• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1152-1153
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• 2009

Although motion impression is weak with isoluminant color stimuli, it has been shown that color signals influence motion perception. We discuss similarities and differences between color motion and luminance motion, focusing on temporal characteristics of the perception of the 2D and 3D motion.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.383-383
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• 2000

In this paper, a motion adaptation control is applied for animation of 3-D human character. The method includes parameterization of joint motion data, motion adaptation based on body ratio of character, dynamic adaptation using genetic algorithm, etc. The feasibility of motion adaptation technique is verified by applying to motion control and adaptation of a 3-D human character.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.35 no.9
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• pp.753-760
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• 2007

In a 3-D flapping motion, the spanwise flow is generated while the wing is moved on the stroke plane. And at the end of each stroke, the rotational circulation is generated due to a wing rotation. In this study, to evaluate the effect of spanwise flow and wing rotation on the aerodynamic characteristics in 3-D flap 753ping motion, a 3-D flapping motion was compared with a 2-D translating motion. In each flapping motion, the aerodynamic forces were measured with respect to the angles of attack and Reynolds number. The aerodynamic forces generated by 2-D translating motion were higher than those generated by 3-D flapping motion. While the lift of 3-D flapping motion was increased until the angle of attack $60^{\circ}$ at mid-stroke, the lift generated by 2-D translating motion was decreased above the angle of attack 40° at mid stroke. Also, at the end of each stroke, the aerodynamic forces were increased rapidly due to wing rotation.

• Journal of the Optical Society of Korea
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• v.14 no.4
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• pp.383-387
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• 2010

The stereoscopic three-dimensional (3D) display provides a 3D image by inducing binocular disparity for the observers who wear special glasses. With the rapid progress in flat panel display technologies, the stereoscopic 3D display is becoming a new benefit-model of the current display industry, and several kinds of commercial stereoscopic 3D products have been released and are attracting people. Nowadays, the motion picture quality of the 3D image becomes as important as resolution or luminance since most of the commercial 3D products are 3D televisions or 3D monitors which are required to display a clear motion 3D image. In this paper, an analysis and simulation of the motion picture quality of stereoscopic 3D image is proposed, and a comparison of the motion picture performance among the current stereoscopic 3D technologies is also provided.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.339-344
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• 2007

이동통신 단말기의 그래픽 유저 인터페이스 환경은 다양한 요인에 의하여 그 변화를 자극 받고 있다. 한정된 디스플레이 공간 안에서의 다 기능화로 인한 사용성의 문제, 정적이고 지시적인 상황에 익숙한 문자 중심의 세대에서 자율적이고 동적인 영상 중심의 세대로의 사용자 세대의 변화, 합리적 소비 보다는 감성적 만족을 중요하게 여기는 사용자 가치의 변화, 그래픽 디자인 트랜드의 변화, 서비스 컨텐츠의 변화, 기술의 발전 등 이동통신 단말기를 둘러싼 모든 측면에서 변화가 진행되고 있다. 여기에 이동통신 단말기 제조사, 서비스 업체, 컨텐츠 업체, 칩 제조사 등 이동통신 서비스와 관련된 다양한 사업 주체들의 복잡한 이해관계 속에서의 경쟁 또한 이러한 변화를 부추기는 요인의 하나로 볼 수 있다. 본 연구에서는 이러한 변화요인들을 적절히 수렴하여 제공할 수 있는 보다 효과적인 그래픽 유져 인터페이스 디자인 방법을 모색하고자 하였으며, 보다 효율적이고 적극적인 개선을 위해 현재 이동통신 단말기의 GUI 디자인의 주요 디자인 수단인 Bitmap 또는 Vector 그래픽 대신 보다 다양한 시각적 표현 방법을 내재하고 있는 3D 기반의 Motion 그래픽을 활용한 이동통신 단말기의 GUI 디자인 방법을 제안 하고자 한다. 하지만 아직 여러가지 제약 조건들로 인하여 이동통신 단말기 내에서 3D Motion 그래픽의 적용이 완전히 자유롭지 않은 것이 사실이다. 그러나 기술의 발전 속도로 볼 때 머지 않아 3D Motion GUI 제공을 위한 이동통신 단말기의 기술적 환경은 충분히 발전될 것이며, 이에 따라 본 연구와 같이 3D 그래픽이나 Motion 그래픽을 등을 활용한 이동통신 단말기의 사용자 인터페이스 연구의 선행은 매우 필요하다고 볼 수 있다.

