• Title/Summary/Keyword: 가림

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Face Detection and Tracking using Skin Color Information and Haar-Like Features in Real-Time Video (실시간 영상에서 피부색상 정보와 Haar-Like Feature를 이용한 얼굴 검출 및 추적)

  • Kim, Dong-Hyeon;Im, Jae-Hyun;Kim, Dae-Hee;Kim, Tae-Kyung;Paik, Joon-Ki
    • 한국HCI학회:학술대회논문집
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    • 2009.02a
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    • pp.146-149
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    • 2009
  • Face detection and recognition in real-time video constitutes one of the recent topics in the field of computer vision. In this paper, we propose face detection and tracking algorithm using the skin color and haar-like feature in real-time video sequence. The proposed algorithm further includes color space to enhance the result using haar-like feature and skin color. Experiment results reveal the real-time video processing speed and improvement in the rate of tracking.

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A Study on the Expressivity of Covering and Exposing of Architecture Surface after Modern Architecture - Focused on the Tectonic Concept through Semper's Theory "Dressing" - (근·현대 건축표면의 가림과 드러냄의 표현성에 관한 연구 - 젬퍼의 피복론을 통한 텍토닉개념을 중심으로 -)

  • Oh, Sang-Eun
    • Korean Institute of Interior Design Journal
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    • v.23 no.3
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    • pp.29-38
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    • 2014
  • This paper is to analysis covering and exposing elements through surface in the spirit of the time through the meaning of relationship between structure and symbol(ornament) in the theory of dressing of Gottfrid Semper. In other words, The purpose is to illuminate how complementary tectonic between structure and symbolic of an architecture surface is expressed in accordance with the biased required conditions relating with the paradigm of the era. The advancement of the new method of tectonic and the new aesthetic taste have a deep relation with the reconsidering the dichotomy classification discussing a dominant position between structure and symbol(ornament). Expression of surface representing the era comes across the combined interpretation of technology, structure, and the non-physical culture's art of the community and the era.

Curvature Estimation Based Depth Map Generation (곡률 계산에 기반한 깊이지도 생성 알고리즘)

  • Soh, Yongseok;Sim, Jae-Young;Lee, Sang-Uk
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2011.07a
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    • pp.343-344
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    • 2011
  • 최근 3 차원 디스플레이 기술의 발전에 힘입어 3 차원 컨텐츠에 대한 수요도 늘고 있다. 스테레오스코픽(Stereoscopic) 렌즈를 이용하여 3 차원 컨텐츠를 만들거나 여러 장의 2 차원 영상을 이용한 3 차원 복원 연구가 활발히 진행되는 가운데 본 논문에서는 단일 2 차원 영상을 이용해서 깊이 지도를 획득하는 알고리즘을 제안한다. 단일 영상을 보고 3 차원 구조를 파악하는 인간의 시각 체계의 능력에 착안하여 본 논문에서는 단일 영상을 이용하여 깊이 정보를 추출하는 알고리즘을 제안한다. 깊이 단서들 중, 가림 단서를 소개하고 추가로 인간의 시각 체계에서 사용하는 깊이 단서들을 결합하여 기계 학습 알고리즘에 접목시킨다. 실험을 통해 우리는 제안 알고리즘이 물체의 외곽정보를 이용하여 양질의 깊이 지도를 준다는 것을 확인할 수 있다.

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Learning Similarity between Hand-posture and Structure for View-invariant Hand-posture Recognition (관측 시점에 강인한 손 모양 인식을 위한 손 모양과 손 구조 사이의 학습 기반 유사도 결정 방법)

  • Jang Hyo-Yeong;Jeong Jin-U;Byeon Jeung-Nam
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.05a
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    • pp.187-191
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    • 2006
  • 본 논문에서는 비전 기술에 기반을 둔 손 모양 인식 시스템의 성능 향상을 위해 학습을 통해 손 모양과 손 구조 간 유사도를 결정하는 방법을 제안한다. 비전 센서에 기반을 둔 손 모양 인식은 손의 높은 자유도로 인한 자체 가림 현상과 관찰 방향 변화에 따른 입력 영상의 다양함으로 인해 인식에 어려움이 따른다. 따라서 비전 기반 손 모양 인식의 경우, 카메라와 손 간의 상대적인 각도에 제한을 두거나 여러 대의 카메라를 배치하는 것이 일반적이다. 그러나 카메라와 손 간의 상대적 각도에 제한을 두는 경우에는 사용자의 움직임에 제약이 따르게 되며, 여러 대의 카메라를 사용할 경우에는 각 입력된 영상에 대한 인식 결과를 최종 인식 결과에 반영하는 방식에 대해서 추가적으로 고려해야 한다. 본 논문에서는 비전 기반 손 모양 인식의 이러한 문제점을 개선하기 위하여 인식의 과정에서 사용되는 손 모양 특징을 손 구조적인 각도 정보와 손 영상 특징으로 나누고, 학습을 통해 각 특징 간 연관성을 정의한다.

