Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Face Detection
International Journal of Computer Vision
Handbook of Face Recognition
Robust Face Recognition via Sparse Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Enhancing face recognition at a distance using super resolution
Proceedings of the on Multimedia and security
Nighttime face recognition at long distance: cross-distance and cross-spectral matching
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
Hi-index | 0.00 |
In this paper, we present an empirical study on exploring the Light Field Camera (LFC) for identifying multiple faces present at different distance. Since LFC can render multiple focus images in single exposure, one can combine these multiple images to obtain single all-in-focus image. Thus the constructed all-in-focus image will have all regions in focus and hence allows one to capture more information about the subject present even at a far distance. At the same time one can also construct the super resolution image to further improve the face recognition at a distance. Thus, in this work, we explore both all-in-focus and super resolution schemes to evaluate the multiple face recognition at a distance using LFC. We carry out extensive experiments on light field face dataset and present both qualitative and quantitative results.