Abstract
Face recognition has gained a great importance in recent years due to the increasing demands of the realworld applications. The modality-independent face recognition also known as heterogeneous face recognition is useful in many applications. Here modality refers to different lighting scenarios in which the picture of the subject is taken. Modality-independent face recognition addresses the issues of low illumination, discrepancies based on the modalities that is recognition of one image from the other image captured from two different sources for the same subject. To address this issue we have made use of mutual information concept. The mutual information between input and gallery images has been used to find the appropriate match between multi-modal images. The idea here is to find the appropriate match between a sketch and a photograph of the same subject. The proposed methodology is useful in crime investigation, law enforcement and for surveillance purposes.
| Original language | English |
|---|---|
| Title of host publication | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1080-1084 |
| Number of pages | 5 |
| Volume | 2017-January |
| ISBN (Electronic) | 9781509063673 |
| DOIs | |
| Publication status | Published - 30-11-2017 |
| Event | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 - Manipal, Mangalore, India Duration: 13-09-2017 → 16-09-2017 |
Conference
| Conference | 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017 |
|---|---|
| Country | India |
| City | Manipal, Mangalore |
| Period | 13-09-17 → 16-09-17 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Information Systems
Cite this
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Multi-modality face recognition : An information theoretic approach. / Supriy, Musica; Singh, Sanjay.
2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017. Vol. 2017-January Institute of Electrical and Electronics Engineers Inc., 2017. p. 1080-1084.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Multi-modality face recognition
T2 - An information theoretic approach
AU - Supriy, Musica
AU - Singh, Sanjay
PY - 2017/11/30
Y1 - 2017/11/30
N2 - Face recognition has gained a great importance in recent years due to the increasing demands of the realworld applications. The modality-independent face recognition also known as heterogeneous face recognition is useful in many applications. Here modality refers to different lighting scenarios in which the picture of the subject is taken. Modality-independent face recognition addresses the issues of low illumination, discrepancies based on the modalities that is recognition of one image from the other image captured from two different sources for the same subject. To address this issue we have made use of mutual information concept. The mutual information between input and gallery images has been used to find the appropriate match between multi-modal images. The idea here is to find the appropriate match between a sketch and a photograph of the same subject. The proposed methodology is useful in crime investigation, law enforcement and for surveillance purposes.
AB - Face recognition has gained a great importance in recent years due to the increasing demands of the realworld applications. The modality-independent face recognition also known as heterogeneous face recognition is useful in many applications. Here modality refers to different lighting scenarios in which the picture of the subject is taken. Modality-independent face recognition addresses the issues of low illumination, discrepancies based on the modalities that is recognition of one image from the other image captured from two different sources for the same subject. To address this issue we have made use of mutual information concept. The mutual information between input and gallery images has been used to find the appropriate match between multi-modal images. The idea here is to find the appropriate match between a sketch and a photograph of the same subject. The proposed methodology is useful in crime investigation, law enforcement and for surveillance purposes.
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UR - http://www.scopus.com/inward/citedby.url?scp=85042771057&partnerID=8YFLogxK
U2 - 10.1109/ICACCI.2017.8125985
DO - 10.1109/ICACCI.2017.8125985
M3 - Conference contribution
AN - SCOPUS:85042771057
VL - 2017-January
SP - 1080
EP - 1084
BT - 2017 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -