Photometric Bundle Adjustment library?

This page summarizes the projects mentioned and recommended in the original post on /r/computervision

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  • MegBA

    MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

  • ceres-solver

    A large scale non-linear optimization library

  • http://ceres-solver.org (if you want to implement it manually, see tutorials & openCV sfm module)

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • photobundle

    Photometric Bundle Adjustment for Vision-Based SLAM

  • The only one I can really think of is https://github.com/halismai/photobundle but it is very much research code.

  • PBA

    Photometric Bundle Adjustment for Dense Multi-View Stereo

  • photometricBA

    Photometric Bundle Adjustment as a refinement step after feature-based Structure-from-Motion

  • pixel-perfect-sfm

    Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)

  • Finally there is also https://github.com/cvg/pixel-perfect-sfm which does do some photometric/dense refinement, but I think it only works in the featuremetric space. So not exactly photometric.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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