Bundle Adjustment —A Modern Synthesis

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文件名称：Bundle Adjustment —A Modern Synthesis
文件大小：570KB
文件格式：PDF
更新时间：2021-04-17 04:42:05
Bundle Adjustment Sparse Matrices This paper is a survey of the theory and methods of photogrammetric bundle adjustment, aimed at potential implementors in the computer vision community. Bundle adjustment is the problem of refining a visual reconstruction to produce jointly optimal structure and viewing parameter estimates. Topics covered include: the choice of cost function and robustness; numerical optimization including sparse Newton methods, linearly convergent approximations, updating and recursive methods; gauge (datum) invariance; and quality control. The theory is developed for general robust cost functions rather than restricting attention to traditional nonlinear least squares.