3DMatch - a 3D ConvNet-based local geometric descriptor for aligning 3D meshes and point clouds.
Las características principales de andyzeng/3dmatch-toolbox son: Scene Reconstruction.
Las alternativas de código abierto para andyzeng/3dmatch-toolbox incluyen: openmvg/openmvg — openMVG is a computer vision geometry library and toolkit for multiple view geometry. It serves as a framework for… intel-isl/open3d — Open3D is a 3D data processing library, visualization engine, and machine learning library. It provides a framework… eryixie/planerecnet — This is an official implementation for PlaneRecNet: A multi-task convolutional neural network provides instance… fangjinhuawang/itermvs — official source code of paper 'IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo'. florianlanger/sparc — Official implementation of the paper. facebookresearch/ridgesfm — Benjamin Graham, David Novotny 3DV 2020.
openMVG is a computer vision geometry library and toolkit for multiple view geometry. It serves as a framework for structure from motion and 3D scene reconstruction, providing the tools necessary to recover 3D point clouds and camera poses from collections of 2D images. The library implements both global and incremental structure-from-motion pipelines. It uses geometric algorithms to calculate camera pose estimation and image localization, employing Levenberg-Marquardt bundle adjustment to refine 3D coordinates and camera parameters by minimizing reprojection error. The project covers a broa
Open3D is a 3D data processing library, visualization engine, and machine learning library. It provides a framework for manipulating point clouds and meshes through specialized algorithms designed for 3D data science workflows. The project includes a toolkit for 3D scene reconstruction to generate spatial models and align surfaces from raw data. It also functions as a GPU accelerated framework that offloads intensive spatial computations to the graphics processor to increase processing speed. The library covers a broad range of capabilities including physically based light simulations for vi
This is an official implementation for PlaneRecNet: A multi-task convolutional neural network provides instance segmentation for piece-wise planes and monocular depth estimation, and focus on the cross-task consistency between two branches. 22th. Oct. 2021: Initial update, some trained models…
