PCG(preconditioned conjugate gradient) for RCS(reduced camera system) in SLAM

本文介绍了预条件共轭梯度(PCG)在减少相机系统(RCS)中的应用,用于SLAM问题的求解。作者探讨了线性代数软件的选择,如BLAS、LAPACK和Eigen,并详细阐述了PCG算法在加速RCS线性系统的解算中的效果。通过对比直接求解、CG方法,展示了PCG在处理不同规模RCS数据集时的速度提升。

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1. Introduction

Try to reproduce the article Pushing the Envelope of Modern Methods for Bundle Adjustment.

The main contribution of this article are :

  • Use BLAS to rewrite the optimziation algorithms.
  • A novel embedded point iterations (EPIs).
  • Use block-based preconditioned conjugate gradients.

1.1 Linear algebra softwares

Recommond to read this slide from Standford Convex optimzation course EE364B website .

  • BLAS offers three levels of basic matrix operations.
  • LAPACK offers more high level linear algebra algorithms.
  • Both can be called from C++ (our main develop language).
  • Eigen is another matrix calculation library (has better interface, but little bit slows). See their Benchmark, And also see How does Eigen compare to BLAS/LAPACK?

In my point of view, I prefer Eigen , as it is easier to use, and it offers NEON acce

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