一种采用纹理分布特征的标定方法

计算机科学 ›› 2015, Vol. 42 ›› Issue (12): 288-291.

一种采用纹理分布特征的标定方法

李娜,耿国华,王小凤

西北大学信息科学与技术学院西安710127,西北大学信息科学与技术学院西安710127,西北大学信息科学与技术学院西安710127

出版日期:2018-11-14 发布日期:2018-11-14
基金资助:
本文受国家自然科学基金面上项目:基于全局优化的破损兵马俑虚拟复原方法研究(61373117),陕西省科技统筹创新工程计划项目:文化遗产资源数字化关键技术研究及其应用示范(2011KTCG03-08),陕西省教育厅产业化培育项目:古代石刻艺术三维数字化保护与示范(2012JC24)资助

Calibration Method of Using Texture Distribution Features

LI Na, GENG Guo-hua and WANG Xiao-feng

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 纹理重建是文物数字化保护工作的重要内容,针对中小型文物纹理重建中多视角纹理采集的自动化标定问题,提出了一种新的用于纹理采集的量化特征标定方法,以提高三维空间点与二维像素点之间拟合的精度。按照实物表面色彩种类及几何图案数量两类重要的纹理特征,进行纹理分布数据的归一化整理；利用归一化后的数据对拍摄角度的标定模板进行标定；最后通过透视投影原理计算三维空间点与二维像素点之间的多视角配准与映射。实验结果表明,量化特征标定方法的非均匀特性与均匀标定模板相比较,在不明显增加计算量的同时,能更好地体现纹理精度。

关键词: 相机标定,三维纹理重建,透视投影,数字化保护

Abstract: Texture reconstruction is an important content for digital protection of cultural relics.Aiming at automation calibration precision problem of multiple angle texture collection in texture reconstruction for small and medium-sized relics,this paper put forward a kind of new quantitative features calibration method in order to improve precision of the fitting between the 3D space points and the 2D pixel.This method makes a normalization processing for texture distribution data according to two important types of texture feature as species of color and quantity of geometric pattern of the real surface.Then,it uses the normalization data to assign the quantitative features of calibration template of camera angles.Finally,it realizes the multi-view registration and mapping between the 3D space points and the 2D pixel through perspective projection principle.The experimental results show that,the proposed non-uniform calibration template can better reflect the precision of texture than the uniform calibration template without obviously increasing the amount of calculation at the same time.

Key words: Camera calibration,Three-dimensional texture reconstruction,Perspective projection,Digital conservation

李娜,耿国华,王小凤. 一种采用纹理分布特征的标定方法[J]. 计算机科学, 2015, 42(12): 288-291. https://doi.org/

LI Na, GENG Guo-hua and WANG Xiao-feng. Calibration Method of Using Texture Distribution Features[J]. Computer Science, 2015, 42(12): 288-291. https://doi.org/

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