FAKIR: An algorithm for revealing the anatomy and pose of statues from raw point sets. (24th November 2020)

• Record Type: Journal Article
• Authors: Fu, Tong; Chaine, Raphaëlle; Digne, Julie
• Is Part Of: Computer graphics forum. Volume 39:Number 7(2020)
• Page Start: 375
• Page End: 385
• Publication Date: 2020-11-24
• Subjects: CCS Concepts -- Computing methodologies → Shape modeling -- Point‐based models; Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14152
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: 3D acquisition of archaeological artefacts has become an essential part of cultural heritage research for preservation or restoration purpose. Statues, in particular, have been at the center of many projects. In this paper, we introduce a way to improve the understanding of acquired statues representing real or imaginary creatures by registering a simple and pliable articulated model to the raw point set data. Our approach performs a Forward And bacKward Iterative Registration (FAKIR) which proceeds joint by joint, needing only a few iterations to converge. We are thus able to detect the pose and elementary anatomy of sculptures, with possibly non realistic body proportions. By adapting our simple skeleton, our method can work on animals and imaginary creatures.