centers Image
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@ -11,7 +11,10 @@ information around the matched featues into the covariance matrix, as described
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It's positioning is comparable to the approach from Ke Sun et al. with the photometric approach, with a higher
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computational load, especially with larger image patches around the feature. A video explaining the approach can be
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found on [https://youtu.be/HrqQywAnenQ](https://youtu.be/HrqQywAnenQ):
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<br/>
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<p align="center">
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[![Stereo-Photometric MSCKF](https://img.youtube.com/vi/HrqQywAnenQ/0.jpg)](https://www.youtube.com/watch?v=HrqQywAnenQ)
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</p>
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<br/>
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This software should be deployed using ROS Kinetic on Ubuntu 16.04 or 18.04.
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