• Journal of Institute of Control, Robotics and Systems
• /
• v.10 no.9
• /
• pp.779-784
• /
• 2004

This paper describes a sonic polygonal multiple reflection range sensor (SPMRS), which uses multiple reflection properties usually ignored in ultrasonic sensors as disturbances or noises. Targets such as a plane, corner, edge, or cylinder in indoor environments can easily be detected by the multiple reflection patterns obtained with a SPMRS system. Target classification and feature data extraction, such as distance and azimuth to the target, are computed simultaneously by considering the geometrical relationships between the detected targets, and finally the environment model is generated by refining the detected targets. In addition, the narrow field of view of a sonar range sensor is increased and the scanning time is reduced by active motion of the SPMRS stepping servomechanism.

• Proceedings of the KIEE Conference
• /
• 1995.07b
• /
• pp.934-936
• /
• 1995

To get a good result of the feature-based stereo matching, contour of buildings must be extracted exactly. In this paper, an algorithm that extracts contour of flat top buildings exactly is proposed. The Algorithm is composed of three steps. One is to find corner points of 4 types in whole image and another is to extract exact lines between coners by edge following technique, the third is to extract exact contour of buildings using binding structures. We have a good result in extracting contour of buildings.

• Proceedings of the KIEE Conference
• /
• 2003.11c
• /
• pp.830-835
• /
• 2003

This paper describes a sonic polygonal multiple reflection range sensor (SPMRS), which uses multiple reflection properties usually ignored in ultrasonic sensors as disturbances or noises. Targets such as a plane, corner, edge, or cylinder in indoor environments can easily be detected by the multiple reflection patterns obtained with a SPMRS system. Target classification and feature data extraction, such as distance and azimuth to the target, are computed simultaneously by considering the geometrical relationships between the detected targets, and finally the environment model is generated by refining the detected targets. In addition, the narrow field of view of a sonar range sensor is increased and the scanning time is reduced by active motion of the SPMRS stepping servomechanism.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.8 no.2
• /
• pp.36-44
• /
• 2009

In this paper, we suggest a system of detecting a vehicle with lane violation, which can detect the vehicle with lane violation, by using the feature point tracking. The whole algorithm in the suggested system of detecting a vehicle with lane violation is composed of three stages such as feature extraction, register and tracking in feature for the tracking-targeted vehicle, and detecting a vehicle with lane violation. In the stage of feature extraction, the feature is extracted from the inputted image by sing the feature-extraction algorithm available for the real-time processing. The extracted features are again selected the racking-targeted feature. The registered feature is tracked by using NCC(normalized cross correlation). Finally, whether or not lane violation is finally detected by using information on the tracked features. As a result of experimenting the suggested system by using the acquired image in the section with a ban on intervention, the excellent performance was shown with 99.09% for positive recognition ratio and 0.9% for error ratio. The fast processing speed could be obtained in 34.48 frames per second available for real-time processing.

• The KIPS Transactions:PartB
• /
• v.17B no.5
• /
• pp.333-344
• /
• 2010

This paper addresses the way to compose paronamic images from images taken the same objects. With the spread of digital camera, the panoramic image has been studied to generate with its interest. In this paper, we propose a panoramic image generation method using scaling and rotation invariant features. First, feature points are extracted from input images and matched with a RANSAC algorithm. Then, after the perspective model is estimated, the input image is registered with this model. Since the SURF feature extraction algorithm is adapted, the proposed method is robust against geometric distortions such as scaling and rotation. Also, the improvement of computational cost is achieved. In the experiment, the SURF feature in the proposed method is compared with features from Harris corner detector or the SIFT algorithm. The proposed method is tested by generating panoramic images using $640{\times}480$ images. Results show that it takes 0.4 second in average for computation and is more efficient than other schemes.

• Korean Journal of Remote Sensing
• /
• v.39 no.6_1
• /
• pp.1309-1320
• /
• 2023

The technological development and popularization of mobile devices have developed so that users can check their location anywhere and use the Internet. However, in the case of indoors, the Internet can be used smoothly, but the global positioning system (GPS) function is difficult to use. There is an increasing need to provide real-time location information in shaded areas where GPS is not received, such as department stores, museums, conference halls, schools, and tunnels, which are indoor public places. Accordingly, research on the recent indoor positioning technology based on light detection and ranging (LiDAR) equipment is increasing to build a landmark database. Focusing on the accessibility of building a landmark database, this study attempted to develop a technique for estimating the user's location by using a single image taken of a landmark based on a mobile device and the landmark database information constructed in advance. First, a landmark database was constructed. In order to estimate the user's location only with the mobile image photographing the landmark, it is essential to detect the landmark from the mobile image, and to acquire the ground coordinates of the points with fixed characteristics from the detected landmark. In the second step, by applying the bag of words (BoW) image search technology, the landmark photographed by the mobile image among the landmark database was searched up to a similar 4th place. In the third step, one of the four candidate landmarks searched through the scale invariant feature transform (SIFT) feature point extraction technique and Homography random sample consensus(RANSAC) was selected, and at this time, filtering was performed once more based on the number of matching points through threshold setting. In the fourth step, the landmark image was projected onto the mobile image through the Homography matrix between the corresponding landmark and the mobile image to detect the area of the landmark and the corner. Finally, the user's location was estimated through the location estimation technique. As a result of analyzing the performance of the technology, the landmark search performance was measured to be about 86%. As a result of comparing the location estimation result with the user's actual ground coordinate, it was confirmed that it had a horizontal location accuracy of about 0.56 m, and it was confirmed that the user's location could be estimated with a mobile image by constructing a landmark database without separate expensive equipment.

