International audienceWe present a novel 3D reconstruction system that can generate a stable triangle mesh using data from multiple RGB-D sensors in real time for dynamic scenes. The first part of the system uses moving least squares (MLS) point set surfaces to smooth and filter point clouds acquired from RGB-D sensors. The second part of the system generates triangle meshes from point clouds. The whole pipeline is executed on the GPU and is tailored to scale linearly with the size of the input data. Our contributions include changes to the MLS method for improving meshing, a fast triangle mesh generation method and GPU implementations of all parts of the pipeline
3D scene reconstruction is an important topic in computer vision. A complete scene is reconstructed ...
Figure 1: a) Combined raw geometries obtained by a calibrated setup of two hybrid color+depth camera...
A new methodology for 3D scene reconstruction, which can support effective robotic sensing and navig...
International audienceWe present a novel 3D reconstruction system that can generate a stable triangl...
We present real-time solution for 3D human body reconstruction with multiple RGB-D cameras. Our syst...
Abstract Multi-view dynamic three-dimensional reconstruction has typically required the use of custo...
Figure 1: Our system enables the real-time capture of general shapes undergoing non-rigid deformatio...
In the paper an algorithm of triangle mesh generation for a full three-dimensional volumetric data i...
This paper presents the first entirely open-source and cross-platform software called Open3DGen for ...
A key task in computer vision is that of generating virtual 3D models of real-world scenes by recons...
We present a method for reconstructing the geometry and appearance of indoor scenes containing dynam...
We present a video-based system which interactively captures the geometry of a 3D object in the form...
International audienceIn this work, a RGB-D input stream is utilized for GPU-boosted 3D reconstructi...
3D reconstruction is the method of creating the shape and appearance of a real scene or objects, giv...
We present a system for acquiring synchronized multi-view color and depth (RGB-D) data using multipl...
3D scene reconstruction is an important topic in computer vision. A complete scene is reconstructed ...
Figure 1: a) Combined raw geometries obtained by a calibrated setup of two hybrid color+depth camera...
A new methodology for 3D scene reconstruction, which can support effective robotic sensing and navig...
International audienceWe present a novel 3D reconstruction system that can generate a stable triangl...
We present real-time solution for 3D human body reconstruction with multiple RGB-D cameras. Our syst...
Abstract Multi-view dynamic three-dimensional reconstruction has typically required the use of custo...
Figure 1: Our system enables the real-time capture of general shapes undergoing non-rigid deformatio...
In the paper an algorithm of triangle mesh generation for a full three-dimensional volumetric data i...
This paper presents the first entirely open-source and cross-platform software called Open3DGen for ...
A key task in computer vision is that of generating virtual 3D models of real-world scenes by recons...
We present a method for reconstructing the geometry and appearance of indoor scenes containing dynam...
We present a video-based system which interactively captures the geometry of a 3D object in the form...
International audienceIn this work, a RGB-D input stream is utilized for GPU-boosted 3D reconstructi...
3D reconstruction is the method of creating the shape and appearance of a real scene or objects, giv...
We present a system for acquiring synchronized multi-view color and depth (RGB-D) data using multipl...
3D scene reconstruction is an important topic in computer vision. A complete scene is reconstructed ...
Figure 1: a) Combined raw geometries obtained by a calibrated setup of two hybrid color+depth camera...
A new methodology for 3D scene reconstruction, which can support effective robotic sensing and navig...