• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.201-204
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• 2005

Recently, the generation of panoramic images and high quality mosaic images from video sequences has been attempted by a variety of investigations. Among a matter of investigation, in this paper, left and right stereo mosaic image generation utilizing airborne-video sequence images is focused upon. The stereo mosaic image is generated by creating left and right mosaic image which is generated by front and rear slit having different viewing angle in consecutive video frame images. The generation of stereo mosaic image proposed in this paper consists of several processes: camera parameter estimation for each video frame image, rectification, slicing, motion parallax elimination and image mosaicking. However it is necessary to check the feasibility on generating stereo mosaic image as explained processes. Therefore, in this paper, we performed the feasibility test on generating stereo mosaic image using video frame images. In doing so, anaglyphic image for stereo mosaic images is generated and tested for feasibility check.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.29 no.3
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• pp.249-255
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• 2011

The free-stereo mosaics image without GPS/INS and ground control data can be generated by using relative orientation parameters on the 3D model coordinate system. Its origin is located in one reference frame image. A 3D coordinate calculated by conjugate points on the free-stereo mosaic images is represented on the 3D model coordinate system. For determining 3D coordinate on the 3D absolute coordinate system utilizing conjugate points on the free-stereo mosaic images, transformation methodology is required for transforming 3D model coordinate into 3D absolute coordinate. Generally, the 3D similarity transformation is used for transforming each other 3D coordinates. Error of 3D model coordinates used in the free-stereo mosaic images is non-linearly increased according to distance from 3D model coordinate and origin point. For this reason, 3D model coordinates used in the free-stereo mosaic images are difficult to transform into 3D absolute coordinates by using linear transformation. Therefore, methodology for transforming nonlinear 3D model coordinate into 3D absolute coordinate is needed. Also methodology for resampling the free-stereo mosaic image to the geo-stereo mosaic image is needed for overlapping digital map on absolute coordinate and stereo mosaic images. In this paper, we propose a 3D non-linear transformation for converting 3D model coordinate in the free-stereo mosaic image to 3D absolute coordinate, and a 2D non-linear transformation based on 3D non-linear transformation converting the free-stereo mosaic image to the geo-stereo mosaic image.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.3
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• pp.49-56
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• 2009

Recently, a generation of high quality mosaic images from video sequences has been attempted by a variety of investigations. Among the matter of investigation, in this paper, generation on stereo mosaic utilizing airborne-video sequence images is focused upon. The stereo mosaic is made by creating left and right mosaic which are fabricated by front and rear slices having different viewing angle in consecutive video frames. For making the stereo mosaic, motion parameters which are able to define geometric relationship between consecutive video frames are determined. For determining motion parameters, affine model which is able to explain relative motion parameters is applied by this paper. The mosaicing method using relative motion parameters is called by free mosaic. The free mosaic proposed in this paper consists of 4 step processes: image registration with reference to first frame using affine model, front and rear slicing, stitching line definition and image mosaicing. As the result of experiment, the left and right mosaic image, anaglyphic image for stereo mosaic images are showed and analyzed y-parallax for checking accuracy.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.4
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• pp.453-460
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• 2009

For constructing 3D information using aerial photograph or video sequences, left and right stereo images having different viewing angle should be prepared in overlapping area. In video sequences, left and right stereo images would be generated by mosaicing left and right slice images extracted in consecutive video sequences. Therefore, this paper is focused on generating left and right stereo mosaic images that are able to construct 3D information and video sequences could be made for the best use. In the stereo mosaic generation, motion parameters between video sequences should be firstly determined. In this paper, to determine motion parameters, free mosaic method using geometric relationship, such as relative orientation parameters, between consecutive frame images without GPS/INS geo-data have applied. After determining the motion parameters, the mosaic image have generated by 4 step processes: image registration, image slicing, determining on stitching line, and 3D image mosaicking. As the result of experiment, generated stereo mosaic image and analyzed result of x, y-parallax have showed.

• Journal of the Institute of Convergence Signal Processing
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• v.10 no.1
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• pp.13-22
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• 2009

In this paper, we propose the 3D shape reconstruction method that combine the mosaic method and the active stereo matching using the laser beam. The active stereo matching method detects the position information of the irradiated laser beam on object by analyzing the color and brightness variation of left and right image, and acquires the depth information in epipolar line. The mosaic method extracts feature point of image by using harris comer detection and matches the same keypoint between the sequence of images using the keypoint descriptor index method and infers correlation between the sequence of images. The depth information of the sequence image was calculated by the active stereo matching and the mosaic method. The merged depth information was reconstructed to the 3D shape information by wrapping and blending with image color and texture. The proposed reconstruction method could acquire strong the 3D distance information, and overcome constraint of place and distance etc, by using laser slit beam and stereo camera.

