• 한국실내디자인학회논문집
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• 제24권6호
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• pp.30-37
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• 2015

This study has the purpose to investigate the landscape plans focused on the public sector housing complexes in the Seoul Metropolitan Area in the 2000s. The targeted subjects of this study are 24 districts conducted by the Corporation, and the spatial extent is limited to Seoul metropolitan area. The scope of the research is limited to the public sector, because this sector has been conducted preferentially for public needs rather than the development profit, and has positively reflected the will "pre plan - post development". In view of the study methodologies, this study examined the transition process in Korea housing complex and analyzed the design reports to extract the key planning concepts and planning methods of landscape planning. The main concepts of landscape planning analyzed in this study were urban landscape, natural landscape, streetscape, architectural landscape, axis for viewing, landmark, skyline and landscape by areas. The key planning methods of landscape planning were landmark, which is a point landscape element, axis for viewing and skyline, which are linear landscape elements, landscape by areas which is an area landscape element, and finally complex landscape, walking landscape and nightscape, which are three-dimensional landscape elements.

• 전기학회논문지
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• 제67권11호
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• pp.1486-1495
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• 2018

This paper investigates the autonomous ground vehicle (AGV) localization filter design problem under GNSS-denied environments. It is assumed that the given landmarks do not have unique features due to the lack of a prior knowledge on them. For such case, the AGV may have difficulties in distinguishing the position measurement of the detected landmark from those of other landmarks with the same feature, hence the conventional localization filters are not applicable. To resolve this technical issue, the localization filter design problem is formulated as a special form of the data association determining whether the detected feature is actually originated from which landmark. The measurement hypotheses generated by landmarks with the same feature are evaluated by the nearest neighbor data association scheme to reduce the computational burden. The position measurement corresponding to the landmark with the most probable hypothesis is used for localization filter. Through the experiments in real-driving condition, it is shown that the proposed method provides satisfactory localization performance in spite of using non-unique landmarks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권10호
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• pp.4080-4097
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• 2020

In recent years, convolutional neural network (CNN) has become the primary method for face detection. But its shortcomings are obvious, such as expensive calculation, heavy model, etc. This makes CNN difficult to use on the mobile devices which have limited computing and storage capabilities. Therefore, the design of lightweight CNN for face detection is becoming more and more important with the popularity of smartphones and mobile Internet. Based on the CPU real-time face detector FaceBoxes, we propose a multi-task lightweight face detector, which has low computing cost and higher detection precision. First, to improve the detection capability, the squeeze and excitation modules are used to extract attention between channels. Then, the textual and semantic information are extracted by shallow networks and deep networks respectively to get rich features. Finally, the landmark detection module is used to improve the detection performance for small faces and provide landmark data for face alignment. Experiments on AFW, FDDB, PASCAL, and WIDER FACE datasets show that our algorithm has achieved significant improvement in the mean average precision. Especially, on the WIDER FACE hard validation set, our algorithm outperforms the mean average precision of FaceBoxes by 7.2%. For VGA-resolution images, the running speed of our algorithm can reach 23FPS on a CPU device.

• 산업경영시스템학회지
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• 제35권4호
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• pp.24-32
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• 2012

Of many approaches to reduce motion analysis errors, the compensation method of anatomical landmarks estimates the position of anatomical landmarks during motion. The method models the position of anatomical landmarks with joint angle or skin marker displacement using the data of the so-called dynamic calibration in which anatomical landmark positions are calibrated in ad hoc motions. Then the anatomical landmark positions are calibrated in target motions using the model. This study applies the compensation methods with joint angle and skin marker displacement to three lower extremity motions (walking, sit-to-stand/stand-to-sit, and step up/down) in ten healthy males and compares their performance. To compare the performance of the methods, two sets of kinematic variables were calculated using different two marker clusters, and the difference was obtained. Results showed that the compensation method with skin marker displacement had less differences by 30~60% compared to without compensation. And, it had significantly less difference in some kinematic variables (7 of 18) by 25~40% compared to the compensation method with joint angle. This study supports that compensation with skin marker displacement reduced the motion analysis STA errors more reliably than with joint angle in lower extremity motion analysis.