• Fashion & Textile Research Journal
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• v.18 no.3
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• pp.338-350
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• 2016

The purpose of this study is to analyze joint angle for a range of swing motion derived through 3D motion analysis in order to design the ergonomic golf wear, use it for evaluation method of apparel fit to improve exercise functionality and provide the basic materials necessary for designing clothes. In order to do this, the subjects for this study were 3 men of age 20s. The data for a range of motion of golf swing were collected by using equipment for 3D motion analysis and then were used for analysis of joint angles and evaluation method of apparel fit. Range of motion was derived through 3D motion analysis of golf swing motion and joint angles for items of joint motion item and of X, Y, and Z-axis were calculated, respectively. In order to set the evaluation questions for evaluation of apparel fit, to find a range of motion at the maximal value and the minimal value of swing motion. As a result, during the swinging motion, neck extension, right shoulder extension, right/left elbow extension, right/left elbow supination did not appear. Items of joint motion showing the maximum at range of each swing motion were applied into 55 questions and consisted. The results of this study were meaningful as a basic study to apply 3D motion analysis to the fashion industry. It's expected to be used to design functional clothing.

• Journal of Broadcast Engineering
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• v.22 no.4
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• pp.429-437
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• 2017

2D-to-3D conversion technology has been studied over past decades and integrated to commercial 3D displays and 3DTVs. Generally, depth cues extracted from a static image is used for generating a depth map followed by DIBR (Depth Image Based Rendering) for producing a stereoscopic image. Further, motion is also an important cue for depth estimation and is estimated by block-based motion estimation, optical flow and so forth. This papers proposes a new method for motion depth generation using Motion History Image (MHI) and evaluates the feasiblity of the MHI utilization. In the experiments, the proposed method was performed on eight video clips with a variety of motion classes. From a qualitative test on motion depth maps as well as the comparison of the processing time, we validated the feasibility of the proposed method.

• Journal of Korea Multimedia Society
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• v.10 no.6
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• pp.716-725
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• 2007

In this paper we describe a motion tracking algorithm for 3D human animation using stereo vision system. This allows us to extract the motion data of the end effectors of human body by following the movement through segmentation process in HIS or RGB color model, and then blob analysis is used to detect robust shape. When two hands or two foots are crossed at any position and become disjointed, an adaptive algorithm is presented to recognize whether it is left or right one. And the real motion is the 3-D coordinate motion. A mono image data is a data of 2D coordinate. This data doesn't acquire distance from a camera. By stereo vision like human vision, we can acquire a data of 3D motion such as left, right motion from bottom and distance of objects from camera. This requests a depth value including x axis and y axis coordinate in mono image for transforming 3D coordinate. This depth value(z axis) is calculated by disparity of stereo vision by using only end-effectors of images. The position of the inner joints is calculated and 3D character can be visualized using inverse kinematics.

• Journal of Electrical Engineering and information Science
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• v.1 no.2
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• pp.77-86
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• 1996

In this paper we deal with the problem of recovering 3-D motion and structure from a time-varying 2-D velocity vector field. A great deal has been done on this topic, most of which has concentrated on finding necessary and sufficient conditions for there to be a unique 3-D solution corresponding to a given 2-D motion. While previous work provides useful theoretical insight, in most situations the known algorithms have turned out to be too sensitive to be of much practical use. It appears that any robust algorithm must improve the 3-D solutions over time. As a step toward such algorithm, we present a method for recovering 3-D motion and structure from a given time-varying 2-D velocity vector field. The surface of the object in the scene is assumed to be locally planar. It is also assumed that 3-D velocity vectors are piecewise constant over three consecutive frames (or two snapshots of flow field). Our formulation relates 3-D motion and object geometry with the optical flow vector as well as its spatial and temporal derivatives. The linearization parameters, or equivalently, the first-order flow approximation (in space and time) is sufficient to recover rigid body motion and local surface structure from the local instantaneous flow field. We also demonstrate, through a sensitivity analysis carried out for synthetic and natural motions in space, that 3-D motion can be recovered reliably.

• Journal of KIISE:Software and Applications
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• v.27 no.6
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• pp.618-631
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• 2000

In this paper, we suggest the method of 3D facial synthesis using the motion of 2D facial images. We use the optical flow-based method for estimation of motion. We extract parameterized motion vectors using optical flow between two adjacent image sequences in order to estimate the facial features and the facial motion in 2D image sequences. Then, we combine parameters of the parameterized motion vectors and estimate facial motion information. We use the parameterized vector model according to the facial features. Our motion vector models are eye area, lip-eyebrow area, and face area. Combining 2D facial motion information with 3D facial model action unit, we synthesize the 3D facial model.