ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W2, 335-340, 2017
https://doi.org/10.5194/isprs-annals-IV-2-W2-335-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
17 Aug 2017
A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING
C. Yang1,2, F. Zhang1,4, X. Huang1,3,4, D. Li1, and Y. Zhu1 1LIESMARS, Wuhan University, Wuhan, China
2School of Remote Sensing and Information Engineering, Wuhan University, Luoyu Road 129, Wuhan, China
3Collaborative Innovation Center of Geospatial Technology, Wuhan University, Luoyu Road 129, Wuhan, China
4Laboratory of Digital Yungang, Datong, China
Keywords: Texture Mapping, Silhouette, Laser Scanning, Modelling Abstract. 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.
Conference paper (PDF, 2122 KB)


Citation: Yang, C., Zhang, F., Huang, X., Li, D., and Zhu, Y.: A TARGET AWARE TEXTURE MAPPING FOR SCULPTURE HERITAGE MODELING, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2/W2, 335-340, https://doi.org/10.5194/isprs-annals-IV-2-W2-335-2017, 2017.

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