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