• Title/Summary/Keyword: Specular Reflection

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Separation of Diffuse and Specular Reflection for Image-Based Relighting (영상기반 재조명을 위한 전반사와 난반사 성분의 분리)

  • Lee Byoung-Hwa;Park Jong-Il;Lee Sang Hwa
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2003.11a
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    • pp.37-42
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    • 2003
  • 전반사는 물체의 사실적인 모습을 나타내는데 중요한 요소이지만 컴퓨터 비전에서는 처리하기 어려운 장애 요소이다. 본 논문에서는 영상기반 재조명을 위하여 조명 조건이 다른 복수의 영상으로부터 전반사 성분과 난반사 성분을 분리하는 효과적인 알고리즘을 제안한다. 이 알고리즘은 전반사 성분이 존재하는 영상과 난반사 성분만이 존재하는 영상에 대하여 난반사 성분의 RGB 값은 서희 비율을 유지하면서 변한다는 성질을 이용하여 전반사 성분을 분리한다. 그리고 실험을 통하여 이 알고리즘의 유효성을 확인하였다.

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Numerical analysis of acoustic field inside sonar dome by using a beam tracing method and the theory of elastic wave propagation (빔 추적기법과 다층구조에서의 탄성파 전파이론을 적용한 소나돔 내부 음장 수치해석)

  • Han, Seung-Jin
    • Journal of the Korea Institute of Military Science and Technology
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    • v.9 no.2 s.25
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    • pp.26-33
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    • 2006
  • A sonar dome is basically designed and installed to protect sonar array from shocks, sea wave slaps and floating matters. The acoustic wave passing through sonar dome, however, can be distorted in magnitude and phase. This paper presents a numerical method for predicting the steady-state sound pressure on the surface of transducer array in the sonar dome and typical results of sonar beam pattern affected by sonar dome. A beam tracing model with phase information and a multi-layered elastic boundary model are involved. A full three-dimensional sonar dome is modeled as a GRP acoustic window, a rubber coated steel baffle and a rubber coated steel hull. A transducer array is modeled as thick steel cylinder. There are some assumptions such as incidence of plane wave, specular reflection on boundary and directionality of transducer element.

Design of Ultrasonic Sensor Based Obstacle Recognition Mobile Robot (초음파 센서 기반 장애물 인지 이동 로봇 설계)

  • Moon, Inseok;Hong, Won-Kee;Ryu, Juang-Tak
    • IEMEK Journal of Embedded Systems and Applications
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    • v.6 no.5
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    • pp.327-333
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    • 2011
  • Intelligent robots are widely needed in various areas of industry from extremely dangerous environments to service tasks. For autonomous mobile robots, it is significant to move itself safely to a destination point, recognizing its surroundings. Advances in sensor technology and its applications are achieved in order to develop an intelligent robot. In this paper, a mobile robot with a path-finding algorithm is presented. The path-finding algorithm is the one that does not only find a path to designated destination and also recognizes obstacles on the way, calculating its distance. 10 ultrasonic sensor are mounted on the front and rear of the mobile robot to figure out its position. Specular reflection and wide viewing angle, which are inherent characteristics of ultrasonic waves, cause errors in measuring distance.

Modeling of Sand Blasting Process for Anti-Glare Surface Treatment of Display Glass (디스플레이 유리의 눈부심 방지 표면처리를 위한 샌드 블래스팅 공정의 모형화)

  • Min, Chul Hong;Kim, Tae Seon
    • Journal of Surface Science and Engineering
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    • v.51 no.5
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    • pp.303-308
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    • 2018
  • Currently hydrofluoric acid (HF) based glass etch method is widely used for anti-glare (AG) surface treatment since it can effectively alleviate the specular reflection problem with relatively low processing cost. However, due to the environmental regulation and safety problem, it is essential to develop alternative technology to replace this method. For this, in this paper, we propose sand blasting based AG surface treatment method for display glass. To characterize the sand blasting process, surface roughness, haze, surface durability, and flatness are considered as process outputs and central composite design (CCD) method and response surface model (RSM) method are applied to model each process output. Models for surface roughness and haze showed 96.44% and 97.24% of R-squared values, respectively and they can be applied to optimize AG surface treatment process for various haze level requirements of display industries.

A Study of Epitaxial Growth on the Clean and Surfactant (Sn) Adsorbed Surface of Ge(111) (계면금속(Sn)이 흡착된 Ge(111)표면에서의 Ge의 층상성장에 대한 연구)

  • 곽호원
    • Journal of the Korean Vacuum Society
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    • v.7 no.2
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    • pp.77-81
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    • 1998
  • The eptiaxial growth of Ge on the clean and surfactant (Sn) adsorbed surface of Ge(111) was studied by the intensity oscillation of a RHEED specular spot. In the case of epitaxial growth without the adsorbed surfactant, the RHEED intensity oscillation was stable and periodic up to 24 ML at the substrate temperature of $200^{\circ}C$. Therefore the optimum temperature for the epitaxial growth of Ge on clean Ge(111) seems to be $200^{\circ}C$. However, in the case of epitaxial growth with the adsorbed surfactant, the irregular oscillations are observed in the early stage of the growth. The RHEED intensity osicillation was very stable and periodic up to 38 ML, and the d2$\times$2 structure was not charged with continued adsorption of Ge at the substrate temperature of 2002$\times$2. These results may be explained by the fact that the diffusion length of Ge atoms is increased by decreasing the activation energy of the Ge surface diffusion, resulted by segregation of Sn toward the growing surface.

