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Pose Variability Compensation Using Projective Transformation Forensic Face Recognition.

, , , , и . BIOSIG, том P-245 из LNI, стр. 27-37. GI, (2015)

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Axel Tome

Benno Pedrotti

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Luicy Pedroza Espinoza

 

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Exploring automatic extraction of body-based soft biometrics., , , , и . ICCST, стр. 1-6. IEEE, (2017)Time Analysis of Pulse-Based Face Anti-Spoofing in Visible and NIR., , , и . CVPR Workshops, стр. 544-552. Computer Vision Foundation / IEEE Computer Society, (2018)On the Vulnerability of Finger Vein Recognition to Spoofing., , и . BIOSIG, том P-230 из LNI, стр. 99-110. GI, (2014)Analysis of the variability of facial landmarks in a forensic scenario., , , , и . IWBF, стр. 1-4. IEEE, (2013)Understanding the discrimination power of facial regions in forensic casework., , , , , , и . IWBF, стр. 1-4. IEEE, (2013)A Study of Identification Performance of Facial Regions from CCTV Images., , , , , и . IWCF, том 8915 из Lecture Notes in Computer Science, стр. 83-91. Springer, (2014)Annotation-Based Access Control Approach for Ubiquitous Systems., , , , , , , , и . AINA, стр. 218-225. IEEE Computer Society, (2014)Scenario-based score fusion for face recognition at a distance., , , и . CVPR Workshops, стр. 67-73. IEEE Computer Society, (2010)The 1st Competition on Counter Measures to Finger Vein Spoofing Attacks., , , , , , , , , и . ICB, стр. 513-518. IEEE, (2015)Assessment of gait recognition based on the lower part of the human body., , , и . IWBF, стр. 1-4. IEEE, (2013)