Differential Evolution as a viable tool for satellite image registration
Applied Soft Computing
Automatic Feature Extraction from 3D Range Images of Skulls
IWCF '08 Proceedings of the 2nd international workshop on Computational Forensics
Automatic 3D skull reconstruction using invariant features
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Replicator Dynamics in the Iterative Process for Accurate Range Image Matching
International Journal of Computer Vision
Evolutionary Approaches for Automatic 3D Modeling of Skulls in Forensic Identification
Proceedings of the 2007 EvoWorkshops 2007 on EvoCoMnet, EvoFIN, EvoIASP,EvoINTERACTION, EvoMUSART, EvoSTOC and EvoTransLog: Applications of Evolutionary Computing
Information Sciences: an International Journal
Range image registration using hierarchical segmentation and clustering
CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
Free form shape registration using the barrier method
Computer Vision and Image Understanding
Accurate overlap area detection using a histogram and multiple closest points
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Forensic identification by computer-aided craniofacial superimposition: A survey
ACM Computing Surveys (CSUR)
An advanced scatter search design for skull-face overlay in craniofacial superimposition
Expert Systems with Applications: An International Journal
Adding chaos to differential evolution for range image registration
EvoApplications'13 Proceedings of the 16th European conference on Applications of Evolutionary Computation
Quality time-of-flight range imaging for feature-based registration using bacterial foraging
Applied Soft Computing
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Different tasks in forensic anthropology require the use of three-dimensional models of forensic objects (skulls, bones, corpses, etc) captured by 3D range scanners. Since a whole object cannot be completely scanned with a single image, multiple scans from different views are needed to supply the information to construct the 3D model. Range image registration methods study the accurate integration of the different views acquired by range scanners, with pair-wise approaches progressively processing every adjacent pair of scanned views until reconstructing the whole 3D model of the object. Our proposal is based on the adaptation of our previous work (Cordon et al, IEEE Conference on Evolutionary Computation, pp 2738–2744, 2005 in Pattern Recognit Lett 27(11); 1191-1200, 2006) in order to apply the scatter search evolutionary algorithm to pair-wise image registration in forensic anthropology applications. To measure the performance of this adaptation, we design an experimental setup considering some of the most recent and accurate evolutionary techniques for the problem, as well as one skull from our Physical Anthropology Lab. Two additional volumes, commonly used in other pair-wise range IR contributions, have also been considered to complement the comparison of results among the proposals.