• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.2355-2357
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• 2001

색상정보는 물체의 특성을 나타내는 고유한 특징점이 될 수 있으며, 물체를 인식하는데 중요한 정보를 제공한다. 색상정보를 이용한 얼굴영역의 추출은 얼굴의 방향이나 형태의 변화에 덜 민감하고 그 추출속도가 빠르다는 장점 때문에 많이 사용된다. 그러나 색상정보는 조명의 변화에 따라 민감하게 바뀐다는 단점을 가진다. 또한 실내환경에서 피부색과 유사한 배경이나 배경물체들이 많이 존재한다. 이러한 조명의 변화나 배경들이 존재하는 경우에 피부색을 이용한 얼굴 추출은 실패하기 쉽다. 본 논문에서는 이러한 단점을 극복하기 위하여 피부색상 모델의 추적을 행하였으며, 얼굴의 움직임데이터로부터 타원근사를 이용하는 방식을 제안하였다. 또한 카메라는 팬틸트 장치에 탑재되어서 사람의 얼굴을 추적하도록 하였다.

• Current Optics and Photonics
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• v.3 no.3
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• pp.204-209
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• 2019

In an optical interferometer that uses sinusoidal modulation and quadrature detection, the amplitude and offset of the interference signal vary with time, even without considering system noise. As a result, the circular Lissajous figure becomes elliptical, with wide lines. We propose and experimentally demonstrate a method for compensating quadrature detection error, based on digital signal processing to deal with scaling and fitting. In scaling, fluctuations in the amplitudes of in-phase and quadrature signals are compensated, and the scaled signals are fitted to a Lissajous unit circle. To do so, we scale the average fluctuation, remove the offset, and fit the ellipse to a unit circle. Our measurements of a target moving with uniform velocity show that we reduce quadrature detection error from 5 to 2 nanometers.

• Journal of Sensor Science and Technology
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• v.30 no.3
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• pp.125-130
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• 2021

In this study, the degree of alignment of polymer microfibers produced by electrospinning using a rotating water collector was evaluated. Aligned micro- and nano-fibers are required in various practical applications involving anisotropic properties. The degree of fiber alignment has many significant effects; hence, and accurate quantitative analysis of fiber alignment is necessary. Therefore, this study developed a simple and efficient method based on two-dimensional fast Fourier transform, followed by ellipse fitting. As a demonstrative example, the polymer microfibers were electrospun on the rotating water collector as the alignment of microfibers can be easily controlled. The analysis shows that the flow velocity of the liquid collector significantly affects the electrospun microfiber alignment, that is, the higher the flow velocity of the liquid collector, the greater is the degree of microfiber alignment. This method can be used for analyzing the fiber alignment in various fields such as smart sensors, fibers, composites, and textile engineering.

• Journal of the Semiconductor & Display Technology
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• v.4 no.1 s.10
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• pp.61-64
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• 2005

This study presents a new algorithm to detect the facial feature in a color image entered from the mobile device with complex backgrounds and undefined distance between camera's location and the face. Since skin color model with Hough transformation spent approximately 90$\%$ of running time to extract the fitting ellipse for detection of the facial feature, we have changed the approach to the simple geometric vector operation, called a TS(Triangle-Square) transformation. As the experimental results, this gives benefit of reduced run time. We have similar ratio of face detection to other methods with fast speed enough to be used on real-time identification system in mobile environments.

• Journal of the Korea Computer Graphics Society
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• v.8 no.4
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• pp.1-7
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• 2002

This paper presents a new approach for modeling human limbs shape from 3D scan data. Based on the cylindrical structure of limbs, the overall shape is approximated with a set of ellipsoids through ellipsoid fitting and interpolation of fit-ellipsoids. Then, the smooth domain surface representing the coarse shape is generated as the envelope surface of ellipsoidal sweep, and the fine details are reconstructed by constructing parametric displacement function on the domain surface. For fast calculation, the envelope surface is approximated with ellipse sweep surface, and points on the reconstructed surface are mapped onto the corresponding ellipsoid. We demonstrate the effectiveness of our approach for skeleton-driven body deformation.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2012.07a
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• pp.271-274
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• 2012

음성 신호처리에서 많이 쓰이는 음성구간 검출은 주로 음향신호의 분석을 통하여 음향 신호에 음성이 존재하는지 여부를 판단한다. 그러나 음향신호를 이용한 방법은 음성 또는 비음성 잡음이나 주위 음향 환경에 의하여 성능이 결정된다는 단점이 있다. 음향 환경 변화에 강인한 음성구간 검출을 수행하기 위하여, 영상정보를 이용한 음성구간 검출 방법들이 최근에 연구되어 왔는데 기존 방법들은 입술 모양의 변화를 추정하기 위하여 입술 모델 등을 이용하거나 구강(oral cavity) 영역에 해당하는 픽셀 수의 변화를 이용하여 음성 구간을 검출하였다. 위 방법들은 입술의 모양을 추정하는 데 복잡한 계산이 필요하거나, 입술 모양 추정 없이 구강 영역픽셀 수만 이용하기 때문에 다소 정확도가 떨어진다는 단점이 있다. 본 논문에서는, 입술 모양의 변화를 추정하기 위해 밖으로 드러나는 구강 영역의 모양을 타원 근사법으로 추정하고, 타원의 넓이와 높이의 변화를 이용하여 음성 구간을 검출하는 방법을 제안하였다. 비교 실험 결과, 제안하는 방법은 구강영역 픽셀 수의 변화만 이용하는 방법에 비해 우수한 성능을 보임을 확인할 수 있었다.