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Design of Autocoast Tracking Algorithm by the Prediction of Target Occlusion and its On-Based Implementation (표적 가림 예측에 의한 기억추적 알고리즘 개발 및 구현)

  • Kim, So-Hyun;Jang, Gwang-Il;Kwon, Kang-Hoon;Jung, Jin-Hyun
    • Journal of the Korea Institute of Military Science and Technology
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    • v.12 no.3
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    • pp.354-359
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    • 2009
  • In this paper, the Autocoast algorithm is proposed for EOTS to overcome the target occlusion status. Coast mode, one of tracking modes, is to maintain the servo slew rate with the tracking rate right before the loss of track. The Autocoast algorithm makes decision of entering coast mode by the prediction of target occlusion and tries to refind target after the coast time. This algorithm composes of 3 steps, the first step is the prediction process of the occlusion by target-like background, the second one is the check process of the occlusion happened after background intensity variation, and the last one is the process of refinding target. The result of computer simulation, test under laboratory, and real test with EOTS shows the applicability for the automatic video tracking system.

Analysis on Occlusion Problem of Landmark-based Homing Navigation Methods (랜드마크 기반 귀소 내비게이션 알고리즘의 가림 현상 분석 및 비교)

  • Yu, Seung-Eun;Kim, Dae-Eun
    • Journal of Institute of Control, Robotics and Systems
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    • v.17 no.6
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    • pp.596-601
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    • 2011
  • Autonomous navigating algorithms for mobile robots have been proved to be a difficult task. Based on the excellent homing performance shown by many insects, bio-inspired navigation algorithms for robotic experiments have been widely researched and applied to the design of navigational strategies for mobile robots. In this paper, among them, we analyze two simple landmark navigation methods their strengths and limits. We investigate the effect of the occlusion problem mainly, which is an important yet tough problem in many landmark navigation algorithms. In the point of view of the error of homing vector and the performance of the homing paths in the environment with artificial occlusions, we investigate the effect of occlusion problem in both methods in order to further study on solutions.

A Study of Image Target Detection and Tracking for Robust Tracking in an Occluded Environment (표적의 부분가림이 존재하는 환경에서 견실한 추적을 위한 영상 표적 탐지, 추적 알고리듬 연구)

  • Kim, Yong;Song, Taek-Lyul
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.10
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    • pp.982-990
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    • 2010
  • In a target tracking system using image information from a CCD (Charged Couple Device) or an IIR (Imaging Infra-red) sensor, occluded targets can result in track losses. If the target is occlued by background objects such as buildings or trees, probability of track existence will be reduced sharply and track will be terminated due to track maintenance algorithms. This paper proposes data association algorithm based on target existence for the robust tracking performance. we suggest the HPDA (Highest Probability Data Association) algorithm based on target existence and the tracking performance is compared with the established method based on target perceivability. Image tracking simulation that utilizes virtual 3D images and real IR images is employed to evaluate the robustness of the proposed tracking algorithm.

Fast Ambient Occlusion Volume Rendering using Local Statistics (지역적 통계량을 이용한 고속 환경-광 가림 볼륨 가시화)

  • Nam, Jinhyun;Kye, Heewon
    • Journal of Korea Multimedia Society
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    • v.18 no.2
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    • pp.158-167
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    • 2015
  • This study presents a new method to improve the speed of high quality volume rendering. We improve the speed of ambient occlusion which is one of the global illumination techniques used in traditional volume visualization. Calculating ambient occlusion takes much time because it determines an illumination value of a sample by integrating opacities of nearby samples. This study proposes an improved method for this by using local statistics such as averages and standard deviations. We calculate local statistics for each volume block, a set of nearby samples, in pre-processing time. In the rendering process, we efficiently determine the illumination value by assuming the density distribution as a normal distribution. As the results, we can generate high quality images that combine ambient occlusion illumination with local illumination in real time.