期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2016
卷号：9
期号：12
页码：71
出版社：SERSC
摘要：For improvingautomation calibration precision of multiple viewtexture collection intexture reconstruction, in this paper a new kind of calibration templateusing statistical distributionof surface textureis proposed.Firstly, there is a normalization processing be made according to statistical distributionof texture feature, such asspecies of color,quantity of geometric patternand bump texture,etc.for the division of viewpoint. Then, the camera views of calibration template are assigned by using the normalization datawith the calibration algorithm. Finally, the algorithm analysis ismade by viewpoint division of four casesand the accuracy of ourmethod can improve more than 10 percent.The experimental results show that, the proposed newcalibration template method can better improve precision of 2D-3D registrationandtexture accuracy of reconstruction model than the uniform calibration template,while no obviously increasing the amount of calculation.
关键词：three;-;dimensional texture reconstruction; camera calibratio;n; ;s;tatistical ;distribution; perspective projection
