• Title/Summary/Keyword: disparity image

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Image Registration for Cloudy KOMPSAT-2 Imagery Using Disparity Clustering

  • Kim, Tae-Young;Choi, Myung-Jin
    • Korean Journal of Remote Sensing
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    • v.25 no.3
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    • pp.287-294
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    • 2009
  • KOMPSAT-2 like other high-resolution satellites has the time and angle difference in the acquisition of the panchromatic (PAN) and multispectral (MS) images because the imaging systems have the offset of the charge coupled device combination in the focal plane. Due to the differences, high altitude and moving objects, such as clouds, have a different position between the PAN and MS images. Therefore, a mis-registration between the PAN and MS images occurs when a registration algorithm extracted matching points from these cloud objects. To overcome this problem, we proposed a new registration method. The main idea is to discard the matching points extracted from cloud boundaries by using an automatic thresholding technique and a classification technique on a distance disparity map of the matching points. The experimental result demonstrates the accuracy of the proposed method at ground region around cloud objects is higher than a general method which does not consider cloud objects. To evaluate the proposed method, we use KOMPSAT-2 cloudy images.

3D Target Tracking System using Adaptive Disparity Motion Vector (프레넬 렌즈의 영상 왜곡 보정을 위한 최적의 광학설계)

  • Ko, Jung-Hwan;Lee, Jung-Suk
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.1205-1206
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    • 2008
  • In the conventional floating display system some image distortions might be occurred in the floating image plane, in which a flat screen has been mostly used for providing an adequate input image plane. In this paper, as a new approach to alleviate image distortion problem in a floating display system, a curved screen is suggested by through some computer simulation using an optics design program of Light Tools.

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Improved Disparity Map Computation on Stereoscopic Streaming Video with Multi-core Parallel Implementation

  • Kim, Cheong Ghil;Choi, Yong Soo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.2
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    • pp.728-741
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    • 2015
  • Stereo vision has become an important technical issue in the field of 3D imaging, machine vision, robotics, image analysis, and so on. The depth map extraction from stereo video is a key technology of stereoscopic 3D video requiring stereo correspondence algorithms. This is the matching process of the similarity measure for each disparity value, followed by an aggregation and optimization step. Since it requires a lot of computational power, there are significant speed-performance advantages when exploiting parallel processing available on processors. In this situation, multi-core CPU may allow many parallel programming technologies to be realized in users computing devices. This paper proposes parallel implementations for calculating disparity map using a shared memory programming and exploiting the streaming SIMD extension technology. By doing so, we can take advantage both of the hardware and software features of multi-core processor. For the performance evaluation, we implemented a parallel SAD algorithm with OpenMP and SSE2. Their processing speeds are compared with non parallel version on stereoscopic streaming video. The experimental results show that both technologies have a significant effect on the performance and achieve great improvements on processing speed.

Multi-Parameter Operation Method for Robust Disparity Plane (강건한 시차 평면을 위한 다중 파라미터 연산 기법)

  • Kim, Hyun-Jung;Weon, Il-Yong;Lee, Chang-Hun
    • KIPS Transactions on Software and Data Engineering
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    • v.4 no.5
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    • pp.241-246
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    • 2015
  • Although many different methods have been used to solve stereo correspondent problems, the deviation of accuracy is too big. Among those many methods, the one that uses segmentation information of input image has received high attention in academic field since it is very close to vision recognition. In this thesis, the existing method of acquiring a single value by using the segment information and initial disparity value was viewed in NP-hard problem to propose a new method. In order to verify the validity of the proposed method, well-known data were used for experiment and the resulted data was analyzed. Although there were some disadvantages in the time aspect, it showed somewhat useful results in the accuracy aspect.

Multi-view Video Coding using View Interpolation (영상 보간을 이용한 다시점 비디오 부호화 방법)

  • Lee, Cheon;Oh, Kwan-Jung;Ho, Yo-Sung
    • Journal of Broadcast Engineering
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    • v.12 no.2
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    • pp.128-136
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    • 2007
  • Since the multi-view video is a set of video sequences captured by multiple array cameras for the same three-dimensional scene, it can provide multiple viewpoint images using geometrical manipulation and intermediate view generation. Although multi-view video allows us to experience more realistic feeling with a wide range of images, the amount of data to be processed increases in proportion to the number of cameras. Therefore, we need to develop efficient coding methods. One of the possible approaches to multi-view video coding is to generate an intermediate image using view interpolation method and to use the interpolated image as an additional reference frame. The previous view interpolation method for multi-view video coding employs fixed size block matching over the pre-determined disparity search range. However, if the disparity search range is not proper, disparity error may occur. In this paper, we propose an efficient view interpolation method using initial disparity estimation, variable block-based estimation, and pixel-level estimation using adjusted search ranges. In addition, we propose a multi-view video coding method based on H.264/AVC to exploit the intermediate image. Intermediate images have been improved about $1{\sim}4dB$ using the proposed method compared to the previous view interpolation method, and the coding efficiency have been improved about 0.5 dB compared to the reference model.

