Accurate 3D reconstruction from photographs using advanced computer vision algorithms, generating high quality 3D models of photographed scenes or objects.
OpenMVS (Open Multi-View Stereo Reconstruction) is an open source software for accurate 3D reconstruction from images. It implements advanced computer vision algorithms to process a set of images depicting a real scene or object from different viewpoints, and generate a high quality 3D model that accurately represents the shape and geometry of the photographed scene or object.
It can take images from different types of cameras including consumer cameras, professional DSLRs, special stereo cameras, low-cost 3D sensors etc. The images can be unordered and without camera poses or any geometric information. OpenMVS uses a structure from motion pipeline and multi-view stereo reconstruction algorithms to robustly estimate the camera parameters and reconstruct the 3D model.
Some key capabilities and features of OpenMVS include:
OpenMVS is useful for applications like 3D scanning,creating virtual tours from photos, mapping and localization tasks in robotics and augmented/virtual reality. It can generate high quality textured 3D models from photo collections that can be used in different 3D applications.
Here are some alternatives to OpenMVS:
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