• Journal of Information Display
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• 제10권1호
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• pp.1-5
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• 2009

A novel computational integral imaging technique with enhanced depth sensitivity is proposed. For each lateral position at a given depth plane, the dissimilarity between corresponding pixels of the elemental images is measured and used as a suppressing factor for that position. The intensity values are aggregated to determine the correct depth plane of each plane object. The experimental and simulation results show that the reconstructed depth image on the incorrect depth plane is effectively suppressed, and that the depth image on the correct depth plane is reconstructed clearly without any noise. The correct depth plane is also exactly determined.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2009년도 9th International Meeting on Information Display
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• pp.1334-1337
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• 2009

The human vision system has visual functions for viewing 3D images with a correct depth. These functions are called accommodation, vergence and binocular stereopsis. Most 3D display system utilizes binocular stereopsis. The authors have developed a monocular 3D vision system with accommodation mechanism, which is useful function for perceiving depth.

• 한국방송∙미디어공학회:학술대회논문집
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• 한국방송공학회 2009년도 IWAIT
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• pp.368-372
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• 2009

Pin-hole model has been widely used as a robust tool for easily understanding how to obtain a stereo image and how to present the depth-cue to an observer in stereoscopy. However, most of the processes to analyze depth cue in stereoscopy are performed that a stereo image is taken by camera model practically but depth cue of the image is analyzed by pin-hole model. Therefore, the result of depth cues by the process to be uncorrected. The reason of the uncorrected depth cue is led to the image distances of camera model due to variable focused object distances, and it makes a depth distortion. In this paper, we tried to show the contradiction such as occurring depth distortion in the process which the pin-hole model is used to analyze depth cue despite practical camera model is used in stereoscopy, and we presents the method to overcome the contradiction.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 신호처리소사이어티 추계학술대회 논문집
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• pp.171-174
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• 2003

In this paper, we propose the method of stereo images composition using adaptive dense disparity estimation. For the correct composition of stereo image and 3D virtual object, we need correct marker position and depth information. The existing algorithms use position information of markers in stereo images for calculating depth of calibration object. But this depth information may be wrong in case of inaccurate marker tracking. Moreover in occlusion region, we can't know depth of 3D object, so we can't composite stereo images and 3D virtual object. In these reasons, the proposed algorithm uses adaptive dense disparity estimation for calculation of depth. The adaptive dense disparity estimation is the algorithm that use pixel-based disparity estimation and the search range is limited around calibration object.

• 한국멀티미디어학회논문지
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• 제20권4호
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• pp.606-613
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• 2017

When the planar area is captured by the depth camera, the shape of the plane in the captured image has perspective projection distortion according to the position of the camera. We can correct the distorted image by the depth information in the plane in the captured area. Previous depth information based perspective distortion correction methods fail to satisfy the real-time property due to a large amount of computation. In this paper, we propose the method of applying the conversion table selectively by measuring the motion of the plane and performing the correction process by parallel processing for correcting perspective projection distortion. By appling the proposed method, the system for correcting perspective projection distortion correct the distorted image, whose resolution is 640x480, as 22.52ms per frame, so the proposed system satisfies the real-time property.

• 한국산업정보학회논문지
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• 제21권5호
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• pp.11-17
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• 2016

본 논문에서는 평면을 모델링하여 깊이 정보를 보정하고 부호화를 개선하는 방법을 제안한다. 먼저 보정하고자 하는 화소를 중심으로 수평, 수직 방향으로 최소 자승법을 이용하여 평면을 모델링한 후 예측 오차에 근거하여 예측된 평면이 적합한지 판단한다. 그 후 모델링된 평면상의 깊이 화소 값으로 보정한다. 제안된 방법을 통해 평면으로 이루어진 깊이 영상뿐만 아니라 다양한 깊이 정보를 가지는 깊이 영상에 대해서도 보정이 가능하다. 제안된 방법을 적용하여 부호화 성능을 나타내는 엔트로피 척도를 측정한 결과, 부호화 성능이 최대 80.2% 개선된 것을 확인하였다.

• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2008년도 International Meeting on Information Display
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• pp.39-42
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• 2008

We have developed new display techniques that allow presentation of nearly correct focus cues. Using these techniques, we find that stereo vision is faster and more accurate, and that viewers experience less discomfort, when focus cues are consistent with simulated depth.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2001년도 가을 학술발표회 논문집
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• pp.293-298
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• 2001

N-value is usually used to assume the displacement depth of embankment on the soft marine clay. But N-value of the soft marine clay tend to underestimate unlike overestimating of general cases. In general case, if the length of rod is more long then N-value is more large because it is under the influence of energy loss of hammer blow. So it is reasonable to correct N-value down. But in the case of soft marine clay, N-value must not be correct down. Especially to assume the displacement depth of embankment on the soft marine clay, it must be used laboratory test results or CPT, Vane Test than N-value. In this study, it is compared with two field cases that design displacement method of embankment.

• 한국광학회지
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• 제18권4호
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• pp.246-255
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• 2007

부양영상시스템은 광학계를 통하여 입력영상 또는 물체의 상을 표시소자의 최종면으로부터 떨어진 특정 공간 내에 재생하는 장치이다. 재생된 입력영상은 표시소자와 관찰자 사이의 공간상에 위치하며 관찰자에게 가상의 입체효과를 제공한다. 입체부양영상시스템은 입체영상 및 입체상을 입력영상으로 하여 재생된 부양영상 내에 돌출 및 후퇴방향의 입체효과를 부과하여 기존의 입체영상 표시소자보다 효과적인 깊이감을 제공한다. 일반적으로 입체영상으로 쓰이는 입력영상의 크기 및 시차량은 광학계를 통하지 않는 입체영상 표시소자에 최적화되어 있다. 따라서 광학계를 통하여 입체상을 재생할 경우, 관찰자에게 재생된 입력영상의 크기 및 시차량은 광학계의 최종배율에 따라 축소 또는 확대된다. 그러나 관찰자와 디스플레이의 최종 면 사이의 관찰거리는 불변이므로 광학계를 통하여 재생된 입체부양영상은 관찰자에게 최종배율과 다른 깊이감을 제공한다. 본 논문은 삼중 프렌넬 렌즈로 이루어진 광학계에서 입체부양영상용 입력영상의 시차량을 광학계의 최종배율에 비례하도록 보정하고, 관찰자에게 올바른 깊이감을 제공하는 방법 및 결과를 제시하였다. 이 광학계는 부양영상의 부양 심도 및 영상의 질 향상을 위하여 사용되었고, 입력영상으로는 19인치 무안경식 입체영상 표시소자를 통하여 재생된 입체영상이 사용되었다.

• Journal of Multimedia Information System
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• 제4권1호
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• pp.43-50
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• 2017

In this paper, we propose a method which detects the nose and face of certain human by using the depth image. The proposed method has advantages of the low computational complexity and the high accuracy even in dark environment. Also, the detection accuracy of nose and face does not change in various postures. The proposed method first locates the locally protruding part from the depth image of the human body captured through the depth camera, and then confirms the nose through the depth characteristic of the nose and surrounding pixels. After finding the correct pixel of the nose, we determine the region of interest centered on the nose. In this case, the size of the region of interest is variable depending on the depth value of the nose. Then, face region can be found by performing binarization using the depth histogram in the region of interest. The proposed method can detect the nose and the face accurately regardless of the pose or the illumination of the captured area.