• ETRI Journal
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• v.44 no.1
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• pp.10-23
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• 2022

Despite the significant progress in camera pose estimation and structure-from-motion reconstruction from unstructured images, methods that exploit a priori information on camera arrangements have been overlooked. Conventional state-of-the-art methods do not exploit the geometric structure to recover accurate camera poses from a set of patch images in an array for mosaic-based imaging that creates a wide field-of-view image by sewing together a collection of regular images. We propose a camera pose estimation framework that exploits the array-structured image settings in each incremental reconstruction step. It consists of the two-way registration, the 3D point outlier elimination and the bundle adjustment with a constraint term for consistent rotation vectors to reduce reprojection errors during optimization. We demonstrate that by using individual images' connected structures at different camera pose estimation steps, we can estimate camera poses more accurately from all structured mosaic-based image sets, including omnidirectional scenes.

• Proceedings of the IEEK Conference
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• 2002.06d
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• pp.323-326
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• 2002

This paper has been studied how to deal with moving objects in images when we mosaic them. The global motion between two images is biased due to the local motion from these moving objects, so it is very important how to eliminate the effects of them. In this paper contour-based approach for mosaicking images that contains moving objects is presented. Once we get the contours of images we can both eliminate the moving objects and mosaic the images. In this stage, hierarchical moving objects elimination technique is introduced. Experiment is done for Stefan tennis sequences to verify the proposed algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.239-243
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• 1999

Mosaic image involves the information of 2D images about objects and background. In this paper, we describe how to construct the information from the mosaic image. We propose the animation method through which it efficiently changes a camera angle from a 2D scene to a 3D scene after it presumes a 3D scene in an assigned place in based on the information of 2D image.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.4
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• pp.429-435
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• 2009

This paper propose color assessment method using HSI model to evaluate quantitative quality of mosaic images by aerial digital frame camera. Firstly, we convert RGB color into HSI model and we extract six pixel information of S and I corresponding to H from adjacency image by using HSI model. Secondly, a method to measure similarity and contrast is proposed and performed for assesment of observation regarding adjacency images. Through these procedure, we could generate four parameters. We could observe that both of the evaluation results by proposed method and the evaluation results by visual were almost similar. This facts support that our method based on several formula can be an objective method to evaluate a quality of mosaic images itself.

• Korean Journal of Remote Sensing
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• v.30 no.1
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• pp.1-12
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• 2014

The purpose of this paper is to provide a compact overview of the state-of-art image mosaic algorithms in commercial softwares and to propose objective assessment method of that. Among them, several algorithms, widely used and high quality, result in the mosaic image by applying to seven different kinds of seasons of KOMPSAT-2 images and then consequently each result is analyzed visually. Moreover, quality index is suggested to assess the similarity with colors regarding adjacency images and then it is performed by comparing and analyzing the visual and quantitative results. Consequently, we found out the suggested quality index is feasible.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.155-156
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• 2010

`Panoramic image' is called generally 'mosaic image', to create a new image by matching the number of relevant images. In this paper, we are entering data through the camera. Therefore, perspective model was used for recognition of camera parameters, minimizing the discrepancies by proposing measure of discrepancy between the frames. In addition, how to create panoramic images is proposed by fixed reference and time-varying reference in order to create panoramic images.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.7 no.8
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• pp.1792-1801
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• 2003

In these days, image mosaic is getting interest in the field of advertisement, tourism, game, medical imaging, and so on with the development of internet technology and the performance of personal computers. The main problem of mage mosaic is searching corresponding points correctly in the overlapped area between images. However, previous methods requires a lot of CPU times and data processing for finding corresponding points. And they need repeated recording with a revolution of 360 degree around objects or background. This paper presents a new image mosaic method which generates a panorama image from a video sequence recorded by a general video camera. Our method finds the corresponding points between two successive images by using a new direction oriented 3­step block matching methods. Experimental results show that the suggested method is more efficient than the methods based on existing block matching algorithm, such as full search and K­step search algorithm.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.12
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• pp.2949-2955
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• 2015

Recently, with the sharp increase of digital visual media such as photographs, animations, and digital videos, it has been necessary to generate mosaic blocks in a static or dynamic image intentionally or unintentionally. In this paper, we suggest a new method for detecting mosaic blocks contained in a color image using boundary features. The suggested method first extracts Canny edges in the image and finds candidate mosaic blocks with the boundary features of mosaic blocks. The method then determines real mosaic blocks after filtering out non-mosaic blocks using geometric features like size and elongatedness features. Experimental results show that the proposed method can detect mosaic blocks robustly rather than other methods in various types of input images.

• Korean Journal of Remote Sensing
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• v.17 no.1
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• pp.45-56
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• 2001

To acquire seabed information, the mosaic images of the seabed were generated using Side Scan Sonar. Short time energy function which is needed for slant range correction is proposed to get the height of Tow-Fish to the reflected acoustic amplitudes of each ping, and that leads to a mosaic image without water column. While generating mosaic image, maximum value, last value and average value are used for the measure of a pixel in the mosaic image and 3-D information was kept by using acoustic amplitudes which were heading for specific direction. As a generating method of mosaic image, low resolution mosaic image which is over 1m/pixel resolution was generated for whole survey area first, and then high resolution mosaic image which is generated under 0.1m/pixel resolution was generated for the selected area. Rocks, ripple mark, sand wave, tidal flat and artificial fish reef are found in the mosaic image.

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.415-416
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• 2014