AliceVision
Photogrammetric Computer Vision Framework
- 3D Reconstruction
- Photomodeling
- Camera Tracking
Photogrammetry is the science of making measurements from photographs. It infers the geometry of a scene from a set of unordered photographies or videos. Photography is the projection of a 3D scene onto a 2D plane, losing depth information. The goal of photogrammetry is to reverse this process.
The dense modeling of the scene is the result yielded by chaining two computer vision-based pipelines:
“Structure-from-Motion” (SfM) and “Multi View Stereo” (MVS).
MeshroomMaya allows graphic artists to do photomodeling on top of a 3D reconstruction (point cloud and cameras) with pixel precision.
The CameraLocalizer plugin estimates the camera pose of an image regarding an existing 3D reconstruction generated by Meshroom.
AliceVision is a Photogrammetric Computer Vision framework for 3D Reconstruction and Camera Tracking.
This library allows you to detect and identify CCTag markers. Such marker system can deliver sub-pixel precision while being largely robust to challenging shooting conditions.
This library provides a GPU implementation of SIFT. 25 fps on HD images on recent graphic cards.
We build a fully integrated software for 3D reconstruction, photomodeling and camera tracking. We aim to provide a strong software basis with state-of-the-art computer vision algorithms that can be tested, analyzed and reused. Links between academia and industry is a requirement to provide cutting-edge algorithms with the robustness and the quality required all along the visual effects and shooting process.
This open approach enables both us and other users to achieve a high degree of integration and easy customisation for any studio pipeline.
Beyond our project objectives, open source is a way of life. We love to exchange ideas, improve ourselves while making improvements for other people and discover new collaboration opportunities to expand everybody’s horizon.