Paper Info
Title
Explicit and implicit employment of edge-related information in super-resolving distant faces for recognition
Abstract
Edges and related features play significant role in discriminating face images. But those features are not enough informative when the face images are captured from a distance (e.g., video surveillance). Traditionally, those features are enhanced by super-resolving low-resolution grayscale face images. In this paper, we demonstrate a superior performance by directly considering such features (continuous gradient value, also known as edginess) in the super-resolution process. Edginess features are extracted using 1-D processing of image. This process is carried out along different directions to obtain partial evidences, which are combined to detect the person's identity. Here, super-resolution of the face image and its recognition has been performed in sparse domain framework. The explicit usage of edginess feature in the proposed approach shows considerable improvement in both recognition performance as well as computational time, as only the patches related to strong edges are considered for super-resolution. In addition to that, the edginess feature gives improved recognition rate when it is preserved implicitly during super-resolution in grayscale domain.
Year
DOI
Venue
2016
10.1007/s10044-015-0512-0
Pattern Anal. Appl.
Keywords
DocType
Volume
Face recognition, Super-resolution, Sparse domain, Dictionary, Edginess
Journal
19
Issue
ISSN
Citations 
3
1433-755X
5
PageRank 
References 
Authors
0.39
45
3
Name
Order
Citations
PageRank
Srimanta Mandal1505.42
shejin thavalengal2625.73
Anil Kumar Sao312919.67