November 2012
| 4 | 2012-11-27 | Robust Face Recognition via Sparse Representation | Woongbi Lee | (pdf) | (pdf) |
| In this paper, sparse signal representation is investigated for recognizing human faces from frontal view with varying expression and illumination, as well as occlusion and disguise. Based on a sparse representation computed by l1-minimization, this face recognition problem is cast as a general classification among multiple linear regression models. Even with severe occlusion and corruption, their algorithms show high performance classification of high dimensional data. | |||||
| 3 | 2012-11-20 | An EEG-Based BCI System for 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential | Younghak Shin | ppt | ppt |
| In this paper, they have proposed a 2-D cursor control application for BCI system by combining motorimagery and P300 potential. They use two independent signals for controlling vertical and horizontal movements of a cursor simultaneously. They was assessed six subjects through an online experiment. The six subjects successfully carried out 2-D cursor control with satisfactory accuracies. | |||||
| 2 | 2012-11-13 | Compressed sensing with off-axis frequency-shifting holography | Hwanchol Jang | (pdf) | (pdf) |
| This work reveals an experimental microscopy acquisition scheme successfully combining compressed sensing (CS) and digital holography in off-axis and frequency-shifting conditions. CS is a recent data acquisition theory involving signal reconstruction from randomly undersampled measurements, exploiting the fact that most images present some compact structure and redundancy. We propose a genuine CS-based imaging scheme for sparse gradient images, acquiring a diffraction map of the optical field with holographic microscopy and recovering the signal from as little as 7% of random measurements. We report experimental results demonstrating how CS can lead to an elegant and effective way to reconstruct images, opening the door for new microscopy applications. | |||||
| 1 | 2012-11-06 | Digital holography for quantitative phase-contrast imaging | Nitin Rawat | (pdf) | |
| In the paper, they have presented a new application of digital holography for phase-contrast imaging. The technique uses a CCD camera for recording of a digital Fresnel off-axis hologram and a numerical method for hologram reconstruction. The method simultaneously provides an amplitude-contrast image and a quantitative phase-contrast image. | |||||