• Title/Summary/Keyword: stitching

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A proposed image stitching method for web-based panoramic virtual reality for Hoseo Cyber Museum (호서 사이버 박물관: 웹기반의 파노라마 비디오 가상현실에 대한 효율적인 이미지 스티칭 알고리즘)

  • Khan, Irfan;Soo, Hong Song
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.2
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    • pp.893-898
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    • 2013
  • It is always a dream to recreate the experience of a particular place, the Panorama Virtual Reality has been interpreted as a kind of technology to create virtual environments and the ability to maneuver angle for and select the path of view in a dynamic scene. In this paper we examined an efficient method for Image registration and stitching of captured imaged. Two approaches are studied in this paper. First, dynamic programming is used to spot the ideal key points, match these points to merge adjacent images together, later image blending is used for smooth color transitions. In second approach, FAST and SURF detection are used to find distinct features in the images and nearest neighbor algorithm is used to match corresponding features, estimate homography with matched key points using RANSAC. The paper also covers the automatically choosing (recognizing, comparing) images to stitching method.

Advanced Seam Finding Algorithm for Stitching of 360 VR Images (개선된 Seam Finder를 이용한 360 VR 이미지 스티칭 기술)

  • Son, Hui-Jeong;Han, Jong-Ki
    • Journal of Broadcast Engineering
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    • v.23 no.5
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    • pp.656-668
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    • 2018
  • VR (Virtual Reality) is one of the important research topics in the field of multimedia application system. The quality of the visual data composed from multiple pictures depends on the performance of stitching technique. The stitching module consists of feature extraction, mapping of those, warping, seam finding, and blending. In this paper, we proposed a preprocessing scheme to provide the efficient mask for seam finder. Incorporating of the proposed mask removes the distortion, such as ghost and blurring, in the stitched image. The simulation results show that the proposed algorithm outperforms other conventional techniques in the respect of the subjective quality and the computational complexity.

Study on the Conservation and Restoration of Excavated Costume (출토복식의 보존.보수에 관한 연구)

  • An, Myung-Sook
    • Journal of the Korean Society of Costume
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    • v.57 no.3 s.112
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    • pp.14-22
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    • 2007
  • This study is about the excavated costume representing fundamental "Conservation and Restoration". It's not a report of a specific case, but it is a guideline that contains the costume and textile of museum collection. It is not research based on experiments; however, this paper is basically consists of various reported-documents. Followings are the conclusions of this study 1. These are the factors that we have to know to prevent the causes of fabric's degradation. -Light, -Humidity and temperature, -Microscopic organism, -Insect and rodent animal, -Air pollution, -Ph, -Handling 2. Basic principles of conservation and restoration follows are: -Select the Reversible method, -Represent the easily distinguishable repaired place, -Should be acted by an expert or people with experience, -Before the restoration, accurate and specified records should be completed, -Procedure, treatment method, and materials used should be recorded prior to restoration, -Should be cared minimally, -Be cautious when using the conservation materials, -When caring, make sure nothing is against the principle of aesthetic, historic, and form of preservation 3. The types of restoration are type of straight or curve, type of hole, type of without warp or weft, type of special part damage something like sleeve, collar, type of form that is severely damaged, and type of separated pieces. 4. The method of restoration is sewing, stitching, and the combination of sewing and stitching. 5. The restoration seams are welt seam, plain seam, flat felled seam, french seam etc. And there are kinds of used-sewing, such as, broad stitching, backstitch, half backstitch, basking, hemming, saddle stitching etc.

A Study on Excavated Costume of the Bae's Clan of Seong-san - Focused on Analysis on Features of Sewing Observed in Po(Coat in Korea in the Past) - (성산 배씨 문중 출토복식에 관한 연구 - 포(袍)에 나타난 봉제구성법의 특징 분석을 중심으로 -)

  • Lee, Sang-Eun;Lee, Dong-A
    • Journal of the Korea Fashion and Costume Design Association
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    • v.11 no.1
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    • pp.133-153
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    • 2009
  • Clothing was excavated when the Bae's clan of Seong-san, Yeong-dong, Chung-buk in Sep. 2, 2004. The tombs that the clothing could be restored were the tombs of Bae Cheon-jo(10th generation) and the tomb of Mrs. Nam of Go-seong, the wife of Bae Sang-gyeong(1lth generation). For identifying the features and methods of sewing used for the clothing of man and woman around Po(coat in Korea in the past) in the 16th to 17th century, this study investigated 12 items from Bae Cheon-jo's tomb(Sibok, Dopo(robe), Jungchimak(outer coat with large sleeves) and Gwa-du and 5 items(Jangok(lady's cloak) and Jungchimak) from Mrs. Nam's tomb of Go-seong. For sewing, broad-stitching, hemming and even-back-stitching were used the most in that order. Furthermore, various kinds of sophisticated stitching including old flat felled seam, decorative saddle stitching and buttonhole stitch, clothing made roughly as a shroud and fabric attached on the clothing were also observed. We may not have many opportunities to understand the change of clothing in Korea from mid 16th century to mid 17th century through the clothing of father-in-law and daughter-in-law in a family. As a result, we will be able to understand the features of sewing in a family and from the 16th century to the 17th century.