3D multiple objects recognition using a disparity image

  • Park, Hongpyo;Park, Seungjoon;Kim, Sungjin;Sangchol Won
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.34.3-34
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    • 2002
  • 1. Introduction 2. Stereovison Algorithm 3. Superquadric Models 4. Recovery of Superquadric Models 5. Conclusions

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Multi-view Image Generation using Grid-mesh based Image Domain Warping and Occlusion Region Information (차폐영역 정보와 그리드 메쉬 기반의 영상 워핑을 이용한 다시점 영상 생성)

  • Lim, Jong-Myeong;Um, Gi-Mun;Shin, Hong-Chang;Lee, Gwangsoon;Hur, Namho;Yoo, Jisang
    • Journal of Broadcast Engineering
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    • v.18 no.6
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    • pp.859-871
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    • 2013
  • In this paper, we propose an algorithm that generates multi-view images by grid-mesh based image domain warping using occlusion mask and various image features obtained from the stereoscopic images. In the proposed algorithm, we first extract image saliency map, line segments and disparity saliency map from stereo images and then get them through a process that improves the quality of extracted features. This process is accomplished in two steps. In the first step, reliability of disparity saliency map on object boundary regions is enhanced by using occlusion information. And in the second step, we enhance the quality of image features in terms of temporal consistency by using temporal consistency information for stereo images. With these enhanced features, multi-view images are generated by grid-mesh based image domain warping technique. Experimental results show that the proposed algorithm performs better than existing algorithms in terms of visual quality.

View Morphing for Generation of In-between Scenes from Un-calibrated Images (비보정 (un-calibrated) 영상으로부터 중간영상 생성을 위한 뷰 몰핑)

  • Song Jin-Young;Hwang Yong-Ho;Hong Hyun-Ki
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.1
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    • pp.1-8
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    • 2005
  • Image morphing to generate 2D transitions between images may be difficult even to express simple 3D transformations. In addition, previous view morphing method requires control points for postwarping, and is much affected by self- occlusion. This paper presents a new morphing algorithm that can generate automatically in-between scenes from un-calibrated images. Our algorithm rectifies input images based on the fundamental matrix, which is followed by linear interpolation with bilinear disparity map. In final, we generate in-between views by inverse mapping of homography between the rectified images. The proposed method nay be applied to photographs and drawings, because neither knowledge of 3D shape nor camera calibration, which is complex process generally, is required. The generated in-between views can be used in various application areas such as simulation system of virtual environment and image communication.

The Effects of Stimulus-background Contrast, Background Texture Density and Screen Disparity of Stimulus on Crosstalk Perception (자극과 배경의 대비, 배경 텍스쳐 밀도, 자극의 화면 시차가 크로스톡 지각에 미치는 영향)

  • Park, JongJin;Li, Hyung-Chul O.;Kim, ShinWoo
    • Journal of Broadcast Engineering
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    • v.18 no.2
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    • pp.225-236
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    • 2013
  • 3D contents could cause unique 3D visual fatigue. Screen disparity, image blurring, and crosstalk are known to be the three major factors responsible for the fatigue. Among these, screen disparity and image blurring are content factors, that is, one can directly manipulate contents themselves to handle visual fatigue caused by these two factors. On the other hand, because crosstalk is closely tied to physical characteristics of 3D display, it is difficult or even impossible to reduce crosstalk-driven visual fatigue unless one replaces 3D display itself (for example, from active to passive display). However, the effects of crosstalk on 3D visual fatigue depends on visual stimulus features (that is, contents), and thus it is possible to manipulate stimulus features in order to handle visual fatigue caused by crosstalk. Hence, this research tested the effects of visual stimulus features on crosstalk (which then causes 3D visual fatigue). Using relative depth discrimination task, we tested the effects of stimulus-background contrast, background texture density, and screen disparity on the degree of perceived crosstalk. The results showed that crosstalk decreases with presence of background texture and with less degree of screen disparity.

Weighted Census Transform and Guide Filtering based Depth Map Generation Method (가중치를 이용한 센서스 변환과 가이드 필터링 기반깊이지도 생성 방법)

  • Mun, Ji-Hun;Ho, Yo-Sung
    • Journal of the Institute of Electronics and Information Engineers
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    • v.54 no.2
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    • pp.92-98
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    • 2017
  • Generally, image contains geometrical and radiometric errors. Census transform can solve the stereo mismatching problem caused by the radiometric distortion. Since the general census transform compares center of window pixel value with neighbor pixel value, it is hard to obtain an accurate matching result when the difference of pixel value is not large. To solve that problem, we propose a census transform method that applies different 4-step weight for each pixel value difference by applying an assistance window inside the window kernel. If the current pixel value is larger than the average of assistance window pixel value, a high weight value is given. Otherwise, a low weight value is assigned to perform a differential census transform. After generating an initial disparity map using a weighted census transform and input images, the gradient information is additionally used to model a cost function for generating a final disparity map. In order to find an optimal cost value, we use guided filtering. Since the filtering is performed using the input image and the disparity image, the object boundary region can be preserved. From the experimental results, we confirm that the performance of the proposed stereo matching method is improved compare to the conventional method.