ISPRS-Annals ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences ISPRS-Annals ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci. 2194-9050 Copernicus Publications Göttingen, Germany 10.5194/isprs-annals-IV-2-W2-335-2017 A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING Yang C． 1 2 Zhang F. 1 4 Huang X. 1 3 4 Li D. 1 Zhu Y. 1 LIESMARS, Wuhan University, Wuhan, China School of Remote Sensing and Information Engineering, Wuhan University, Luoyu Road 129, Wuhan, China Collaborative Innovation Center of Geospatial Technology, Wuhan University, Luoyu Road 129, Wuhan, China Laboratory of Digital Yungang, Datong, China 17 08 2017 IV-2/W2 335 340 This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/ This article is available from https://isprs-annals.copernicus.org/articles/isprs-annals-IV-2-W2-335-2017.html The full text article is available as a PDF file from https://isprs-annals.copernicus.org/articles/isprs-annals-IV-2-W2-335-2017.pdf

In this paper, we proposed a target aware image to model registration method using silhouette as the matching clues. The target sculpture object in natural environment can be automatically detected from image with complex background with assistant of 3D geometric data. Then the silhouette can be automatically extracted and applied in image to model matching. Due to the user don’t need to deliberately draw target area, the time consumption for precisely image to model matching operation can be greatly reduced. To enhance the function of this method, we also improved the silhouette matching algorithm to support conditional silhouette matching. Two experiments using a stone lion sculpture of Ming Dynasty and a potable relic in museum are given to evaluate the method we proposed. The method we proposed in this paper is extended and developed into a mature software applied in many culture heritage documentation projects.