A stratified optimization method for camera self-calibration
We present an efficient stratified optimization approach for self-calibration of a camera in the case that its focal length and the principal point location are unknown.Generally we can assume that the two views are of the same focal length,and the pixels are nearly perfectly rectangular,also it is possible to know the aspect ratio rather accurately.In our approach,we use singular value decomposition to solve a modified Kruppa Equation to derive the focal length with the supposition that the principal pointis at the center of the image,and perform an exhaustive search for the principal point near the center of the image to minimize a cost function.We can get a much accurate result with the optimized principal point location.
Camera self-calibration Principal point Stratified optimization Singular value decomposition
Sun Qian Xu Dong
School of Instrumentation Science & Optoelectronics Engineering Beihang University Beijing, P.R.China 100191
国际会议
太原
英文
248-252
2012-08-17（万方平台首次上网日期，不代表论文的发表时间）