• Journal of the Korean Society of Radiology
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• v.8 no.6
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• pp.357-364
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• 2014

The filtered back projection in the image reconstruction algorithms for the clinic computed tomography system has been widely used. Noise of the reconstructed image was examined under the input noise for parallel and fan beam geometries. The reconstruction images of $512{\times}512$ size were carried out under 360 and 720 projection by the Visual C++ for parallel beam and fan beam, respectively, and those agreed with the original Shepp-Logan head phantom very much. Noise was generated because of intrinsic restriction (finite number of projections) for the image reconstruction algorithm, filtered back projection, when no input noise was applied. Because the result noise was rapidly increased under 0.5% input noise ratio, technologies for reducing noise in CT system and image processing is important.

• Journal of Institute of Control, Robotics and Systems
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• v.20 no.9
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• pp.950-956
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• 2014

In this paper, the real-time detection method of a DDP (Driving Direction Point) is proposed for an unmanned vehicle to safely follow the center of the road. Since the DDP is defined as a center point between two lanes, the lane is first detected using a web camera. For robust detection of the lane, the binary thresholding and the labeling methods are applied to the color camera image as image preprocessing. From the preprocessed image, the lane is detected, taking the intrinsic characteristics of the lane such as width into consideration. If both lanes are detected, the DDP can be directly obtained from the preprocessed image. However, if one lane is detected, the DDP is obtained from the inverse perspective image to guarantee reliability. To verify the proposed method, several experiments to detect the DDPs are carried out using a 4 wheeled vehicle ERP-42 with a web camera.

• Journal of architectural history
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• v.1 no.1 s.1
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• pp.267-281
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• 1992

This study maintains that settlement and dwelling system reflects socio-cultural value of the people to express their image of ideal-life and intrinsic way of life. To demonstrate it, the study is conducted on a cross-cultural perspective. Through the study, it is shown that the character and content of the settlement and dwelling system is largely generated by the result of a choice among possible alternatives, which provides the theoretical base of the settlement and dwelling system.

• Journal of the Korean Home Economics Association
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• v.44 no.9
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• pp.41-50
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• 2006

This study examines the characteristics of the military look in modern fashion. The materials for the study are mainly precedent studies and related literature, although fashion portfolios and magazines, domestic and international, are used for the exploratory study. The results of the study are as follows. First, the military look for women dismantles the sexual symbolism endowed with the clothes by expressing a neutral charm out of dichotomy image between genders. The neutral expression of the military look, different from the military look of the 20th century, provides a chance to feature a new image by pursuing more individual freedom than human itself. Second, the military-look emphasizes feminine sensual charm through exposing, concealing, or decorating with ornaments which are transformed from the elements of the military clothes, This is different from the past military look that expressed masculine rigidity through simplifying the details and emphasizing the male body silhouette. Third, the military look produces a deconstruction image instead of just showing its intrinsic thoughts or symbolic message through combining design elements or symbolic details of the military look with other images, transforming and exaggerating the shapes, or mixing the time point of views reinterpreting the present or the future image.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.939-945
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• 2020

This study aims to develop propositions about the factors that influence the purchase intention of private label products. These factors are: in-store promotion, visual merchandising, store image, and customer value. This study elaborates on some of the results of previous studies that have examined the factors that influence purchase intention of private label products that have been published on Google Scholar and indexed by Scopus between 1991- 2020, to develop a proposition. This paper fills a lack of Studies which discuss purchase intention from a consumer behavior perspective. From the perspective of consumer behavior, purchase intention is influenced by three factors, namely: intrinsic factors including: consumer value, extrinsic factors including: in-store promotions, visual merchandising and store image, and consumer factors. This paper defines purchase intention as the effort and strong urge to buy a particular product in the future, the possibility of considering buying the product, the decision to rebuy the product and the desire to recommend the product. The main findings of this research are several propositions, namely: in-store promotion, visual merchandising and store image directly affect customer value and purchase intention. The following propositions are: In-store promotion, visual merchandising and store image influence purchase intention mediated by customer value.

