Results 31 to 40 of about 38,901 (314)
Evaluation of HoloLens Tracking and Depth Sensing for Indoor Mapping Applications
Sensors, 2020 The Microsoft HoloLens is a head-worn mobile augmented reality device that is capable of mapping its direct environment in real-time as triangle meshes and localize itself within these three-dimensional meshes simultaneously.
Patrick Hübner +4 more
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A Three-Dimensional Triangle Mesh Integration Method for Oblique Photography Model Data
Buildings, 2023 Oblique photography 3D models are increasingly used in 3D modeling and visualization, urban planning and design, smart cities, smart mines, and other fields.
Defu Che +6 more
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Semantic-guided 3D building reconstruction from triangle meshes
International Journal of Applied Earth Observations and Geoinformation, 2023 Planar primitives tend to be incorrectly detected or incomplete in complex scenes where adhesions exist between different objects, resulting in topology errors in the reconstructed models. We propose a semantic-guided building reconstruction method known
Senyuan Wang +8 more
doaj
Obtuse triangle suppression in anisotropic meshes
Computer Aided Geometric Design, 2011 Anisotropic triangle meshes are used for efficient approximation of surfaces and flow data in finite element analysis, and in these applications it is desirable to have as few obtuse triangles as possible to reduce the discretization error. We present a variational approach to suppressing obtuse triangles in anisotropic meshes.
Sun, Feng +5 more
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Toward the Assessment of Intrinsic Geometry of Implicit Brain MRI Manifolds
IEEE Access, 2021 Principal and Gaussian curvatures are commonly used intrinsic metrics for geometric morphometrics analysis: to assess morphometric changes in brain geometry (developmental neuroimaging studies), to quantify shape deformation (organ motion assessment), or
Karim Makki +2 more
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ON THE ASSOCIATION OF LIDAR POINT CLOUDS AND TEXTURED MESHES FOR MULTI-MODAL SEMANTIC SEGMENTATION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The semantic segmentation of the huge amount of acquired 3D data has become an important task in recent years. We propose a novel association mechanism that enables information transfer between two 3D representations: point clouds and meshes.
D. Laupheimer +2 more
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A GAMIFICATION APPROACH FOR THE IMPROVEMENT OF PAID CROWD-BASED LABELLING OF GEOSPATIAL DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Non-commercial, unpaid crowdsourcing is the basis of many non-profit projects on the Internet such as Wikipedia or OpenStreetMap. A prerequisite for such projects to be successful is to find a sufficient number of volunteer crowdworkers who are ...
V. Walter, M. Kölle, D. Collmar
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Compact data structures for triangulations [PDF]
, 2015 International audienceThe main problem consists in designing space-efficient data structures allowing to represent the connectivity of triangle meshes while supporting fast navigation and local ...
Castelli Aleardi, Luca +2 more
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Size-Adaptive Texture Atlas Generation and Remapping for 3D Urban Building Models
ISPRS International Journal of Geo-Information, 2021 A high-fidelity 3D urban building model requires large quantities of detailed textures, which can be non-tiled or tiled ones. The fast loading and rendering of these models remain challenges in web-based large-scale 3D city visualization. The traditional
Xuequan Zhang +4 more
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Multiresolution hierarchies on unstructured triangle meshes
Computational Geometry, 1999 AbstractThe use of polygonal meshes for the representation of highly complex geometric objects has become the de facto standard in most computer graphics applications. Especially triangle meshes are preferred due to their algorithmic simplicity, numerical robustness, and efficient display.
Kobbelt, L. +2 more
openaire +3 more sources