NASA Vision Workbench is a C++ image processing and computer vision framework developed at NASA Ames Research Center.
It is designed for demanding scientific imaging workflows, including satellite and planetary imagery, automated science and engineering analysis, robot perception, mapping and 2D/3D environment reconstruction. Vision Workbench is also developed as part of the Ames Stereo Pipeline, where it provides much of the underlying image and vision infrastructure.
The framework has a modular, dataflow-oriented architecture. Its image processing model is designed to work efficiently with very large datasets without requiring an entire image to be loaded into memory, making it useful well beyond its original space exploration applications.
This is free and open source software.
Key Features
- Core image and pixel types with a broad collection of image manipulation operations.
- Lazy computation model and block-level processing for working efficiently with large images.
- Pinhole, linescan and other camera models used in photogrammetry and computer vision.
- Interest point detection and matching facilities.
- Cartographic tools for map projections and georeferenced image data.
- Reads and writes formats including JPEG, PNG, TIFF, PDS and OpenEXR through its file I/O facilities.
- Mosaic tools for assembling large image composites and performing multi-band blending.
- High dynamic range imaging and tone mapping support.
- Stereo correlation, stereo camera models and 3D reconstruction facilities.
- Mathematical infrastructure covering vectors, matrices, quaternions, optimisation, homographies and bounding boxes.
Website: software.nasa.gov/software/ARC-15761-1A
Support:
Developer: NASA Ames Research Center
License: Apache License 2.0
Nasa Vision Workbench is written in C++. Learn C++ with our recommended free books and free tutorials.
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