This paper modifies the loss function of RCA algorithm, gets a robust convergence by restraining the ill con- dition in the iteration of competitive agglomeration among the clusters.
本文通过对RCA算法中遗忘函数的修正，抑制了类间竞争迭代中的病态发散，从而实现了算法的稳健收敛。
The experiments with both simulate and real data show that the method is efficient, robust and has good property of convergence and small re-projection errors.
模拟实验和真实实验数据结果表明，该射影重建方法具有鲁棒性好、收敛性好以及重投影误差小等优点。
The experiments with both simulate and real data show that the self-calibration method is efficient, robust and have good property of convergence.
模拟实验和真实实验数据结果表明，该定标方法运算量小、鲁棒性好、收敛性好等优点。
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