• Title/Summary/Keyword: image stitching

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Image Stitching for Panorama Image Using Three-Deminsional Rotation Angle (파노라마 영상을 위한 3차원 회전각 이용 영상 정합법 연구)

  • Cho, Myeongah;Jeon, Junho;Kim, Junsik;Kang, Dongjin;Kim, Kyuheon
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2017.11a
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    • pp.214-217
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    • 2017
  • 본 논문은 파노라마 영상 생성을 위한 새로운 영상 정합 방안을 제안한다. 기존의 영상 정합 알고리즘은 영상의 특징이 되는 특징점을 추출하고 영상을 변환하여 정합하는 방식을 사용하는데, 이는 긴 처리 시간을 가지는 단점이 존재한다. 이에 본 논문에서는 보다 향상된 처리 속도를 가지는 영상 정합 알고리즘을 위해, 카메라 센서를 이용한 영상 정합 방안을 제안한다. 본 논문에서는 카메라의 관성센서에서 추출되는 오일러각을 활용한 영상 정합 방안을 제안하고, 실험을 통하여 결과를 검증하며, 그 결과를 기존 영상 정합 알고리즘과 비교하였다.

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Novel Parallel Approach for SIFT Algorithm Implementation

  • Le, Tran Su;Lee, Jong-Soo
    • Journal of information and communication convergence engineering
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    • v.11 no.4
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    • pp.298-306
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    • 2013
  • The scale invariant feature transform (SIFT) is an effective algorithm used in object recognition, panorama stitching, and image matching. However, due to its complexity, real-time processing is difficult to achieve with current software approaches. The increasing availability of parallel computers makes parallelizing these tasks an attractive approach. This paper proposes a novel parallel approach for SIFT algorithm implementation using a block filtering technique in a Gaussian convolution process on the SIMD Pixel Processor. This implementation fully exposes the available parallelism of the SIFT algorithm process and exploits the processing and input/output capabilities of the processor, which results in a system that can perform real-time image and video compression. We apply this implementation to images and measure the effectiveness of such an approach. Experimental simulation results indicate that the proposed method is capable of real-time applications, and the result of our parallel approach is outstanding in terms of the processing performance.

A Fast SIFT Implementation Based on Integer Gaussian and Reconfigurable Processor

  • Su, Le Tran;Lee, Jong Soo
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.2 no.3
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    • pp.39-52
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    • 2009
  • Scale Invariant Feature Transform (SIFT) is an effective algorithm in object recognition, panorama stitching, and image matching, however, due to its complexity, real time processing is difficult to achieve with software approaches. This paper proposes using a reconfigurable hardware processor with integer half kernel. The integer half kernel Gaussian reduces the Gaussian pyramid complexity in about half [] and the reconfigurable processor carries out a parallel implementation of a full search Fast SIFT algorithm. We use a low memory, fine grain single instruction stream multiple data stream (SIMD) pixel processor that is currently being developed. This implementation fully exposes the available parallelism of the SIFT algorithm process and exploits the processing and I/O capabilities of the processor which results in a system that can perform real time image and video compression. We apply this novel implementation to images and measure the effectiveness. Experimental simulation results indicate that the proposed implementation is capable of real time applications.

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Seam Finding Algorithm using the Brightness Difference Between Pictures in 360 VR (360 VR을 구성하는 영상들 간 밝기 차이를 이용한 seam finding 알고리즘)

  • Nam, Da-yoon;Han, Jong-Ki
    • Journal of Broadcast Engineering
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    • v.23 no.6
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    • pp.896-913
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    • 2018
  • Seam finding algorithm is one of the most important techniques to construct the high quality 360 VR image. We found that some degradations, such as ghost effect, are generated when the conventional seam finding algorithms (for examples, Voronoi algorithm, Dynamic Programming algorithm, Graph Cut algorithm) are applied, because those make the inefficient masks which cross the body of main objects. In this paper, we proposed an advanced seam finding algorithm providing the efficient masks which go through background region, instead of the body of objects. Simulation results show that the proposed algorithm outperforms the conventional techniques in the viewpoint of the quality of the stitched image.

Research for Characteristics of Korean Fashion Design Showing at Paris Collection (파리컬렉션에 나타난 한국적 패션 디자인의 특성에 관한 연구)

  • 김인경
    • Journal of the Korean Society of Costume
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    • v.38
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    • pp.233-244
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    • 1998
  • This research wants to find the possibility for new paradigm of modern Korean dress by accepting and harmonizing the tradition and the modernization of Korean design when Korean designers enter into Paris collection and express identity of Korean fashion, and investigates the characteristics of Korean design with concentrating on the works of Young-hee Lee, Shin-woo Lee, Tae-ok Jin who have exhibited their works at Paris Collection. For one of the above characteristics Young-hee Lee, a designer of Korean clothes, emphasized to build up image of Korean fashion as a form of Korea without any modification, and expressed universal western-style silhouette as Korean image by using traditional technique including dyeing and silk made by herself, quil-t and decorative saddle stitching. In the as-pect that a chain of work has made not by westernization of Korean clothes but by re-creation of Korean clothes, it suggested a new way of modern Korean fashion with harmonizing tradition with modernizations as of present based on our own dress tradition and have got good reputation from the press and the field in Paris as well. Therefore the tradition and the modernization of Korean design is not confronted or compromised in form, color, material, motif and decoration but has to be harmonized and reconciled independently in order that visual characteristics of dress can be made as one of Korean image.