• Proceedings of the KSME Conference
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• 2004.04a
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• pp.1682-1686
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• 2004

A slit-flow apparatus with laser diffraction method has been developed with significant advances in ektacytometry design, operation and data analysis. In the slit-flow ektacytometry (or laser-diffractometry), the deformation of red blood cells subjected to continuously decreasing shear stress in slit flow is measured. A laser beam traverses a diluted blood suspension flowing through a slit and is diffracted by RBCs in the volume. The diffraction patterns are captured by a CCD-video camera, linked to a frame grabber integrated with a computer, while the differential pressure variation is measured by a pressure transducer. Both measurements of laser-diffraction image and pressure with respect to time enable to determine deformation index and the shear stress. The range of shear stress of 0 ${\sim}$ 35 Pa and measuring time is less than 2 min. When deforming under decreasing shear stress, RBCs change gradually from the prolate ellipsoid towards a circular biconcave morphology. The Deformation Index (DI) as a measure of RBC deformability is determined from an isointensity curve in the diffraction pattern using an ellipse-fitting program. The advantages of this design are simplicity, i.e., ease of operation and no moving parts, low cost, short operating time, and the disposable kit which is contacted with blood sample.

• The Bulletin of The Korean Astronomical Society
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• v.43 no.2
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• pp.54.2-54.2
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• 2018

나선 은하의 60%의 은하들은 그 중심에 막대를 가지고 있다고 알려져 있다. 그리고 막대 은하들 중 다시 30%의 은하들이 그 중심에 두 번째 막대를 가지고 있다는 보고들이 있었다. 우리는 SDSS/DR7을 기반으로 z < 0.01 안에 은하들을 눈으로 분류한 Ann et al. (2015) 카탈로그 중 Lee et al. (2018, submitted)에서 사용된 Mr = -15.2 보다 밝고, $60^{\circ}$이하로 기울어진 막대 은하 553개를 이용하여 막대 안에 있는 두 번째 막대를 찾고자 했다. 우리는 ellipse fitting profile을 조사하여 58개의 은하들에서 그 중심에 기존 막대의 형태를 따르지 않고 장축이 어긋나 있으며, 타원율에 변화를 보이는 두 번째 막대의 흔적을 찾았다. 그 중 9개의 은하에서 색지도, 등광도 그리고 unsharp image 등에서 두 번째 막대를 확인했다. 이것은 이전의 30개 내외의 은하들를 대상으로 했던 연구들에서 확인된 것에 비해 매우 적은 비율이라 할 수 있다. 9개의 두 번째 막대들 중 5개는 강한 막대 (SB)안에서 발달해 있고, 4개는 약한 막대 (SAB) 안에 발달해 있어, 수치적으로는 두 번째 막대의 강한 막대와 약한 막대 사이의 선호도 차이는 없어 보인다. 하지만, 약한 막대 안에 발달해 있는 두 번째 막대들은 막대와 서로 다른 방향의 타원 구조만 보이는 반면, 강한 막대 안에 발달해 있는 두번째 막대들은 nuclear ring, nuclear arm등과 함께 더욱 발달된 모습을 보인다. 또한 두 번째 막대를 가지고 있는 8개의 은하 모두에서 주 막대를 따라 중심부로 길게 늘어서 먼지 띠가 뚜렷하게 보이고, 허블 분류에서는 Sab(T=3), Sb (T=4)에 주로 분포해있다.

• Journal of Korea Multimedia Society
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• v.13 no.7
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• pp.1000-1015
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• 2010

In this paper, we propose a novel algorithm for hand gesture recognition. The hand detection method is based on human skin color, and we use the boundary energy information to locate the hand region accurately, then the moment method will be employed to locate the hand palm center. Hand gesture recognition can be separated into 2 step: firstly, the hand posture recognition: we employ the parallel NNs to deal with problem of hand posture recognition, pattern of a hand posture can be extracted by utilize the fitting ellipses method, which separates the detected hand region by 12 ellipses and calculates the white pixels rate in ellipse line. the pattern will be input to the NNs with 12 input nodes, the NNs contains 4 output nodes, each output node out a value within 0~1, the posture is then represented by composed of the 4 output codes. Secondly, the hand gesture tracking and recognition: we employed the Kalman filter to predict the position information of gesture to create the position sequence, distance relationship between positions will be used to confirm the gesture. The simulation have been performed on Windows XP to evaluate the efficiency of the algorithm, for recognizing the hand posture, we used 300 training images to train the recognizing machine and used 200 images to test the machine, the correct number is up to 194. And for testing the hand tracking recognition part, we make 1200 times gesture (each gesture 400 times), the total correct number is 1002 times. These results shows that the proposed gesture recognition algorithm can achieve an endurable job for detecting the hand and its' gesture.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1162-1170
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• 2014

In this paper, an accurate remote gaze tracking method with two cameras is presented using a modified Starburst algorithm and honography normalization. Starburst algorithm, which was originally developed for head-mounted systems, often fails in detecting accurate pupil centers in remote tracking systems with a larger field of view due to lots of noises. A region of interest area for pupil is found using template matching, and then only within this area Starburst algorithm is applied to yield pupil boundary candidate points. These are used in improved RANSAC ellipse fitting to produce the pupil center. For gaze estimation robust to head movement, an improved homography normalization using four LEDs and calibration based on high order polynomials is proposed. Finally, it is shown that accuracy and robustness of the system is improved using two cameras rather than one camera.