• Title/Summary/Keyword: Depth Extraction

Search Result 394, Processing Time 0.024 seconds

An Extraction and Analysis of the Candidated Promising Sports Industries for National Sports Technology Policy (스포츠 기술정책을 위한 유망 스포츠산업 후보군의 도출 및 분석)

  • Rim, Myung Hwan
    • Korean Management Science Review
    • /
    • v.31 no.4
    • /
    • pp.151-163
    • /
    • 2014
  • The sports industry is expected to develop into a huge business through convergence with existing industries such as the broadcasting/information communications, health/medicine, and entertainment/leisure. This paper aims to extract and analyse the candidated promising sports industries at the national level in order to promote them in the long term, and adopts a policy-based approach to such efforts. To extract promising sports industries at the national level, a methodology that considers economic effects such as global competitiveness, technological characteristics, and the creation of jobs, as well as technical development projects, should be adopted. In this study, It was extracted 59 candidated promising sports industries using literature review and expert opinions. As a result of in-depth survey, we found some critical implications each area as follows; health club operation in the lifetime and participation sports area, female sports dance in the welfare sports area, new material sports shoes in the lifetime and welfare sports area, and dynamic training system in the professional sports area.

SYSTEM ANALYSIS OF PIPELINE SOFTWARE - A CASE STUDY OF THE IMAGING SURVEY AT ESO

  • Kim, Young-Soo
    • Journal of Astronomy and Space Sciences
    • /
    • v.20 no.4
    • /
    • pp.403-416
    • /
    • 2003
  • There are common features, in both imaging surveys and image processing, between astronomical observations and remote sensing. Handling large amounts of data, in an easy and fast way, has become a common issue. Implementing pipeline software can be a solution to the problem, one which allows the processing of various kinds of data automatically. As a case study, the development of pipeline software for the EIS (European Southern Observatory Imaging Survey) is introduced. The EIS team has been conducting a sky survey to provide candidate targets to the 250 VLTs (Very Large Telescopes) observations. The survey data have been processed in a sequence of five major data corrections and reductions, i.e. preprocessing, flat fielding, photometric and astrometric corrections, source extraction, and coaddition. The processed data are eventually distributed to the users. In order to provide automatic processing of the vast volume of observed data, pipeline software has been developed. Because of the complexity of objects and different characteristic of each process, it was necessary to analyze the whole works of the EIS survey program. The overall tasks of the EIS are identified, and the scheme of the EIS pipeline software is defined. The system structure and the processes are presented, and in-depth flow charts are analyzed. During the analyses, it was revealed that handling the data flow and managing the database are important for the data processing. These analyses may also be applied to many other fields which require image processing.

A Study of Normal Map Extraction and Lighting Technology for Real-time Image Based Lighting (실시간 영상기반 라이팅을 위한 고속 노말맵 추출방법 및 라이팅 기술 연구)

  • Yu, Se-Un;Bang, Chan-Yeong;Lee, Sang-Hwa;Lee, Sang-Yeop;An, Sang-Cheol;Park, Jong-Il
    • 한국HCI학회:학술대회논문집
    • /
    • 2007.02a
    • /
    • pp.1031-1036
    • /
    • 2007
  • 최근 가상현실 기술의 주요 연구 동향으로 몰입감을 증가시키는 실감공간 구현구술이 주목 받고 있다. 실감공간 기술이란 서로 다른 공간에 떨어져 있는 사용자가 같은 공간에 있는 효과를 구현하는 기술이다. 본 논문에서는 특히 상호간의 주변 환경을 일치시키는 기술에 중점을 두고, 실시간으로 두 공간의 조명정보를 일치시키는 기술로서 2가지 핵심 내용을 소개한다. 첫째는 비주얼 헐 데이터를 기반으로 고속으로 노말벡터를 추출하는 방법이고, 둘째는 사용자 주변 조명 환경 정보를 반영하는 라이팅 방법이다. 본 논문에서 수행한 첫번째 방법은 비주얼 헐 데이터의 depth존재영역에서 노말맵을 계산하도록 하고, 노말맵을 계산할 때 주변 폴리곤들 기하학적 변화가 심할수록 노말맵 계산에 사용하는 주변 벡터의 선태을 늘리거나 줄이는 방식으로, 불필요한 계산량을 감소시켰다. 본 논문에서 수행한 두번째 방법에서는 주변 조명 정보에서 빛의 세기와 라이팅을 반영할 객체의 반사율의 특성을 고려하여 라이팅에 사용할 광원을 선택적으로 반영하여 불필요한 연산량을 감소시켰다. 종래의 영상기반 라이팅 기술이 사전에 촬영된 영상을 사용하거나 정지영상에 적용되는 연구를 한 반면에 본 논문은 실시간에서 라이팅을 구현하기 위한 시도로서 고속 라이팅 연산 기법을 제시하고 있다. 본 연구의 결과를 이용하면 영상기반 라이팅 연구의 실제적이고도 폭넓은 적용이 가능할 것으로 사료되며 고화질의 콘텐츠 양산에도 기여할 것으로 사료된다.