• 한국환경과학회지
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• 제11권4호
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• pp.271-279
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• 2002

The purpose of this study is to focus on the townscape of Daegu based on the urban characteristics of the landscape cognition and images captured by citizens. The analysis was performed by the data obtained from questionnaires and interviews. This study methods were deals the cognition characteristics, landmark landscape, visual preference landscape, image and satisfaction. The results are summarized as follows: 1. The orders of cognition landscapes were estimated Apple＞ Weather＞ Texture＞ Mt.Palgong＞ Daegu Tower＞ Pretty Girl＞ Mt. Apsan＞ Dalsung Park＞ Conservative＞ Dongsung Road, etc. That is constructed Nonphysical elements(62.0%) and Physical elements(38.0%) 2. The orders of representative landscape(Landmark) in city were estimated Mt.Palgong＞ Daegu Tower＞ Gat Rock＞ Mt.Apsan＞ Dalsung Park, etc. As a whole middle and old people(over 30gen) preferenced as a history landscape or natural landscape, but youth people(10-20gen) preferenced as visible and interesting artifical places. 3. While the positive attitudes for the image of city were traditional(3.30), intimacy(3.58), and rest(2.90), the negative attitudes were unnewly(2.34), closing(2.37) and narrow(2.40). Also total satisfaction for that was estimated 5.51. 4. Psychological factors, related to the satisfaction of the image of city were composed of four factors, individuality character, pleasure character, amenity character, formation character. And the presumption formula of satisfaction was: Satisfaction = 5.477 ＋ 0.752(Individuality) ＋ 0.470(Pleasure) ＋ 0.413(Amenity) ＋ 0.241(Formation).

• 한국지능시스템학회논문지
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• 제21권3호
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• pp.296-301
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• 2011

본 논문에서는 군집 로봇의 동시적 위치 추정 및 지도 작성 시스템을 제안하였다. 로봇은 실험환경에서 주변 환경을 인식하기 위해 초음파센서와 비젼 센서를 이용하였다. 실험환경을 3개의 영역으로 분할하였고, 로봇은 각 영역에서 초음파 센서로 주변 환경에 대한 거리 정보를 측정하였고, SURF 알고리즘을 이용하여 비젼 센서로부터 입력받은 영상과 landmark의 특징점을 정합하여 랜드마크를 인식하였다. 제안된 방법은 센서값들에 대한 오차에 민감하지 않고 실험환경에 비교적 정확한 지도를 작성함으로써 응용 가능성을 증명하였다.

• 융합정보논문지
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• 제11권7호
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• pp.1-6
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• 2021

본 연구의 목적은 이미지 랜드마크 선정 기법을 기반으로, 인공신경망 안면 영상분석 시스템의 성능을 향상하기 위한 내용이다. 랜드마크 선정을 위하여 안면 이미지 연령을 분류를 위한 CNN 기반의 다층 ResNet 모델의 구성이 필요하며, ResNet 모델에서 입력 노드의 변화에 따른 출력 노드의 변화를 감지하는 히트 맵을 추출한다. 추출된 다수의 히트 맵을 결합하여 연령 구분 예측과 관계된 안면 랜드마크를 구성한다. 이를 통하여, 안면 랜드마크를 통하여 픽셀의 위치별 중요도를 분석할 수 있으며, 가중치가 낮은 픽셀의 제거함으로서 상당량의 입력 데이터 감소가 가능해졌다. 이러한 기법은 인공신경망 시스템의 연산 성능 향상에 기여하게 된다.

