Paper Info
Title
An investigation into the use of partial face in the mobile environment
Abstract
Face recognition has been extensively explored in diversified applications on ubiquitous devices. Most of the research has been primarily focused on full frontal/profile of facial images while proposing novice techniques to pursue this problem. The resource constraint in Mobile devices adds more complexity to the face recognition process. To reduce computational requirements some investigations are made to use the partial faces for recognition process. However, the inadequate information in partial faces makes the problem much more challenging and therefore limited attempts have been made in this direction. Our Active pixel based approach is capable of recognizing the persons using either full or partial face information. The technique reduces the computational resources compared to the LBP which was claimed as one of the most suitable approach on mobile devices. We have carried out the experiments on the YALE facial databases. Other works [1, 2] have used 50% vertical portion and showed the accuracy of correct recognition 94% within best five matches. In our dynamic partial matching we have used 10% to 34% image and obtained correct recognition rate from 96% to 100% within best three matches.
Year
DOI
Venue
2011
10.1007/978-3-642-24031-7_53
ISVC
Keywords
Field
DocType
computational requirement,partial face information,mobile environment,face recognition,yale facial databases,face recognition process,correct recognition,mobile device,recognition process,partial face,correct recognition rate
Computer vision,Facial recognition system,Three-dimensional face recognition,Pattern recognition,Computer science,Mobile device,Pixel,Artificial intelligence,Face detection
Conference
Citations 
PageRank 
References 
0
0.34
7
Authors
5
Name
Order
Citations
PageRank
G. Mallikarjuna Rao111.38
Praveen Kumar2645.99
G. Vijaya Kumari311.37
Amit Pande426924.58
G. R. Babu541.13