  • PDF

Experimental Study on Compaction Effect of Hydraulic Fill Soils (실내실험을 통한 수중 매립토의 다짐효과 분석)

  • Lee, Haeng-Woo;Chang, Pyoung-Wuck;Chang, Woong-Hee;Bong, Tae-Ho
    • Proceedings of the Korean Geotechical Society Conference
    • /
    • 2006.03a
    • /
    • pp.301-310
    • /
    • 2006
  • A series of laboratory tests was carried out for analyzing compaction characteristics of hydraulic fill soils(or hydraulically filled soils). Hydraulic fill soils were settled down by the weight of soil particle itself in water and consolidated by the extraction of water from the soil structures. Water content and dry unit weight were observed as the depth of sedimentation and consolidation soil. It was found from the result that the optimum water content $(W_{cpt})$ of the maximum unit weight$(\gamma_{dmax})$ is higher than that of laboratory compaction test(KS F 2312 A method). It was due to difference in compaction energy and compaction effect between two methods. And the maximum dry unit of hydraulic fill soil is smaller than that of laboratory compaction test. Especially in terms of compaction effect, the maximum relative compaction degrees$(R_{cmax})$ of Seamangum dredged sand, river sand and mixed sand, half and half of dredged and river sands, were 85%, 91% and 86%, respectively. It means that the compaction effect can be $85\sim91%$ of the maximum unit weight in laboratory compaction test.

  • PDF

Robust Elevator Door Recognition using LRF and Camera (LRF와 카메라를 이용한 강인한 엘리베이터 문 인식)

  • Ma, Seung-Wan;Cui, Xuenan;Lee, Hyung-Ho;Kim, Hyung-Rae;Lee, Jae-Hong;Kim, Hak-Il
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.18 no.6
    • /
    • pp.601-607
    • /
    • 2012
  • The recognition of elevator door is needed for mobile service robots to moving between floors in the building. This paper proposed the sensor fusion approach using LRF (Laser Range Finder) and camera to solve the problem. Using the laser scans by the LRF, we extract line segments and detect candidates as the elevator door. Using the image by the camera, the door candidates are verified and selected as real door of the elevator. The outliers are filtered through the verification process. Then, the door state detection is performed by depth analysis within the door. The proposed method uses extrinsic calibration to fuse the LRF and the camera. It gives better results of elevator door recognition compared to the method using LRF only.

Depth Extraction of Convergent-Looking Stereo Images Based on the Human Visual System (인간시각체계에 기초한 교차시각 스테레오 영상의 깊이 추출)

  • 이적식
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.27 no.4A
    • /
    • pp.371-382
    • /
    • 2002
  • A camera model with optical axes parallel has been widely used for stereo vision applications. A pair of input ages are obtained from a convergent-looking stereo camera model based on the human visual system in this per, and each image is divided into quadrant regions with respect to the fixation point. The reasoning of quadrant partitions is based on the human visual system and is proven by a geometrical method. Image patches : constructed from the right and left stereo images. A modified cepstrum filter is applied to the patches and disparity vectors are determined by peak detection algorithm. The three-dimensional information for synthetic ages is obtained from the measured disparity and the convergent stereo camera model. It is shown that the experimental results of the proposed method for various stereo images are accurate around the fixation point like the human visual system.