• Journal of Dental Anesthesia and Pain Medicine
• /
• v.18 no.3
• /
• pp.161-167
• /
• 2018

Background: This study aimed to evaluate the anti-inflammatory efficacy of preemptive intravenous ibuprofen on inflammatory complications such as edema and trismus in patients undergoing impacted mandibular third molar surgery. Methods: Sixty patients were included and divided into three groups (800 mg IV ibuprofen + 50 mg dexketoprofen, 800 mg IV ibuprofen, and control). In all patients, preoperative hemodynamic values were recorded before the infusions. The operation was started at 15-min post-infusion. Evaluation of edema size on the face and mouth opening (trismus) was conducted in the preoperative period, and at postoperative 48 h and 1 week. Results: No difference was determined among the groups in trismus and edema size in postoperative measurements (P > 0.05). There was a difference between group 2 and group 3 only in measurement value of tragus-corner of the mouth on the postoperative day 2 (P < 0.05). A difference was found between the measurement values of trismus preoperatively and at preoperative day 2, and between postoperative day 2 and 1 week in group 3 based on time (P < 0.05). In group 3, edema on the face on postoperative day 2 increased significantly compared to that in the preoperative period (P < 0.001); in addition, edema increased significantly in groups 1 and 2 in the postoperative period but was less than that in group 3 (P < 0.001). Conclusions: In this study, intravenous ibuprofen was determined to be more effective alone or in combination in alleviating trismus and to better limit the postoperative edema.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.14 no.1
• /
• pp.77-85
• /
• 2018

This paper proposes a robust digital video stabilization algorithm to extract and track an object, which uses a phase correlation-based motion correction. The proposed video stabilization algorithm consists of background stabilization based on motion estimation and extraction of a moving object. The motion vectors can be estimated by calculating the phase correlation of a series of frames in the eight sub-images, which are located in the corner of the video. The global motion vector can be estimated and the image can be compensated by using the multiple local motions of sub-images. Through the calculations of the phase correlation, the motion of the background can be subtracted from the former frame and the compensated frame, which share the same background. The moving objects in the video can also be extracted. In this paper, calculating the phase correlation to track the robust motion vectors results in the compensation of vibrations, such as movement, rotation, expansion and the downsize of videos from all directions of the sub-images. Experimental results show that the proposed digital image stabilization algorithm can provide continuously stabilized videos and tracking object movements.

• Maxillofacial Plastic and Reconstructive Surgery
• /
• v.21 no.1
• /
• pp.81-88
• /
• 1999

A fibrin adhesive have been widely used in oral and maxillofacial surgery for microvascular anastomosis, autogenous chip bone grafts, many kinds of soft tissue surgery (vestibuloplasty, bleeding control after extraction, primary healing by covering of suture of a gum after the extirpation of large cysts). There are two principal components in adhesive systems biologically: lyophilized human fibrinogen and bovine thrombin. The fibrinogen component contains coagulation factor XIII and enhance the initial wound healing, which polymerizes soluble fibrin monomers into an insoluble clot. The thrombin is dissolved in a solution of calcium chloride to provide the second component. We applied fibrin adhesive, Beriplast (Behring, Behringwerke AG, D-3350, Marburg, FRD), to 4 patients for fixation of free skin grafting donors who had facial scar around eye, nose, mouth corner which received from accidents, or burn. We have experienced initial accelerated graft fixation between donor and recipient sites with no additional fixation. And It's made easy bleeding control and easy manipulation during operation. But two cases showed partial hypertrophic scar engrowth in above 3 months follow up, but no significant. Histopathological reviews in general were showed similar scar findings such as abundant collagen bundles in H&E, M/T stain, but slight positive signs in elastic and collagen antibody immunopathologic findings in hypertrophic scar cases.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.6 no.3
• /
• pp.457-463
• /
• 2011

As computer related technologies are developed, interests in augmented reality technologies are greatly increasing. Augmented reality is a technology that composes digital contents from the real input images through camera and it enables interaction with users. This study designed a directional marker using LED light that emits infrared ray, then, provided a detection algorithm and a marker information extraction method that can realize various virtual objects as augmented reality from one marker. The newly designed method provides a solution to settle the problems in existing marker technologies such as decrease of immersiveness and read rate and single information expression, and at the same time it can minimize the cost or time consumption in marker information storage.