Abstract
Abstract. This paper presents an automatic three-dimensional reconstruction method based on multi-view stereo vision for the Mogao Grottoes. 3D digitization technique has been used in cultural heritage conservation and replication over the past decade, especially the methods based on binocular stereo vision. However, mismatched points are inevitable in traditional binocular stereo matching due to repeatable or similar features of binocular images. In order to reduce the probability of mismatching greatly and improve the measure precision, a portable four-camera photographic measurement system is used for 3D modelling of a scene. Four cameras of the measurement system form six binocular systems with baselines of different lengths to add extra matching constraints and offer multiple measurements. Matching error based on epipolar constraint is introduced to remove the mismatched points. Finally, an accurate point cloud can be generated by multi-images matching and sub-pixel interpolation. Delaunay triangulation and texture mapping are performed to obtain the 3D model of a scene. The method has been tested on 3D reconstruction several scenes of the Mogao Grottoes and good results verify the effectiveness of the method.
Highlights
With the rapid development of computer technology and sensing technology, three-dimensional (3D) digitization of objects has attracted more and more attention over the past decades. 3D modelling technology has been widely applied in various digitization fields, especially cultural heritage conservation. 3D digitization of cultural heritage is mainly used for digital recording and replication of cultural heritage
Binocular vision method can acquire 3D geometry information from a pair of images captured from two known position and angles
In order to reduce the possibility of mismatching, 3D measurement systems based on multi-view vision have been developed (Setti et al, 2012)
Summary
With the rapid development of computer technology and sensing technology, three-dimensional (3D) digitization of objects has attracted more and more attention over the past decades. 3D modelling technology has been widely applied in various digitization fields, especially cultural heritage conservation. 3D digitization of cultural heritage is mainly used for digital recording and replication of cultural heritage. Monocular vision methods can obtain depth information from two-dimensional characteristics of a single image or multiple images from a single view (Massot and Hérault, 2008; Haro and Pardàs, 2010) Such methods are usually not very robust to the environment. Binocular vision method can acquire 3D geometry information from a pair of images captured from two known position and angles This method has high automation and stability in reconstruction. This paper presents an automatic 3D reconstruction method based on multi-view stereo vision This method has reconstructed 3D models of several scenes of No.172 cave in the Mogao Grottoes using a portable four-camera photographic measurement system (PFPMS) (Zhong and Liu, 2012). The authors take reconstruction of a scene of a wall for example to illustrate the whole process of 3D reconstruction, including multi-view images acquisition, multi-view image processing, triangulation and texture mapping
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