Three-dimensional Distortion-tolerant Object Recognition using Computational Integral Imaging and Statistical Pattern Analysis (집적 영상의 복원과 통계적 패턴분석을 이용한 왜곡에 강인한 3차원 물체 인식)

  • Yeom, Seok-Won;Lee, Dong-Su;Son, Jung-Young;Kim, Shin-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.34 no.10B
    • /
    • pp.1111-1116
    • /
    • 2009
  • In this paper, we discuss distortion-tolerant pattern recognition using computational integral imaging reconstruction. Three-dimensional object information is captured by the integral imaging pick-up process. The captured information is numerically reconstructed at arbitrary depth-levels by averaging the corresponding pixels. We apply Fisher linear discriminant analysis combined with principal component analysis to computationally reconstructed images for the distortion-tolerant recognition. Fisher linear discriminant analysis maximizes the discrimination capability between classes and principal component analysis reduces the dimensionality with the minimum mean squared errors between the original and the restored images. The presented methods provide the promising results for the classification of out-of-plane rotated objects.

Crack identification in post-buckled beam-type structures

  • Moradi, Shapour;Moghadam, Peyman Jamshidi
    • Smart Structures and Systems
    • /
    • v.15 no.5
    • /
    • pp.1233-1252
    • /
    • 2015
  • This study investigates the problem of crack detection in post-buckled beam-type structures. The beam under the axial compressive force has a crack, assumed to be open and through the width. The crack, which is modeled by a massless rotational spring, divides the beam into two segments. The crack detection is considered as an optimization problem, and the weighted sum of the squared errors between the measured and computed natural frequencies is minimized by the bees algorithm. To find the natural frequencies, the governing nonlinear equations of motion for the post-buckled state are first derived. The solution of the nonlinear differential equations of the two segments consists of static and dynamic parts. The differential quadrature method along with an arc length strategy is used to solve the static part, while the same method is utilized for the solution of the linearized dynamic part and the extraction of the natural frequencies of the cracked beam. The investigation includes several numerical as well as experimental case studies on the post-buckled simply supported and clamped-clamped beams having open cracks. The results show that several parameters such as the amount of applied compressive force and boundary conditions influences the outcome of the crack detection scheme. The identification results also show that the crack position and depth can be predicted well by the presented method.

Spud-can penetration depending on soil properties: Comparison between numerical simulation and physical model test

  • Han, Dong-Seop;Kim, Moo-Hyun
    • Ocean Systems Engineering
    • /
    • v.7 no.2
    • /
    • pp.107-120
    • /
    • 2017
  • Spud-can is used for fixing jack-up rig on seabed. It needs to be inserted up to the required depth during the installation process to secure enough soil reaction and prevent overturning accidents. On the other hand, it should be extracted from seabed soils as fast as possible during the extraction process to minimize the corresponding operational cost. To achieve such goals, spud-can may be equipped with water-jetting system including monitoring and control. To develop such a smart spud-can, a reliable numerical simulation tool is essential and it has also to be validated against physical model tests. In this regard, authors developed a numerical simulation tool by using a commercial program ANSYS with extended Drucker-Prager (EDP) formula. Authors also conducted small-scale (1/100) physical model tests for verification and calibration purpose. By using the numerical model, a systematic parametric study is conducted both for sand and K(kaolin)-clay with varying important soil parameters and the best estimated soil properties of the physical test are deduced. Then, by using the selected soil properties, the numerical and experimental results for a sand/K-clay multi-layer case are cross-checked to show reasonably good agreement. The validated numerical model will be useful in the next-stage study which includes controllable water-jetting.

An Improved Recommendation Algorithm Based on Two-layer Attention Mechanism

  • Kim, Hye-jin
    • Journal of the Korea Society of Computer and Information
    • /
    • v.26 no.10
    • /
    • pp.185-198
    • /
    • 2021
  • With the development of Internet technology, because traditional recommendation algorithms cannot learn the in-depth characteristics of users or items, this paper proposed a recommendation algorithm based on the AMITI(attention mechanism and improved TF-IDF) to solve this problem. By introducing the two-layer attention mechanism into the CNN, the feature extraction ability of the CNN is improved, and different preference weights are assigned to item features, recommendations that are more in line with user preferences are achieved. When recommending items to target users, the scoring data and item type data are combined with TF-IDF to complete the grouping of the recommendation results. In this paper, the experimental results on the MovieLens-1M data set show that the AMITI algorithm improves the accuracy of recommendation to a certain extent and enhances the orderliness and selectivity of presentation methods.