• Title/Summary/Keyword: disparity image

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Implementation of Random Controlling of Convergence Point in VR Image Content Production (VR 영상콘텐츠 제작을 위한 컨버전스 포인트 임의조절 구현)

  • Jin, Hyung Woo;Baek, Gwang Ho;Kim, Mijin
    • Smart Media Journal
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    • v.4 no.4
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    • pp.111-119
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    • 2015
  • As a variety of HMD(Head Mounted Display) has come out, the production of 3D images onto which VR(Virtual Reality) technologies are grafted has been contributed to activating the production of image contents depending on a tangible or immersing type. VR-based image contents have enlarged their applicability across the entertainment industry from animation and game to realistic images. At the same time, the solution development for producing VR image contents has also gained elasticity. However, among those production solutions which have been used until now, fixed stereo camera based photographing has a limit that the binocular disparity of a user is fixed. This does not only restrict a way of expression a producer intends to direct, but also may cause the effect of 3D or space not to be sensed enough as view condition is not considered enough in a user's side. This study is aimed at resolving with skills applying in the latter part of 3D image production the problem that convergence points may be adjusted with restriction, which tends to happen at the time of the production of VR image contents. The later stage of the 3D imaging work analyzes and applies to game engines the significance of adjusting convergence points through the visualization of binocular disparity so that it is available to implement a function that the points could be controlled at random by a user.

Efficient and Robust Correspondence Detection between Unbalanced Stereo Images

  • Kim, Yong-Ho;Kim, Jong-Su;Lee, Sangkeun;Choi, Jong-Soo
    • IEIE Transactions on Smart Processing and Computing
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    • v.1 no.3
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    • pp.161-170
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    • 2012
  • This paper presents an efficient and robust approach for determining the correspondence between unbalanced stereo images. The disparity vectors were used instead of feature points, such as corners, to calculate a correspondence relationship. For a faster and optimal estimation, the vectors were classified into several regions, and the homography of each region was calculated using the RANSAC algorithm. The correspondence image was calculated from the images transformed by each homography. Although it provided good results under normal conditions, it was difficult to obtain reliable results in an unbalanced stereo pair. Therefore, a balancing method is also proposed to minimize the unbalance effects using the histogram specification and structural similarity index. The experimental results showed that the proposed approach outperformed the baseline algorithms with respect to the speed and peak-signal-to-noise ratio. This work can be applied to practical fields including 3D depth map acquisition, fast stereo coding, 2D-to-3D conversion, etc.

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Virtual Control of Optical Axis of the 3DTV Camera for Reducing Visual Fatigue in Stereoscopic 3DTV

  • Park, Jong-Il;Um, Gi-Mun;Ahn, Chung-Hyun;Ahn, Chie-Teuk
    • ETRI Journal
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    • v.26 no.6
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    • pp.597-604
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    • 2004
  • In stereoscopic television, there is a trade-off between visual comfort and 3-dimensional (3D) impact with respect to the baseline-stretch of a 3DTV camera. It is necessary to adjust the baseline-stretch at an appropriate the distance depending on the contents of a scene if we want to obtain a subjectively optimal quality of an image. However, it is very hard to obtain a small baseline-stretch using commercially available cameras of broadcasting quality where the sizes of the lens and CCD module are large. In order to overcome this limitation, we attempt to freely control the baseline-stretch of a stereoscopic camera by synthesizing the virtual views at the desired location of interval between two cameras. This proposed technique is based on the stereo matching and view synthesis techniques. We first obtain a dense disparity map using a hierarchical stereo matching with the edge-adaptive multiple shifted windows. Then, we synthesize the virtual views using the disparity map. Simulation results with various stereoscopic images demonstrate the effectiveness of the proposed technique.

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The Grotesque in the Work of Alexander McQueen (알렉산더 맥퀸(Alexander Mcqueen) 작품의 그로테스크적 특성)

  • Kim, Sun-Young
    • Journal of the Korean Society of Costume
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    • v.58 no.8
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    • pp.106-119
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    • 2008
  • This study explores grotesque characteristics that were raised as the Aesthetics of the Ugly and how it was featured in Alexander McQueen's arts. In a methodological approach, the study attempted the analysis of historical literature that was published both nationally and internationally, along with justifiable investigation using fashion/collection magazines such as Vogue, Gap and Internet search. The scope of this study ranges from 1996's Haute Couture and Pret-a-porter collection pieces modern, to date The results of this study are summarized as follows: The first grotesque characteristic present throughout Alexander Mcqueen's arts is that it featured horrifying images or evil motives with pointy heads or horns, dark colored dresses, silver accessories, Dracula, witches, skulls, soldiers of evil, death and sickness. Second, aversion was realistically portrayed by frightening objects, extreme intimacy and motives that signify death and closely relative to cruelty to human bodies. It also became visible with physical destruction of the bodies and dissecting of internal organs, etc. Thirdly, its expression of humor is out of common sense with distorted human bodies by intentionally overemphasizing certain portion of the clothes or body parts. It also featured strangely deformed bodies by ignoring the typical shapes of clothes, vague definition of gender and using of unusual objects. Forth, half-man and half-beast images are portrayed using various types of bird species or animals to Identify disparity. It further defined this image in the form of non-human cyborg by incorporating technology.

