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This paper presents an automatic three-dimensional reconstruction method based on multi-view stereo vision for the MogaoGrottoes. 3D digitization technique has been used in cultural heritage conservation and replication over the past decade, especiallythe methods based on binocular stereo vision. However, mismatched points are inevitable in traditional binocular stereo matchingdue to repeatable or similar features of binocular images. In order to reduce the probability of mismatching greatly and improve themeasure precision, a portable four-camera photographic measurement system is used for 3D modelling of a scene. Four cameras ofthe measurement system form six binocular systems with baselines of different lengths to add extra matching constraints and offermultiple measurements. Matching error based on epipolar constraint is introduced to remove the mismatched points. Finally, anaccurate point cloud can be generated by multi-images matching and sub-pixel interpolation. Delaunay triangulation and texturemapping are performed to obtain the 3D model of a scene. The method has been tested on 3D reconstruction several scenes of theMogao Grottoes and good results verify the effectiveness of the method

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

AN AUTOMATIC 3D RECONSTRUCTION METHOD BASED ON MULTI-VIEW STEREO VISION FOR THE MOGAO GROTTOES