aizawa, Itoshi Naramura
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Reconstructing Continuous Light Field From Single Coded Image

IEEE Access, 2023
We propose a method for reconstructing a continuous light field of a target scene from a single observed image. Our method takes the best of two worlds: joint aperture-exposure coding for compressive light-field acquisition, and a neural radiance field ...
Yuya Ishikawa, Keita Takahashi, Chihiro Tsutake, Toshiaki Fujii   +3 more
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