AutoCNet: A Python library for sparse multi-image correspondence identification for planetary data
In this work we describe the AutoCNet library, written in Python, to support the application of computer vision techniques for n-image correspondence identification in remotely sensed planetary images and subsequent bundle adjustment. The library is designed to support exploratory data analysis, alg...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-01-01
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| Series: | SoftwareX |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S235271101830013X |