• Journal of the Korean Society of Tobacco Science
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• v.1 no.1
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• pp.33-38
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• 1979

A simple test using latex-agglutination was developed to detect serologically tobacco mosaic virus (TMV), soybean mosaic virus (SoyMV), and barley stripe mosaic virus (BSMV) from infected Plants. Latex spheres ( 0.81 $\mu$, Difco) were adsorbed with immuno globulin purified by electrophoresis from crude antiserum against viruses. The antibody- sensitized latex suspension was mixed with sap from virus -infected leaves in a glass capillary tube (inner diam. 1mm $\times$ 100 mm length) The mixture, after agitation, was observed under a stereo microscope at low magnification (X20 - X4O), to examine the reaction between antigen (Virus) and its antibody. Flocculation occurred when the reaction was positive.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.74-77
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• 2007

In this paper, we propose a system which can display panoramic-stereopic image for tele-operating excavator. the system was implemented by using center-viewpoint corresponding algorithm and image mosaic process. We could obtain remarkable result from the survey among the ex-pert of excavator. We also design a control station with RF transfer module, H.264 codec module and suggested algorithm. Especially, our system shows a superb performance on cubic effect and presence sense of a field of excavating work.

• Korean Journal Plant Pathology
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• v.14 no.2
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• pp.136-144
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• 1998

Many cloves of native cultivated garlics in Korea were found to be infested by mites when observed with stereo-microscope. The mite was identified by light and scanning electron microscopic observation as Aceria tulipae. Surveying viruses from the vegetatively propagated garlic, highly flexuous, filamentous particles (700∼800 nm) were detected in Aceria tulipae, local lesions of Chenopodium murale after sap transmissions, mosaic garlic leaves inoculated with mite-borne virus by transmission of Aceria tulipae and naturally infected garlic leaves. The mite-borne virus isolated did not react with antisera of aphid-borne potyviruses (LYSV-G, LYSV-L, WoYSV) or carlavirus (GLV), but reacted with antisera of garlic mite-borne viruses (GV-C, GMbMV). In ultratin sections of mite-borne virus infected garlic tissues, aggregates of virus particles and membrane proliferations were found in the parenchyma cells, but cytoplasmic cylindrical inclusions were not observed. Heavily mite-infested plants showed streaking and malformation due to mite feeding. The mite-borne virus was identified as garlic mite-borne mosaic virus (GMbMV), the mite-borne genus Rymovirus of the Potyviridae by mite transmission, morphology of virus particles, serological relationships, host range, distribution pattern of virus particles and inclusion bodies in the infected cells. The results demonstrate that mite-borne virus is one of the major viruses infecting native cultivated garlic plants showing mosaic or streak symptoms in Korea.

• Korean Journal of Remote Sensing
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• v.16 no.1
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• pp.99-108
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• 2000

The purpose of this paper is to combine digital elevation models (DEM) using SPOT satellite stereo images. After DEM extraction, a grid of longitude and latitude is generated using the results of DEM extraction. Heights at each grid location are determined from the obtained DEMs by using triangular image warping interpolation that uses the heights of the three nearest neighbors. The final heights at each grid location can then be determined by using the maximum likelihood as a fusion strategy. The input images used in this paper are two pairs of SPOT stereo images and experiments show that heights of DEM are successfully fused

• Korean Journal of Remote Sensing
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• v.31 no.2
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• pp.183-191
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• 2015

If the damage analysis on river-side facilities such as dam, river bank structures and bridges caused by disasters such as typhoon, flood, etc. becomes available, it can be a great help for disaster recovery and decision-making. In this research, We tried to extract a Digital Surface Model (DSM) and analyze the accuracy from Unmanned Air Vehicle (UAV) images on river-side facilities. We tried to apply stereo image-based matching technique, then extracted match results were united with one mosaic DSM. The accuracy was verified compared with a DSM derived from LIDAR data. Overall accuracy was around 3m of absolute and root mean square error. As an analysis result, we confirmed that exterior orientation parameters exerted an influence to DSM accuracy. For more accurate DSM generation, accurate EO parameters are necessary and effective interpolation and post process technique needs to be developed. And the damage analysis simulation with DSM has to be performed in the future.