Depth Estimation Through the Projection of Rotating Mirror Image unto Mono-camera (회전 평면경 영상의 단일 카메라 투영에 의한 거리 측정)

  • Kim, Hyeong-Seok;Song, Jae-Hong;Han, Hu-Seok
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.9
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    • pp.790-797
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    • 2001
  • A simple computer vision technology to measure the middle-ranged depth with a mono camera and a plain mirror is proposed. The proposed system is structured with the rotating mirror in front of the fixed mono camera. In contrast to the previous stereo vision system in which the disparity of the closer object is larger than that of the distant object, the pixel movement caused by the rotating mirror is bigger for the pixels of the distant object in the proposed system. Being inspired by such distinguished feature in the proposed system, the principle of the depth measurement based on the relation of the pixel movement and the distance of object is investigated. Also, the factors to influence the precision of the measurement are analysed. The benefits of the proposed system are low price and less chance of occlusion. The robustness for practical usage is an additional benefit of the proposed vision system.

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A New Stereo Matching Algorithm (새로운 스테레오 정합 알고리즘)

  • Kim, Choong-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.10
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    • pp.1829-1834
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    • 2006
  • In this raper in order to recover sharp object boundaries we propose a new efficient stereo matching algorithm in which window size is varied to the distance from the boundaries of object. To this end, the processing region is divided into small subregions with a same area and the disparities of the center pixels in the subregions are calculated using a area-based algorithm with multiple windows. From the this disparity map we can find the edges of the contracted objects. The disparities of original image are obtained using the gradient constraint that means the disparity of the center pixel is similar to the ones of the remaining pixels in the subregion. from the experimental results it is found that the proposed algorithm is very good for recovering sharp object boundaries compared to the similar different algorithm.

Fast Encoder Design for Multi-view Video

  • Zhao, Fan;Liao, Kaiyang;Zhang, Erhu;Qu, Fangying
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.7
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    • pp.2464-2479
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    • 2014
  • Multi-view video coding is an international encoding standard that attains good performance by fully utilizing temporal and inter-view correlations. However, it suffers from high computational complexity. This paper presents a fast encoder design to reduce the level of complexity. First, when the temporal correlation of a group of pictures is sufficiently strong, macroblock-based inter-view prediction is not employed for the non-anchor pictures of B-views. Second, when the disparity between two adjacent views is above some threshold, frame-based inter-view prediction is disabled. Third, inter-view prediction is not performed on boundary macroblocks in the auxiliary views, because the references for these blocks may not exist in neighboring views. Fourth, finer partitions of inter-view prediction are cancelled for macroblocks in static image areas. Finally, when estimating the disparity of a macroblock, the search range is adjusted according to the mode size distribution of the neighboring view. Compared with reference software, these techniques produce an average time reduction of 83.65%, while the bit-rate increase and peak signal-to-noise ratio loss are less than 0.54% and 0.05dB, respectively.

Fast Approach for Stereo Balancing Mapping Function

  • Kim, J.S.;Lee, S.K.;Kim, T.Y.;Lee, J.Y.;Choi, J.S.
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2009.01a
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    • pp.286-289
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    • 2009
  • This paper presents an effective approach to minimize recursive computations for balancing stereo pairs by using disparity vector errors and its directional histogram. A stereo balancing function is computed from the correspondent pixels between two images, and a simple approach is to find the matching blocks of two images. However, this procedure requires recursive operation, and its computation cost is very high. Therefore, in this paper, we propose an efficient balance method using structural similarity index and a partial re-searching scheme to reduce the computation cost considerably. For this purpose, we determine if re-searching for each block is necessary or not by using the errors and the directional histogram of disparity vectors. Experiment results show that the performance of the proposed approach can save the computations significantly with ignorable image quality degradation compared with full re-search approach.

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An algorithm for the image improvement in the multi-view images coding (Multi-view 영상 코딩에서 영상 개선 알고리듬)

  • 김도현;최동준;양영일
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.7
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    • pp.53-61
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    • 1998
  • In this paper, we propose an efficient multi-view images coding algorithm to find the optimal depth and texture from the set of multi-view images. The proposed algorithm consists of two consecutive steps, i) the depth estraction step, and ii) the texture extraction step, comparedwith the traditional algorithem which finds the depth and texture concurrently. The X-Y plane of the normalized object space is divided into traingular paatches and the Z value of the node is determined in the first step and then the texture of the each patch is extracted in the second step. In the depth extraction step, the depth of the node is determined by applying the block based disparity compensation method to the windowed area centered at the node. In the second step, the texture of the traingular patches is extracted from the multi-view images by applying the affine transformation based disparity compensation method to the traingular pateches with the depth extracted from the first step. Experimental results show that the SNR(Singnal-to- Noise Ratio) of images enconded by our algorithm is better than that of images encoded by the traditional algorithm by the amount about 4dB for for the test sets of multi-view images called dragon, kid, city and santa.

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A Study on the 3-Dimensional Implementation of Computer-Aid Management of Stereo Images (입체 화상의 3차원 전산모사기 구현에 관한 연구)

  • Lee, Joong;Yoon, Do-Young
    • Korean Chemical Engineering Research
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    • v.47 no.2
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    • pp.179-184
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    • 2009
  • Recent evolution of computer technology enhances the effectiveness of CFD(Computational Fluid Dynamics) analysis for the 3-dimensional complex transport phenomena including turbulent flows. Cheaper and easier than laser and ultra-sonic methods, the windows simulator name by CAMSI(Computer-Aided Management of Stereo Images) has been developed in order to implement the 3-dimensional image using a disparity histogram extracted from left and right stereo images. In our program using the area-based method, the matching pixel finding methods consist of SSD(Sum of Squared Distance), SAD(Sum of Absolute Distance), NCC(Normalized Correlation Coefficient) and MPC(Matching Pixel Count). On performing the program, stereo images on different window sizes for various matching pixel finding methods are compared reasonably. When the image has a small noise, SSD on small window size is more effective. Whereas there is much noise, NCC or MPC is more effective than SSD. CAMSI from the present study will be much helpful to implement the complex objects and to analyze 3-dimensional CFD around them.