5 Jun
2023
5 Jun
'23
9:14 a.m.
In recent times digital biometrics is of immense importance in all spheres
of life. Mostly the advances are in the direction of 3D biometrics and the
face is the body part that is used
mostly. Though face biometrics is one of the most used forms after
fingerprint right now, it is also open to many kinds of presentation attack
instruments. Presentation attack instruments are mainly videos, photographs
or masks and many times expert impersonators with prosthetic makeup. The 3D
face biometrics is sometimes strengthened with the ear, and in many cases,
the ear alone is sufficient for the recognition of individuals. The ear is
agnostic of expressions and thus easy to recognize but forging a
plastic-based ear is also a lot easier than face. 3D ear recognition
mitigates the effect to a consider-
able extent. 3D vascular biometrics and palm-based biometrics have recently
gained steam. Thus in many forms of human biometrics, 3D information is
crucial. But the need for sophisticated and expensive hardware components
works as a deterrent to its widespread adoption. To record and promote this
area of this research we plan to host this special session. We invite
practitioners, researchers, and engineers from biometrics, signal
processing, computer vision, and machine learning fields to contribute
their expertise to uplift the state-of-the-art.
Topics of interest include but are not limited to
• 3D shape capturing and reconstruction for the human body or body parts
from monocular vision
• 3D vasculature and palm-based biometrics from monocular vision
• 3D ear biometrics from monocular vision
• 3D air signature from monocular vision
* Passive 3D Gait biometrics-based recognition from monocular vision
• 3D face by the monocular vision for biometric application
• Emotion and artifact agnostic 3D biometrics by monocular vision
• Multimodal sensors for real-time 3D shape capturing
• 3D face estimation with high occlusion and monocular camera
• 3D information capture under low lighting conditions from the monocular
camera
• 3D biometrics from short videos
• Advancement in inexpensive single-shot sensor technology for 3D
biometrics capture
Submission Guidelines:
Submit your papers at:
https://cmt3.research.microsoft.com/IJCB2023 in a special session track.
The paper presented at this session will be published as part
of the IJCB2023 and should, therefore, follow the same guideline as the
main conference.
Page limit: A paper can be up to 8 pages including figures
and tables, plus additional pages for references only.
Papers will be double-blind peer-reviewed by at least three
reviewers. Please remove author names, affiliations, email addresses, etc.
from the paper. Remove personal acknowledgements.
Important Dates:
Full Paper Submission: July 17, 2023, 23:59:59 PDT
Acceptance Notice: August 17, 2023, 23:59:59 PDT
Camera-Ready Paper: August 21, 2023, 23:59:59 PDT
Organizing Committee:
Abhijit Das, BITS Pilani, India
Aritra Mukherjee, BITS Pilani, India
Xiangyu Zhu, CAS, China