Through the introduction of residual error associated with the cost function, gives a high-precision estimates based on linear matrix algorithm- weighted translation algorithm. First of all, the original input data weighted to calculate the weighted center of gravity after the data coordinates, will be moved to the coordinates origin Ping The center of gravity coordinates, re-normalized. and then use the 8 point algorithm to derive the fundamental matrix F array eight parameters, the achievement of the F array of high-precision estimates. The experimental results show that this algorithm has good robustness, and residual error and the distance is less than most other linear algorithms, improve the accuracy of the fundamental matrix.

Packet : 47651509alinearalgorithmwithhighaccuracyforestimatingfundamentalmatrix.rar filelist
一种高精度估计的基础矩阵的线性算法.pdf

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