The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Face Match for Family Reunification: Real-World Face Image Retrieval
Abstract
Despite the many advances in face recognition technology, practical face detection and matching for unconstrained images remain challenging. A real-world Face Image Retrieval (FIR) system is described in this paper. It is based on optimally weighted image descriptor ensemble utilized in single-image-per-person (SIPP) approach that works with large unconstrained digital photo collections. The described visual search can be deployed in many applications, e.g. person location in post-disaster scenarios, helping families reunite quicker. It provides efficient means for face detection, matching and annotation, working with images of variable quality, requiring no time-consuming training, yet showing commercial performance levels.
Related Content
Aswathy Ravikumar, Harini Sriraman.
© 2023.
18 pages.
|
Ezhilarasie R., Aishwarya N., Subramani V., Umamakeswari A..
© 2023.
10 pages.
|
Sangeetha J..
© 2023.
13 pages.
|
Manivannan Doraipandian, Sriram J., Yathishan D., Palanivel S..
© 2023.
14 pages.
|
T. Kavitha, Malini S., Senbagavalli G..
© 2023.
36 pages.
|
Uma K. V., Aakash V., Deisy C..
© 2023.
23 pages.
|
Alageswaran Ramaiah, Arun K. S., Yathishan D., Sriram J., Palanivel S..
© 2023.
17 pages.
|
|
|