URBANOVÁ, Petra and Igor CHALÁS. Performance of Matching Algorithms in Non-Standard Expression-Variant Faces. In Proceedings of the 68th Annual Scientific Meeting of the American Academy of Forensic Sciences. 2016.
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Basic information
Original name Performance of Matching Algorithms in Non-Standard Expression-Variant Faces
Authors URBANOVÁ, Petra and Igor CHALÁS.
Edition Proceedings of the 68th Annual Scientific Meeting of the American Academy of Forensic Sciences, 2016.
Other information
Original language English
Type of outcome Conference abstract
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Tags International impact, Reviewed
Changed by Changed by: RNDr. Igor Chalás, učo 172798. Changed: 5/12/2016 22:16.
Abstract
After attending this presentation, attendees will understand the basic principles on which mesh-to-mesh and deep learning algorithms for 3D face recognition are grounded. Attendees will also be more familiar with the performance of 3D-to-3D and 2D-to-3D matching algorithms as tested on expression-variant 3D recordings of human faces.
Links
MUNI/A/0892/2015, interní kód MUName: Výzkum v aplikované informatice na FI MU (Acronym: VAIFIMU)
Investor: Masaryk University, Category A
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