Title
An automatic assembly and completion framework for fragmented skulls
Abstract
We develop a completion pipeline for fragmented and damaged skulls. The goal of this work is to convert scanned incomplete skull fragments to a complete skull model for subsequent forensic or archeological tasks such as facial reconstruction. The proposed assembly and completion algorithms can also be used to repair other fragmented objects with inherent symmetry. A two-step assembly framework is proposed: (1) rough assembly by an ICP-like template matching algorithm integrated with the slippage features and spin-image descriptors; (2) assembly refinement by a global optimization on least square transformation error (LSTE) of break-curves. The assembled skull is finally repaired by a symmetry-based completion algorithm. Experiments on repairing scanned skull fragments demonstrate the efficacy and robustness of this framework.
Year
DOI
Venue
2011
10.1109/ICCV.2011.6126540
ICCV
Keywords
Field
DocType
scanned skull fragment,fragmented skull,complete skull model,completion pipeline,assembly refinement,rough assembly,completion algorithm,proposed assembly,automatic assembly,two-step assembly framework,damaged skull,completion framework,incomplete skull fragment,template matching,geometry,least square,computer vision,maintenance engineering,assembly,global optimization,image reconstruction,silicon,pipelines,feature extraction
Iterative reconstruction,Facial reconstruction,Template matching,Computer vision,Global optimization,Pattern recognition,Image matching,Computer science,Robustness (computer science),Feature extraction,Skull,Artificial intelligence
Conference
Volume
Issue
ISSN
2011
1
1550-5499
Citations 
PageRank 
References 
9
0.56
18
Authors
4
Name
Order
Citations
PageRank
Zhao Yin1141.65
Li Wei2181.69
Xin Li36510.73
Mary Manhein4181.37