• Communications for Statistical Applications and Methods
• /
• 제10권1호
• /
• pp.167-175
• /
• 2003

In this paper we develop a robust procedure to estimate regression coefficients for a linear model with censored and truncated data based on simplicial regression depth. Simplicial depth of a point is defined as the proportion of data simplices containing it. This simplicial depth can be extended to regression problem with censored and truncated data. Any line can be given a depth and the deepest regression line is the line with the maximum simplicial regression depth. We show how the proposed regression performs through analyzing AIDS incubation data.

• 콘크리트학회논문집
• /
• 제12권5호
• /
• pp.121-130
• /
• 2000

Currently, in evaluating a flexural strength of a concrete member, the effect of specimen depth has not been systematically studied, even though its effect on ultimate strength of a section is very important. For all types of loading conditions, the trend is that the strength of a member tends to decrease when the member depth increases. In this study, the influence of specimen depth on flexural compressive strength of concrete member was examined experimentally. A series of C-shaped specimens subjected to axial compressive force and bending moment were tested using three geometrically similar specimens with different length-to depth ratios (h/c = 1, 2 and 4) which have compressive strength of 55 MPa. The results indicate that the flexural compressive strength decreased as the specimen depth increased. A model equation was derived based on regression analyses of the experimental data. Also, the results show that ultimate strain decreases as the specimen depth increases. Finally, a general model equation for the depth effect is proposed.

• 응용통계연구
• /
• 제20권2호
• /
• pp.313-322
• /
• 2007

오염이 있는 생존자료에서 여러 가지 회귀뎁스(regression depth)를 비교 연구하였다. 중도절단 자료에서 회귀뎁스에 대한 정의는 Park과 Hwang(2003)의 반공간회귀뎁스(halfspace regression depth)와 Park(2003)의 심플리셜 회귀뎁스(simplicial regression depth)가 있다. 본 논문은 Hubert 등(2001)이 제안한 사영회귀뎁스(projection regression depth)를 생존자료에서 사용하는 방법을 제시하고 이 방법과 기존의 뎁스기반 회귀모형과의 비교를 다양한 오염 상황에서 실시하였다.

• Journal of Multimedia Information System
• /
• 제6권4호
• /
• pp.245-250
• /
• 2019

In this paper, we propose an ellipsoid modeling method for coding of a face depth picture. The ellipsoid modeling is firstly based on a point of a nose tip which is defined as the lowest value of the depth in the picture. The proposed ellipsoid representation is simplified through a difference of depth values between in the nose tip and in left or right boundary point of the face. Parameters of the ellipsoid are calculated through coordinates and depth values to minimize differences from the actual depth pixels. A picture is predicted by the modeled ellipsoid for coding of the face depth picture. In simulation results, an average MSEs between the face depth picture and the predicted picture is measured as 20.3.

• Current Optics and Photonics
• /
• 제5권5호
• /
• pp.514-523
• /
• 2021

Methods for absolute depth estimation have received lots of interest, and most algorithms are concerned about how to minimize the difference between an input defocused image and an estimated defocused image. These approaches may increase the complexity of the algorithms to calculate the defocused image from the estimation of the focused image. In this paper, we present a new method to recover depth of scene based on a sharpness-assessment algorithm. The proposed algorithm estimates the depth of scene by calculating the sharpness of deconvolved images with a specific point-spread function (PSF). While most depth estimation studies evaluate depth of the scene only behind a focal plane, the proposed method evaluates a broad depth range both nearer and farther than the focal plane. This is accomplished using an asymmetric aperture, so the PSF at a position nearer than the focal plane is different from that at a position farther than the focal plane. From the image taken with a focal plane of 160 cm, the depth of object over the broad range from 60 to 350 cm is estimated at 10 cm resolution. With an asymmetric aperture, we demonstrate the feasibility of the sharpness-assessment algorithm to recover absolute depth of scene from a single defocused image.

