Results 111 to 120 of about 25,965 (227)
The exploration of concepts for projectile toys [PDF]
, 2005 Includes bibliographical references (p. 199-200).Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, September 2005 (first author); and, (S.M.)--Massachusetts Institute of Technology, Dept.
Fienup, William James, 1980- +1 more
core
Sync-NeRF: Generalizing Dynamic NeRFs to Unsynchronized Videos
Proceedings of the AAAI Conference on Artificial IntelligenceRecent advancements in 4D scene reconstruction using neural radiance fields (NeRF) have demonstrated the ability to represent dynamic scenes from multi-view videos. However, they fail to reconstruct the dynamic scenes and struggle to fit even the training views in unsynchronized settings.
Kim, Seoha +5 more
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Advanced ScienceElectrode grids are used in neuroscience research and clinical practice to record electrical activity from the surface of the brain. However, existing passive electrocorticography (ECoG) technologies are unable to offer both high spatial resolution and ...
Horacio Londoño‐Ramírez +11 more
doaj +1 more source
Di-NeRF: Distributed NeRF for Collaborative Learning With Relative Pose Refinement
IEEE Robotics and Automation Letters9 pages, 11 figures, Accepted in IEEE-RA ...
Mahboubeh Asadi +2 more
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Specularity in NeRFs: A Comparative Study of Ref-NeRF and NRFF
Image Processing On LineNeural Radiance Fields (NeRF) have emerged as a leading technology for 3D digitization, especially for their high accuracy and intricate detailing. Despite their advancements, early NeRF models struggle to handle reflections on specular surfaces effectively.
Barreiro, Albert +5 more
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Residual-NeRF: Learning Residual NeRFs for Transparent Object Manipulation
2024 IEEE International Conference on Robotics and Automation (ICRA)Transparent objects are ubiquitous in industry, pharmaceuticals, and households. Grasping and manipulating these objects is a significant challenge for robots. Existing methods have difficulty reconstructing complete depth maps for challenging transparent objects, leaving holes in the depth reconstruction.
Duisterhof, Bardienus P. +3 more
openaire +2 more sources
BRDF-NeRF: Neural radiance fields with optical satellite images and BRDF modelling
International Journal of Applied Earth Observations and GeoinformationNeural radiance fields (NeRF) have gained prominence as a machine learning technique for representing 3D scenes and estimating the bidirectional reflectance distribution function (BRDF) from multiple images. However, most existing research has focused on
Lulin Zhang +4 more
doaj +1 more source
NeRF Analogies: Example-Based Visual Attribute Transfer for NeRFs
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Comment: Project page: https://mfischer-ucl.github.io/nerf_analogies/
Fischer, Michael +6 more
openaire +2 more sources
Multispectral-NeRF: A Multispectral Modeling Approach Based on Neural Radiance Fields
Applied Sciences3D reconstruction technology generates three-dimensional representations of real-world objects, scenes, or environments using sensor data such as 2D images, with extensive applications in robotics, autonomous vehicles, and virtual reality systems ...
Hong Zhang +3 more
doaj +1 more source