—Understanding the effect of blur is an important problem in unconstrained visual analysis. We address this problem in the context of image-based recognition, by a fusion of imag...
Raghuraman Gopalan, Sima Taheri, Pavan K. Turaga, ...
In order to handle complex face image variations in face recognition, multi-image face recognition has been proposed, instead of using a single still-imagebased approach. In many ...
For face recognition from video streams often cues such as transcripts, subtitles or on-screen text are available. This information could be very valuable for improving the recogni...
—Patch-based face recognition is a recent method which uses the idea of analyzing face images locally, in order to reduce the effects of illumination changes and partial occlusio...
In this paper we present a new architecture for face recognition with a single reference image, which completely separates the training process from the recognition process. In th...