• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.163-167
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• 2009

3D human body scan technique is known to be practically useful in industrial field as the technique becomes more precise and cheaper. Landmark extraction is essential for full utilization of the scan data. In this paper, we suggest an algorithm for automatic landmark extraction. For this purpose, we perform markerless matching to the target data using PCA analysis and quasi-Newton optimization. Landmarks are extracted from the topology of resulting body.

• Proceedings of the KIEE Conference
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• 2006.10c
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• pp.545-547
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• 2006

This paper propose a localization method using color landmark that is applicable to mobile intelligent robot. The color landmarks are attached in the indoor ceiling. The world coordinate of robot is estimated by color patterns and the coordinates of landmarks. A landmark is composed of 4color and these 4 colors are sorted in a line. All of landmarks have a main color which indicates direction of robot. Other 3 colors are the combination of 5 kind of colors. The CCD camera is installed on the top of robot to observe the landmarks in the ceiling.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10b
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• pp.306-309
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• 1996

This paper presents a method of landmark recognition in indoor environments using a neural-network for an autonomous mobile robot. In order to adapt to image deformation of a landmark resulted from variations of view-points and distances, a multi-labeled template matching(MLTM) method and a dynamic area search method(DASM) are proposed. The MLTM is. used for matching an image template with deformed real images and the DASM is proposed to detect correct feature points among incorrect feature points. Finally a feed-forward neural-network using back-propagation algorithm is adopted for recognizing the landmark.

• 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.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.9
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• pp.3685-3700
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• 2015

To avoid influences caused by pose, illumination and facial expression variations, we propose a robust three-step algorithm based on ASM and POEM for facial landmark localization. Firstly, Model Selection Factor is utilized to achieve a pose-free initialized shape. Then, we use the global shape model of ASM to describe the whole face and the texture model POEM to adjust the position of each landmark. Thirdly, a second localization is presented to discriminatively refine the subtle shape variation for some organs and contours. Experiments are conducted in four main face datasets, and the results demonstrate that the proposed method accurately localizes facial landmarks and outperforms other state-of-the-art methods.

• The Journal of Korea Robotics Society
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• v.3 no.2
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• pp.99-105
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• 2008

To achieve autonomous mobile robot navigation, accurate localization technique is the fundamental issue that should be addressed. In augmented reality, the position of a user is required for location-based services. This paper presents indoor localization using infrared reflective artificial landmarks. In order to minimize the disturbance to the user and to provide the ease of installation, the passive landmarks are used. The landmarks are made of coated film which reflects the infrared light efficiently. Infrared light is not visible, but the camera can capture the reflected infrared light. Once the artificial landmark is identified, the camera's relative position/orientation is estimated with respect to the landmark. In order to reduce the number of the required artificial landmarks for a given environment, the pan/tilt mechanism is developed together with the distortion correction algorithm.

• International Journal of Contents
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• v.2 no.3
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• pp.27-32
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• 2006

We present an effective algorithm for automatic tracing of retinal vessel structure and vascular landmark extraction of bifurcations and ending points. In this paper we deal with vascular patterns from RGB images for personal identification. Vessel tracing algorithms are of interest in a variety of biometric and medical application such as personal identification, biometrics, and ophthalmic disorders like vessel change detection. However eye surface vasculature tracing in RGB images has many problems which are subject to improper illumination, glare, fade-out, shadow and artifacts arising from reflection, refraction, and dispersion. The proposed algorithm on vascular tracing employs multi-stage processing of ten-layers as followings: Image Acquisition, Image Enhancement by gray scale retinal image enhancement, reducing background artifact and illuminations and removing interlacing minute characteristics of vessels, Vascular Structure Extraction by connecting broken vessels, extracting vascular structure using eight directional information, and extracting retinal vascular structure, and Vascular Landmark Extraction by extracting bifurcations and ending points. The results of automatic retinal vessel extraction using jive different thresholds applied 34 eye images are presented. The results of vasculature tracing algorithm shows that the suggested algorithm can obtain not only robust and accurate vessel tracing but also vascular landmarks according to thresholds.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1183-1185
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• 2012

본 논문은 최근 항만 터미널 장치장 내 무인 자동화가 빠르게 연구 진행되고 있는 가운데 다양한 자동화 기술들이 제공되고 있다. 우리는 장치장 내 효과적인 작업 효율을 위하여 RFID(Radio Frequency Identification)를 이용한 무인이송장비(YT:Yard Tractor)의 정지위치 인식 시스템을 제안한다. 제안된 시스템은 장치장내에서 YT의 정지하고자 하는 장소에서 RFID의 신호와 LANDMARK를 이용하여 정지한다. 정지 위치 장소에 두 개의 RFID태그를 설치하여 작업영역 및 정지위치를 각각의 태그 정보에 포함시킨다. YT는 정지장소에 도달하면 지정된 작업 영역인지 태그 정보를 통해 확인하고, 확인 후 정지위치정보를 포함하는 태그와 LANDMARK를 통해 정확한 위치에 정지한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.177-180
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• 2011

In practice, it is well known that geographical and/or location based routing is highly effective for wireless sensor network. Here, electing some landmarks on the network and forwarding data based on the landmark is one of the good approaches for a vast sensing field with holes. In the most previous works, landmarks are elected without considering the residual energy on each sensor. In this paper, we propose an Energy aware Landmark Election and Routing (ELER) protocol to establish a stable routing paths and reduce the total power consumption. The proposed protocol makes use of each sensor's energy level on electing the landmarks, which would be utilized to route a packet towards the target region using greedy forwarding method. Our simulation results illustrate that the proposed scheme can significantly reduce the power dissipation and effectively lengthen the lifetime of the network.

• Journal of Korean Society of Forest Science
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• v.88 no.2
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• pp.185-194
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• 1999

The purpose of the study is to examine the relation between 'Miruk-ri Bongsan Stone Landmark' found in 1997 and 'Moonkyung County Bonsan' and Choryung Bongsan. Relevant literature was analyzed and the spots were investigated as well. Data used are geography book, maps, town chronicles and the Annals of the Chosun Dynasty in the late period of the Chosun Dynasty. The major findings are as follows ; (1)'Miruk-ri Bongsan Stone Landmark' is inferred as Stone Landmark of Choryung Bongsan. (2)Choryung Bongsan was designated to protect a strategic forest lands established around the Choryung Pass for the defence of Chungju which is the door of Capital city, Hanyang, and connected to South Han River. (3)'Miruk-ri Bongsan Stone Landmark' seems to be erected at Miruk-ri because it was a spot of traffic importance, which connects among Choryung, Moonkyung County and Chungju County in notifying the importance of Bongsan to travelers.