• 방송공학회논문지
• /
• 제13권5호
• /
• pp.596-601
• /
• 2008

본 논문은 저해상도의 깊이 카메라와 고해상도의 양안식 카메라를 결합한 복합형 카메라 시스템에서 관심영역(region of interest, ROI)이 향상된 깊이맵을 생성하는 새로운 방법을 제안한다. 제안하는 방법은 깊이 카메라로 획득한 깊이 정보를 3차원 워핑(warping)하여 좌영상의 ROI 깊이맵을 생성한다. 그런 다음, 양안식 카메라로 획득한 좌우영상의 배경 영역을 스테레오 정합하여 좌영상의 배경 깊이맵을 생성한다. 최종적으로, ROI 깊이맵과 배경 깊이맵을 결합하여 최종 깊이맵을 생성한다. 제안하는 방법으로 생성한 고해상도 깊이맵은 기존의 스테레오 정합 방법보다 ROI에 정확한 깊이 정보를 제공한다.

• 한국통신학회논문지
• /
• 제37C권9호
• /
• pp.751-756
• /
• 2012

본 논문에서는 색상 카메라와 Time-of-Flight (TOF) 깊이 카메라를 이용해 촬영된 장면에서 전경 영역을 분리하고 영상의 고해상도 깊이 정보를 구하는 방법에 대해 제안한다. 깊이 카메라는 장면의 깊이 정보를 실시간으로 측정할 수 있는 장점이 있지만 잡음과 왜곡이 발생하고 색상 영상과의 상관도도 떨어진다. 따라서 이를 색상 영상과 함께 사용하기 위한 색상 영상의 영역화 및 깊이 카메라 영상의 3차원 투영(warping) 작업, 깊이 경계 영역 탐색 등을 진행한 후, 전경의 객체를 분리하고, 객체와 배경에 대하여 깊이 값 계산한다. 깊이 카메라로부터 얻은 초기 깊이 정보를 이용하여 색상 영상에서 구해진 깊이 맵은 기존의 방법인 스테레오 정합 등의 방법보다 우수한 성능을 나타내었고, 무늬가 없는 영역이나 객체 경계 영역에서도 정확한 깊이 정보를 구할 수 있었다.

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

• 한국진공학회지
• /
• 제12권3호
• /
• pp.162-167
• /
• 2003

시료에 주입된 이온의 깊이방향에 따른 농도분포를 알아보기 위하여 시료표면을 sputtering 하면서 튀어나온 주입된 이온을 depth profiling한다. Depth profiling 측정 시에 깊이방향에 영향을 주는 sputtering rate가 변화하는 효과를 SRIM simulation을 이용하여 계산하였다. 시료에 이온이 주입하게 되면 시료의 원자밀도는 약간 증가하게 되는데, 그 결과로 sputtering yield가 변화하게 된다. 이러한 변화가 결과적으로 depth profile 측정시에 깊이방향에 영향을 줄 수 있는 sputtering rate를 변화시키는 원인이 된다. SRIM(Stopping and Range of Ions in Matter) Monte Carlo simulation code를 사용하여 이온주입에 의한 시료의 원자밀도의 변화에 따른 sputtering yield를 구하여 sputtering rate를 계산하고, 그 차이가 depth profiling 측정에서 깊이방향 분포에 영향을 줄 수 있다는 것을 확인하였다.

• International Journal of Contents
• /
• 제10권3호
• /
• pp.9-16
• /
• 2014

Depth-image-based rendering is generally used in real-time 2D-to-3D conversion for 3DTV. However, inaccurate depth maps cause flickering issues between image frames in a video sequence, resulting in eye fatigue while viewing 3DTV. To resolve this flickering issue, we propose a new 2D-to-3D conversion scheme based on fast and robust depth-map generation from a 2D video sequence. The proposed depth-map generation algorithm divides an input video sequence into several cuts using a color histogram. The initial depth of each cut is assigned based on a hypothesized depth-gradient model. The initial depth map of the current frame is refined using color and motion information. Thereafter, the depth map of the next frame is updated using the difference image to reduce depth flickering. The experimental results confirm that the proposed scheme performs real-time 2D-to-3D conversions effectively and reduces human eye fatigue.