• Journal of Institute of Control, Robotics and Systems
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• v.10 no.5
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• pp.415-420
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• 2004

We present a new algorithm for the calibration of a camera and the recovery of 3D scene structure up to a scale from image sequences using known angles between lines in the scene. Traditional method for calibration using scene constraints requires various scene constraints due to the stratified approach. Proposed method requires only one type of scene constraint of known angle and also it directly recovers metric structure up to an unknown scale from projective structure. Specifically, we recover the matrix that is the homography between the projective structure and the Euclidean structure using angles. Since this matrix is a unique one in the given set of image sequences, we can easily deal with the problem of varying intrinsic parameters of the camera. Experimental results on the synthetic and real images demonstrate the feasibility of the proposed algorithm.

• Computers and Concrete
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• v.3 no.6
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• pp.423-437
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• 2006

Stress wave propagation through concrete is simulated by finite element analysis. The concrete medium is modeled as a homogeneous material with smeared properties to investigate and establish the suitable finite element analysis method (explicit versus implicit) and analysis parameters (element size, and solution time increment) also suitable for rigorous investigation. In the next step, finite element analysis model of the medium is developed using a digital image processing technique, which distinguishes the mortar and aggregate phases of concrete. The mortar and aggregate phase topologies are, then, directly mapped to the finite element mesh to form a heterogeneous concrete model. The heterogeneous concrete model is then used to simulate wave propagation. The veracity of the model is demonstrated by evaluating the intrinsic parameters of nondestructive ultrasonic pulse velocity testing of concrete. Quantitative relationships between aggregate size and testing frequency for nondestructive testing are presented.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.8
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• pp.84-91
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• 1997

The range image is divided into surface regions which are homogeneous in their intrinsic properties. In this paper, we use cooperative relaxational algorithm between curvatures to escape local minima and choose optimal possibility to reserve edge. Cooperative relaxational algorithm between curvatures is relaxation process in which weights of center pixel;s and neighbor pixel's possiblility are determined adaptively by using deviation of curvatures. Experimental resutls show that the proposed method segments and classifies the range images more accurately compared to the other relational algorithms.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.8
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• pp.3011-3024
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• 2021

Pose estimation of the sensor is important issue in many applications such as robotics, navigation, tracking, and Augmented Reality. This paper proposes visual-inertial integration system appropriate for dynamically moving condition of the sensor. The orientation estimated from Inertial Measurement Unit (IMU) sensor is used to calculate the essential matrix based on the intrinsic parameters of the camera. Using the epipolar geometry, the outliers of the feature point matching are eliminated in the image sequences. The pose of the sensor can be obtained from the feature point matching. The use of IMU sensor can help initially eliminate erroneous point matches in the image of dynamic scene. After the outliers are removed from the feature points, these selected feature points matching relations are used to calculate the precise fundamental matrix. Finally, with the feature point matching relation, the pose of the sensor is estimated. The proposed procedure was implemented and tested, comparing with the existing methods. Experimental results have shown the effectiveness of the technique proposed in this paper.

• Computers and Concrete
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• v.33 no.5
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• pp.535-544
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• 2024

In the rapidly advancing landscape of computer vision (CV) technology, there is a burgeoning interest in its integration with the construction industry. Camera calibration is the process of deriving intrinsic and extrinsic parameters that affect when the coordinates of the 3D real world are projected onto the 2D plane, where the intrinsic parameters are internal factors of the camera, and extrinsic parameters are external factors such as the position and rotation of the camera. Camera pose estimation or extrinsic calibration, which estimates extrinsic parameters, is essential information for CV application at construction since it can be used for indoor navigation of construction robots and field monitoring by restoring depth information. Traditionally, camera pose estimation methods for cameras relied on target objects such as markers or patterns. However, these methods, which are marker- or pattern-based, are often time-consuming due to the requirement of installing a target object for estimation. As a solution to this challenge, this study introduces a novel framework that facilitates camera pose estimation using standardized materials found commonly in construction sites, such as concrete forms. The proposed framework obtains 3D real-world coordinates by referring to construction materials with certain specifications, extracts the 2D coordinates of the corresponding image plane through keypoint detection, and derives the camera's coordinate through the perspective-n-point (PnP) method which derives the extrinsic parameters by matching 3D and 2D coordinate pairs. This framework presents a substantial advancement as it streamlines the extrinsic calibration process, thereby potentially enhancing the efficiency of CV technology application and data collection at construction sites. This approach holds promise for expediting and optimizing various construction-related tasks by automating and simplifying the calibration procedure.