Yonsei University · 工学
Professor Donghyun Kim's research lab specializes in advanced imaging technologies and nanoscale optical sensing, with a strong focus on 3D face recognition using deep learning, stereoscopic visual fatigue assessment, and plasmon-enhanced super-resolution microscopy. The lab develops innovative computational and optical methods to improve biomedical imaging, including in utero fetal brain imaging and nanoscale biosensing using surface plasmon resonance. Key research directions include deep learning for 3D biometrics, visual fatigue metrics for 3D displays, and plasmonic nanostructures for high-resolution and sensitive optical detection.
Figures are computed from collected data and may differ slightly.
We propose a novel 3D face recognition algorithm using a deep convolutional neural network (DCNN) and a 3D face expression augmentation technique. The performance of 2D face recognition algorithms has significantly increased by leveraging the representational power of deep neural networks and the use of large-scale labeled training data. In this paper, we show that transfer learning from a CNN trained on 2D face images can effectively work for 3D face recognition by fine-tuning the CNN with an e
In this letter, we propose a visual fatigue prediction metric which can replace subjective evaluation for stereoscopic images. It detects stereoscopic impairments caused by inappropriate shooting parameters or camera misalignment which induces excessive horizontal and vertical disparities. Pearson's correlation was measured between the proposed metrics and the subjective results by using <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> -fold cros
Super-resolution imaging is performed on metallic nanoislands by plasmonic-based activation of random near-field hot spots. Nanoislands can be synthesized to create small hot spots that spatially distinguish molecular events on the nanometer scale. Enhanced resolution is experimentally confirmed with fluorescent nanobeads, and is extended to imaging the transport of an adenovirus across a live cell membrane.
A nanowire-based surface plasmon resonance (SPR) is investigated as a structure that offers improved sensor performance. The results calculated by rigorous coupled-wave analysis on a model using a hexanedithiol self-assembled monolayer (SAM) indicate that the resonant coupling between localized surface plasmons (LSPs) of nanowires affects the sensitivity enhancement substantially, while the LSP resonance in a single nanowire also contributes. SPR characteristics change significantly by applying
A method of performing diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) of the fetal brain in utero is proposed. The major difficulty of performing diffusion imaging in utero is the presence of motion. By modifying conventional single-shot spin-echo echo-planar DWI with a short repetition time sequence, a sequence that performs DWI and DTI within a breath-hold of the mother (13 sec and 18 sec, respectively) was devised. T(1) weighting caused by the use of short repetition time
In this paper, we propose an experiment that assesses fusional response curve and eye-blink rate to measure visual fatigue induced by stereoscopic videos. A random dot stereogram was utilized to measure the reliable fusional limit and response curve acquired by determining the direction of Landolt C. The results were analyzed to discriminate the individual ability of 3D fusion and compared with the results of subjective evaluation and descriptive self-report. It shows that while watching 3D vide
SMWI presents an alternative contrast for susceptibility-based imaging. The validity of this method was demonstrated using in vivo data. This proposed method together with denoising allows high-quality reconstruction of susceptibility-weighted image of human brain in vivo.
The effect of azimuthal orientation on the electromagnetic coupling of surface plasmons with the incident and diffracted light of a grating-coupled surface-plasmon resonance (GC-SPR) biosensor is investigated, and its practical implications are explored. For this purpose a GC-SPR biosensor model is considered, and well-established rigorous coupled-wave analysis is used. Numerical results indicate significant variations in surface-plasmon resonance characteristics in connection with the interacti
In MRI, structurally aligned molecular or micro-organization (e.g. axonal fibers) can be a source of substantial signal variations that depend on the structural orientation and the applied magnetic field. This signal anisotropy gives us a unique opportunity to explore information that exists at a resolution several orders of magnitude smaller than that of typical MRI. In this review, one of the signal anisotropies, T<sub>2</sub> * anisotropy in white matter, and a related imaging method, gradien
Nanopatterned 2-dimensional Au nanocluster arrays with controlled configuration are fabricated onto reconstructed nanoporous poly(styrene-block-vinylpyridine) inverse micelle monolayer films. Near-field coupling of localized surface plasmons is studied and compared for disordered and ordered core-centered Au NC arrays. Differences in evolution of the absorption band and field enhancement upon Au nanoparticle adsorption are shown. The experimental results are found to be in good agreement with th
We describe an in situ fluorescence optical detection system to demonstrate real-time and non-invasive detection of reaction products in a microfluidic device while under perfusion within a standard incubator. The detection system is designed to be compact and robust for operation inside a mammalian cell culture incubator for quantitative detection of fluorescent signal from microfluidic devices. When compared to a standard plate reader, both systems showed similar biphasic response curves with
Open papers in the app to read, cite, and organize with AI.