关键词: 结构光, 符号, 交叉点网络, 解码, 三维重建

Abstract: Computer vision has been the hot spot for several decades.Structured light technique is a branch of binocular computer vision by utilizing a projector instead of one camera in binocular stereovision.Because the projector structured light pattern owns the characteristic of code uniqueness，structured light technique is able to solve the pixel matching problem in binocular vision.The symbol decoding becomes an important job in structured light technique，and according to the symbols’ property，a decoding method based on cross points net is proposed.This method extracts the cross points effectively and creates the global cross points net.Aiming at the phenomena of cross chiasm distortion，a cross point combination approach is studied，and an inner cross points location method based on circular recognition algorithm and symbols classification approach based on vector angle algorithm are proposed.The proposed approaches have effective performance on symbol codeword retrieving.Finally，the target of object’s 3D reconstructed is realized.

Key words: structured light, symbol, cross points net, decoding, 3-dimensional reconstructed