Portable visual metrology works with m ultiple uncalibrated images and image feature points need to be matched by epipo lar geometry.Due to the existence of image distortion,fundamental matrix can’t be accurately solved.In order to resolve this problem,a novel indirect fundament al matrix solving method based on coding network geometry is proposed.In this method,spatial interaction collinear mathem atical model is established by using automatic error-free correspondence of coding points firstly.Secondly,aft er being optimized,the strong coding network geometry is built accurately.Meanwhile,the internal and external orienta tion parameters of each station are optimized accurately.Thirdly,the fundamental matrix can be solved indirectly with the relationship between fundamental matrix and these parameters.Finally,feature points from multi-view can be matched correctly by using the recovered epipolar geometry.Experiments are done for the ver ification of this method.Compared with v-star,the average error and mean square error of establishing coding net work are 0.05185mm and 0.02089mm,respectively.Besides,the right matching rate and epipolar geometry recovering accuracy of this method are compared with those of two classic methods,including iterative levenberg-marquardt method an d robust LMedS method.Extensive experimental results prove that this method can recover the epipolar geometry accurately and find more matches.