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Efficient image-stitching using preprocessing for a super resolution image (전처리를 활용한 고해상도 영상을 위한 효율적인 영상 스티칭)

  • Bae, JoungEun;Yoo, Hoon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.9
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    • pp.1738-1743
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    • 2017
  • This paper presents an efficient image stitching method using preprocessing in order to generate a super resolution image. Two-dimensional (2D) scanners are consistently used in various areas but they have limitations such as paper sizes and materials. To overcome these problem with low-cost, an efficient imaging stitching method is proposed for producing a super resolution panorama image. To scan a very large sized paper using mobile phones, a simple portable cradle which fixes height is employed producing an input image set. To improve matching performance, a preprocessing method is introduced before searching correspondences. Then alpha blending is applied to an input image set to produce a super resolution panorama image. The proposed method is faster and easier than the existing method which is employed by Open CV. Experiment results show that the proposed method is three times faster and performs better than the existing method.

Local Differential Pixel Assessment Method for Image Stitching (영상 스티칭의 지역 차분 픽셀 평가 방법)

  • Rhee, Seongbae;Kang, Jeonho;Kim, Kyuheon
    • Journal of Broadcast Engineering
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    • v.24 no.5
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    • pp.775-784
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    • 2019
  • Image stitching is a technique for solving the problem of narrow field of view of a camera by composing multiple images. Recently, as the use of content such as Panorama, Super Resolution, and 360 VR increases, the need for faster and more accurate image stitching technology is increasing. So far, many algorithms have been proposed to satisfy the required performance, but the objective evaluation method for measuring the accuracy has not been standardized. In this paper, we present the problems of PSNR and SSIM(Structural similarity index method) measurement methods and propose a Local Differential Pixel Mean method. The LDPM evaluation method that includes geometric similarity and brightness measurement information is proved through a test, and the advantages of the evaluation method are revealed through comparison with SSIM.

A Research on Cylindrical Pill Bottle Recognition with YOLOv8 and ORB

  • Dae-Hyun Kim;Hyo Hyun Choi
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.2
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    • pp.13-20
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    • 2024
  • This paper introduces a method for generating model images that can identify specific cylindrical medicine containers in videos and investigates data collection techniques. Previous research had separated object detection from specific object recognition, making it challenging to apply automated image stitching. A significant issue was that the coordinate-based object detection method included extraneous information from outside the object area during the image stitching process. To overcome these challenges, this study applies the newly released YOLOv8 (You Only Look Once) segmentation technique to vertically rotating pill bottles video and employs the ORB (Oriented FAST and Rotated BRIEF) feature matching algorithm to automate model image generation. The research findings demonstrate that applying segmentation techniques improves recognition accuracy when identifying specific pill bottles. The model images created with the feature matching algorithm could accurately identify the specific pill bottles.

Luminance Compensation using Feature Points and Histogram for VR Video Sequence (특징점과 히스토그램을 이용한 360 VR 영상용 밝기 보상 기법)

  • Lee, Geon-Won;Han, Jong-Ki
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.808-816
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    • 2017
  • 360 VR video systems has become important to provide immersive effect for viewers. The system consists of stitching, projection, compression, inverse projection, viewport extraction. In this paper, an efficient luminance compensation technique for 360 VR video sequences, where feature extraction and histogram equalization algorithms are utilized. The proposed luminance compensation algorithm enhance the performance of stitching in 360 VR system. The simulation results showed that the proposed technique is useful to increase the quality of the displayed image.

Stabilization Technique for 360 VR Video Sequences (360 VR 영상용 흔들림 제거 기술)

  • Kim, Geun-Bae;Lee, Jae-Yung;Han, Jong-Ki
    • Journal of Broadcast Engineering
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    • v.22 no.6
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    • pp.817-828
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    • 2017
  • In this paper, we propose an efficient stabilization algorithm for 360 VR sequence, where the geometric information and the relationship between various projection formats have been utilized. The proposed scheme consists of '1st stitching', 'extraction of wide angle picture from VR data', 'stabilization', and '2nd stitching'. The simulation results show that the proposed method outperforms the conventional algorithms in the viewpoint of image quality for end-user.

A Novel Video Stitching Method for Multi-Camera Surveillance Systems

  • Yin, Xiaoqing;Li, Weili;Wang, Bin;Liu, Yu;Zhang, Maojun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.10
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    • pp.3538-3556
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    • 2014
  • This paper proposes a novel video stitching method that improves real-time performance and visual quality of a multi-camera video surveillance system. A two-stage seam searching algorithm based on enhanced dynamic programming is proposed. It can obtain satisfactory result and achieve better real-time performance than traditional seam-searching methods. The experiments show that the computing time is reduced by 66.4% using the proposed algorithm compared with enhanced dynamic programming, while the seam-searching accuracy is maintained. A real-time local update scheme reduces the deformation effect caused by moving objects passing through the seam, and a seam-based local color transfer model is constructed and applied to achieve smooth transition in the overlapped area, and overcome the traditional pixel blending methods. The effectiveness of the proposed method is proved in the experiements.