• 한국의류학회지
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• 제47권1호
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• pp.171-190
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• 2023

This study aims to develop algorithms for automatic extraction landmarks from the lower body of women aged 20-54 using the Grasshopper programming language, based on 3D scan data in the 8th SizeKorea dataset. First, 11 landmarks were defined using the morphological features of 3D body surfaces and clothing applications, from which automatic landmark extraction algorithms were developed. To verify the accuracy of the algorithm, this study developed an additional algorithm that could automatically measure 16 items, and algorithm-derived measurements and SizeKorea measurements were compared using paired t-test analysis. The statistical differences between the scan-derived measurements and the SizeKorea measurements were compared, with an allowable tolerance of ISO 20685-1:2018. This study found that the algorithm successfully identified most items except for the crotch point and gluteal fold point. In the case of landmarks with significant differences, the algorithms were modified. This study was significant because scan editing, landmark search, and measurement extraction were successfully performed in one interface, and the developed algorithm has a high efficiency and strong adaptability.

• Imaging Science in Dentistry
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• 제45권1호
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• pp.15-22
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• 2015

Purpose: This study was performed to assess the reproducibility of identifying the sella turcica landmark in a three-dimensional (3D) model by using a new sella-specific landmark reference system. Materials and Methods: Thirty-two cone-beam computed tomographic scans (3D Accuitomo$^{(R)}$ 170, J. Morita, Kyoto, Japan) were retrospectively collected. The 3D data were exported into the Digital Imaging and Communications in Medicine standard and then imported into the Maxilim$^{(R)}$ software (Medicim NV, Sint-Niklaas, Belgium) to create 3D surface models. Five observers identified four osseous landmarks in order to create the reference frame and then identified two sella landmarks. The x, y, and z coordinates of each landmark were exported. The observations were repeated after four weeks. Statistical analysis was performed using the multiple paired t-test with Bonferroni correction (intraobserver precision: p<0.005, interobserver precision: p<0.0011). Results: The intraobserver mean precision of all landmarks was <1 mm. Significant differences were found when comparing the intraobserver precision of each observer (p<0.005). For the sella landmarks, the intraobserver mean precision ranged from $0.43{\pm}0.34mm$ to $0.51{\pm}0.46mm$. The intraobserver reproducibility was generally good. The overall interobserver mean precision was <1 mm. Significant differences between each pair of observers for all anatomical landmarks were found (p<0.0011). The interobserver reproducibility of sella landmarks was good, with >50% precision in locating the landmark within 1 mm. Conclusion: A newly developed reference system offers high precision and reproducibility for sella turcica identification in a 3D model without being based on two-dimensional images derived from 3D data.

• 한국콘텐츠학회논문지
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• 제13권7호
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• pp.417-431
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• 2013

대규모 개발사업은 도시계획 Master Plan 위에 개별 건축물을 설계, 시공하는 과정을 거친다. 이 때 사업을 바라보는 도시계획가와 건축가의 시각은 그들이 다루는 계획의 범위만큼이나 큰 차이를 보인다. 본 연구의 목적은 용산국제업무지구 국제설계경기에 지명응모한 회사(SOM, Jerde Partnership, Studio Daniel Libeskind, Foster+Partners and Asymptote Architecture)의 작품에 대한 건축가와 도시계획가의 관점 차이를 분석하는데 있다. 평가방법은 계층분석법을 사용하였으며, 평가기준은 마스터플랜과 랜드마크타워 부문으로 설정되었다. 마스터플랜의 계획요소는 개념, 토지이용, 교통, 사업성이며, 랜드마크타워는 개념, 입지, 기능효율성, 조형미이다. 두 그룹별로 각각의 요소에 대한 중요도를 도출함으로써 각각의 그룹이 가지는 시각 차이를 정량화하고자 하였다. 분석결과 대규모 개발사업에 대한 건축가와 도시계획가의 시작차이는 분명한 것으로 나타났다. 건축가는 랜드마크타워(0.505)에 중점을 두었지만, 도시계획가는 마스터 플랜(0.642)에 중점을 두는 것으로 분석되었다. 또한, 마스터플랜 계획요소는 토지이용, 사업성, 교통 등이 높게 평가되었고, 랜드마크타워 계획요소로서는 입지, 기능효율성 등이 높게 평가되었다.