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Overlap Estimation for Panoramic Image Generation (중첩 영역 추정을 통한 파노라마 영상 생성)

  • Yang, Jihee;Jeon, Jihye;Park, Gooman
    • Journal of Satellite, Information and Communications
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    • v.9 no.4
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    • pp.32-37
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    • 2014
  • The panorama is a good alternative to overcome narrow FOV under study in robot vision, stereo camera and panorama image registration and modeling. The panorama can materialize view with angles wider than human view and provide realistic space which make feeling of being on the scene based on realism. If we use all correspondence, it is too difficult to find strong features and correspondences and assume accurate homography matrix in geographic changes in images as load of calculation increases. Accordingly, we used SURF algorithm to estimate overlapping areas with high similarity by comparing and analyzing the input images' histograms and to detect features. And we solved the problem of input order so we can make panorama by input images without order.

Design and Implementation of an Absolute Position Sensor Based on Laser Speckle with Reduced Database

  • Tak, Yoon-Oh;Bandoy, Joseph Vermont B.;Eom, Joo Beom;Kwon, Hyuk-Sang
    • Current Optics and Photonics
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    • v.5 no.4
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    • pp.362-369
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    • 2021
  • Absolute position sensors are widely used in machine tools and precision measuring instruments because measurement errors are not accumulated, and position measurements can be performed without initialization. The laser speckle-based absolute position sensor, in particular, has advantages in terms of simple system configuration and high measurement accuracy. Unlike traditional absolute position sensors, it does not require an expensive physical length scale; instead, it uses a laser speckle image database to measure a moving surface position. However, there is a problem that a huge database is required to store information in all positions on the surface. Conversely, reducing the size of the database also decreases the accuracy of position measurements. Therefore, in this paper, we propose a new method to measure the surface position with high precision while reducing the size of the database. We use image stitching and approximation methods to reduce database size and speed up measurements. The absolute position error of the proposed method was about 0.27 ± 0.18 ㎛, and the average measurement time was 25 ms.

Implementation of High-definition Digital Signage Reality Image Using Chroma Key Technique (크로마키 기법을 이용한 고해상도 디지털 사이니지 실감 영상 구현)

  • Moon, Dae-Hyuk
    • Journal of Industrial Convergence
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    • v.19 no.6
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    • pp.49-57
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    • 2021
  • Digital Signage and multi-view image system are used as the 4th media to deliver stories and information due to their strong immersion. A content image displayed on large Digital Signage is produced with the use of computer graphics, rather than reality image. That is because the images shot for content making have an extremely limited range of production and their limitation to high resolution, and thereby have difficulty being displayed in a large and wide Digital Signage screen. In case of Screen X and Escape that employ the left and right walls of in the center a movie theater as a screen, images are shot with three cameras for Digital Cinema, and are screened in a cinema with multi-view image system after stitching work is applied. Such realistic images help viewers experience real-life content. This research will be able to display high-resolution images on Digital Signage without quality degradation by using the multi-view image making technique of Screen X and Chroma key technique are showed the high-resolution Digital Signage content making method.

System of Agricultural Land Monitoring Using UAV (무인항공기를 이용한 농경지 모니터링 시스템)

  • Kang, Byung-Jun;Cho, Hyun-Chan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.6
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    • pp.372-378
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    • 2016
  • The purpose of this study is to develop a system configuration for gathering data and building a database for agriculture. Some foreign agriculture-related companies have already constructed such a database for scientific agriculture. The hardware of this system is composed of automatic capturing equipment based on aerial photography using a UAV. The software is composed of parts for stitching images, matching GPS data with captured images, and building a database of collected weather information, farm operation data, and aerial images. We suggest a method for building the database, which can include information about the amount of agricultural products, weather, farm operation, and agricultural land images. The images of this system are about 5 times better than satellite images. Factors such as farm working and environmental factors can be basic data for analyzing the full impact of agriculture land. This system is expected to contribute to the scientific analysis of Korea's agriculture.

A Side-and Rear-View Image Registration System for Eliminating Blind Spots (차량의 사각 지대 제거를 위한 측/후방 카메라 영상 정합 시스템)

  • Park, Min-Woo;Jang, Kyung-Ho;Jung, Soon Ki;Yoon, Pal-Joo
    • Journal of KIISE:Software and Applications
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    • v.36 no.8
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    • pp.653-663
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    • 2009
  • In this paper, we propose a blind spots elimination system using three cameras. A wide-angle camera is attached on trunk for eliminating blind spots of a rear-view mirror and two cameras are attached on each side-view mirror for eliminating blind spots of vehicle's sides. In order to eliminate blind spots efficiently, we suggest a method to build a panoramic mosaic view with two side images and one wide-angle rear image. First, we obtain an undistorted image from a wide-angle camera of rear-view and calculate the focus-of-contraction (FOC) in undistorted images of rear-view while the car is moving straight forward. Second, we compute a homography among side-view images and an undistorted image of rear-view in flat road scenes. Next, we perform an image registration process after road and background region segmentation. Finally, we generate various views such as a cylinder panorama view, a top view and an information panoramic mosaic view.