Call for Papers

IJCB 2023 - Special Session on 3D Biometrics with Monocular Vision

n 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
considerable 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, ChinaIn 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