A Cost Function for the Uncertainty of Matching Point Distribution on Image Registration

Computing the homography matrix using known matching points is a key step in computer vision for image registration. In practice, number, accuracy, and distribution of can affect uncertainty matrix. This study mainly focuses on effect point First, horizontal dilution precision (HDOP) derived to measure influence fixed position accuracy image. The quantization function, which average center points’ HDOP* overlapping region, then constructed distribution. Finally, experiments field registration are performed verify proposed function. We test consistency relationship between function symmetric transfer errors. Consequently, appropriate measuring