Deokwoo Lee

Keimyung University · Department of Computer Engineering

Early detection and prevention of stress is crucial because stress affects our vital signs like heart rate, blood pressure, skin temperature, respiratory rate, and heart rate variability. There are different ways to determine stress using different devices, such as the electrocardiogram (ECG), electrodermal activity (EDA), the electroencephalogram...

The measurement of vital signs such as blood pressure plays a key role in human health. Usually, we encounter some problems when we check them in the traditional way; for example, it is impossible to check continuously, and measuring vital signs requires direct contact with the patient, which can be uncomfortable for certain individuals. In this re...

In order to improve the electrochemical performance of lithium-ion batteries, a new kind of composite membrane made using inorganic nanofibers has been developed via electrospinning and the solvent-nonsolvent exchange process. The resultant membranes present free-standing and flexible properties and have a continuous network structure of inorganic...

This paper proposes facial expression recognition (FER) with the wild data set. In particular, this paper chiefly deals with two issues, occlusion and intra-similarity problems. The attention mechanism enables one to use the most relevant areas of facial images for specific expressions, and the triplet loss function solves the intra-similarity prob...

This paper proposes the approach to calibration of a thermal camera that has three viewpoints. This work estimates the intrinsic parameters of the camera by establishing geometric relationship between real-world scene points and image points. This work estimates the extrinsic parameters, i.e., rotation and translation of the camera using vanishing...

With the development of artificial intelligence, the field of sentiment analysis can be used in various industries such as computer-human interaction technology, personal status monitoring, criminal investigation, and entertainment. In the field of sentiment analysis, various methods such as facial expression, voice, EEG signal, and text are being...

This paper proposes the approach to calibration of a thermal camera that has three viewpoints. This work estimates the intrinsic parameters of the camera by establishing geometric relationship between real-world scene points and image points. This work estimates the extrinsic parameters , i.e., rotation and translation of the camera using vanishing...

This paper proposes an approach to the classification of respiration states based on a neural network model by visualizing respiratory signals using a spectrogram. The analysis and processing of human biosignals are still considered some of the most crucial and fundamental research areas in both signal processing and medical applications. Recently,...

Shared memory is the most popular parallel programming model for multi-core processors, while message passing is generally used for large distributed machines. However, as the number of cores on a chip increases, the relative merits of shared memory versus message passing change, and we argue that message passing becomes a viable, high performing,...

While human activity recognition and pose estimation are closely related, these two issues are usually treated as separate tasks. In this thesis, two-dimension and three-dimension pose estimation is obtained for human activity recognition in a video sequence, and final activity is determined by combining it with an activity algorithm with visual at...

Recovery of three-dimensional (3D) coordinates using a set of images with texture mapping to generate a 3D mesh has been of great interest in computer graphics and 3D imaging applications. This work aims to propose an approach to adaptive view selection (AVS) that determines the optimal number of images to generate the synthesis result using the 3D...

This study proposes an approach for process-focused assessment (PFA) utilizing the concept of deep neural networks with a sequence of facial images. Recently, process-based assessment has received significant attention compared to result-based assessment in the field of education. Continuously evaluating and quantifying student engagement, as well...

In this paper, we propose a novel approach for the detection of abnormal signals from multiple respiration signals. An ultrawide-band (UWB) radar was used to acquire respiration signals that represent a distance from the chest to the radar sensor, i.e., shape variation of the chest due to breathing (inhaling or exhaling) activity provides quantitat...

Activity recognition and pose estimation are ingeneral closely related in practical applications, even though they are considered to be independent tasks. In this paper, we propose an artificial 3D coordinates and CNN that is for combining activity recognition and pose estimation with 2D and 3D static/dynamic images(dynamic images are composed of a...

The purpose of this study is to design a new lightweight explainable deep model instead of deep neural networks (DNN) because of its high memory and processing resource requirement as well as black-box training although DNN is a powerful algorithm for classification and regression problems. This study propose a non-neural network style deep model b...

: This paper proposes an approach to face recognition by using the L2-norm method, and suggests an algorithm to solve the overdetermined system problem, which is one of the practical issues. The proposed approach is fully utilized, and it consists of incremental QR decomposition and block-wise matrix inversion. In this paper, L2-norm based algorith...

: This paper proposes an approach to the estimation of a relative rotation of stereo images. To this end, it endeavors to achieve the self-calibration of a depth camera. In the past few years, the depth camera system has been embedded in mobile devices, and this trend requires an acquisition of camera parameters in real time and in an efficient man...

: This paper proposes an alternative approach to a pulse shaping filter, a modified, raised cosine filter, which is aimed at using bandwidth efficiently. One of the issues inherent in the existing raised cosine filter is the trade-off between bandwidth efficiency and the performance of avoidance(or minimization) of the inter symbol interference(ISI...

This paper proposes the approaches to estimation of relative rotation between a pair of images based on the properties of Fourier Transform of a 2-dimensional image. Alternative to finding homography using epipolar geometry of feature points sampled from a pair of images, an amount of rotation is estimated by analyzing the images in frequency domai...

Alternative approaches to three-dimensional (3-D) reconstruction by employing the concepts of "system identification" and "communication systems" based on structured light patterns are proposed. In addition, a sampling criterion of the light source is derived in the case of using multiple projectors because 3-D reconstruction sometimes employs mult...

A sampling criterion for a surface reconstruction using structured light patterns is derived in this article. The problem of signal recovery from its samples is addressed, and a salient spatial frequency component of an object is defined for a sampling rate determination. The authors introduce 3D object coordinate extraction from a 2D captured imag...

One of the most significant problems in image and vision applications is the efficient representation of a target image containing a large amount of data with high complexity. The ability to analyze high dimensional signals in a lower dimension without losing their information, has been crucial in the field of image processing. This paper proposes...

This paper proposes an approach to multiple view-projection systems planning for a 3D object reconstruction in a practical settings. A I/O system theoretic is adopted and, viewpoints and light sources which are located at different positions are respectively the output and the input. The system identification is defined by a relationship between in...

The problem of 3D reconstruction from 2D captured images is solved using a set of cocentric circular light patterns. Once the number of light sources and cameras, their location and the orientations, and the sampling density (the number of circular patterns) are determined, we propose a novel approach to representation of the reconstruction problem...

The sampling rate for signal reconstruction has been and remains an important and central criterion in numerous applications. We propose, in this paper, a new approach to determining an optimal sampling rate for a 2D-surface reconstruction using the so-called Two-Thirds Power Law. This paper first introduces an algorithm of a 2D surface reconstruct...

Reconstructing a 3D surface in ℝ3 from a 2D image in ℝ2 has been a widely studied issue as well as one of the most important problems in image processing. In this paper, we propose a novel approach to reconstructing 3D coordinates of a surface from a 2D image taken by a camera using projected circular light patterns. Known information (i.e. intrins...