Volume IV-2/W2
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.
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

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 C. Yang et al.
  • 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.