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Eyelid Detection Algorithm Based on Parabolic Hough Transform for Iris Recognition (홍채 인식을 위한 포물 허프 변환 기반 눈꺼풀 영역 검출 알고리즘)

  • Jang, Young-Kyoon;Kang, Byung-Jun;Park, Kang-Ryoung
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.44 no.1
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    • pp.94-104
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    • 2007
  • Iris recognition is biometric technology which uses a unique iris pattern of user in order to identify person. In the captured iris image by conventional iris recognition camera, it is often the case with eyelid occlusion, which covers iris information. The eyelids are unnecessary information that causes bad recognition performance, so this paper proposes robust algorithm in order to detect eyelid. This research has following three advantages compared to previous works. First, we remove the detected eyelash and specular reflection by linear interpolation method because they act as noise factors when locating eyelid. Second, we detect the candidate points of eyelid by using mask in limited eyelid searching area, which is determined by searching the cross position of eyelid and the outer boundary of iris. And our proposed algorithm detects eyelid by using parabolic hough transform based on the detected candidate points. Third, there have been many researches to detect eyelid, but they did not consider the rotation of eyelid in an iris image. Whereas, we consider the rotation factor in parabolic hough transform to overcome such problem. We tested our algorithm with CASIA Database. As the experimental results, the detection accuracy were 90.82% and 96.47% in case of detecting upper and lower eyelid, respectively.

The Dependences of Magnetoresistance and Exchange Biasing on Annealing temperature in Top and Bottom Type Specular Spin Valves with Nano-oxide Layers (나노 옥사이드 층을 가진 스펙큘라 스핀밸브의 자기저항 특성 및 교환바이어스의 열처리 온도 의존성)

  • Jang, S.H.;Kang, T.;Kim, H.J.;Kim, K.Y.
    • Journal of the Korean Magnetics Society
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    • v.12 no.3
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    • pp.103-108
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    • 2002
  • We investigated magnetoresistance(MR) and exchange bias properties by annealing in top and bosom type spin valves (SV) with nano-oxide layers (NOL). In top SVs with NOL, MR ratio of 9.2% is obtained after postdeposition annealing at 250$\^{C}$. In bottom SVs with NOL, MR ratio of 10.1 % is obtained after postdeposition annealing at 250$\^{C}$. Therefore, specular reflection of the NOL in bottom SVs is higher than that of the NOL in top SVs. Exchange biasing of bottom SVs with NOL is 28% higher than that of bottom SVs without NOL after annealing. This enhancement of exchange biasing is thought to be due to the reduced magnetic moment of the pinned layer with NOL and enhanced (111) FeMn texture.

Color Restoration Method Using the Dichromatic Reflection Model for Low-light-level Environments (저조도 환경에 적합한 이색도 반사 모델을 이용한 색 복원 기법)

  • Lee, Woo-Ram;Jun, WooKyoung;Jun, Byoung-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.15 no.12
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    • pp.7324-7330
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    • 2014
  • Color distortion of the dark images acquired under a low-light-level environment with a weak light source can be cause of the performance decreation of various vision systems. Therefore, recovering the original color of the images is an important process for enhancing the performance of the system. For this, this study proposes a color restoration method using a dichromatic reflection model. This paper assumes that the dark images can be classified into two parts affected by specular or diffuse reflection. Two different color constancy methods were then applied to the images to remove the effects of each reflection and two images were created as a result. The resulting images produced a one color-corrected image by combining with different weights according to the position in the images. For the performance evaluation, this paper used a synthesized image, and considered the Euclidean distance and angular error as an evaluation factor. In addition, a performance comparison was performed with the existing various color constancy method to achieve the objectivity of evaluation. The experimental results showed that the proposed method can be a more suitable solution for color restoration than the existing method.

3D Shape Reconstruction of Non-Lambertian Surface (Non-Lambertian면의 형상복원)

  • 김태은;이말례
    • Journal of Korea Multimedia Society
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    • v.1 no.1
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    • pp.26-36
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    • 1998
  • It is very important study field in computer vision 'How we obtain 3D information from 2D image'. For this purpose, we must know position of camera, direction of light source, and surface reflectance property before we take the image, which are intrinsic information of the object in the scene. Among them, surface reflectance property presents very important clues. Most previous researches assume that objects have only Lambertian reflectance, but many real world objects have Non-Lambertian reflectance property. In this paper the new method for analyzing the properties of surface reflectance and reconstructing the shape of object through estimation of reflectance parameters is proposed. We have interest in Non-Lambertian reflectance surface that has specular reflection and diffuse reflection which can be explained by Torrance-Sparrow model. Photometric matching method proposed in this paper is robust method because it match reference image and object image considering the neighbor brightness distribution. Also in this thesis, the neural network based shaped reconstruction method is proposed, which can be performed in the absence of reflectance information. When brightness obtained by each light is inputted, neural network is trained by surface normal and can determine the surface shape of object.

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Inspection method of BGA Ball Using 5-step Ring Illumination (5층 링 조명에 의한 BGA 볼의 검사 방법)

  • Kim, Jong Hyeong;Nguyen, Chanh D.Tr.
    • Journal of Institute of Control, Robotics and Systems
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    • v.21 no.12
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    • pp.1115-1121
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    • 2015
  • Fast inspection of solder ball bumps in ball grid array (BGA) is an important issue in the flip chip bonding technology. Particularly, semiconductor industry has required faster and more accurate inspection of micron-size solder bumps in flip chip bonding, as the density of balls increase dramatically. In this paper, we describe an inspection approach of BGA balls by using 5-step ring illumination device and normalized cross-correlation (NCC) method. The images of BGA ball by the illumination device show unique and distinguishable characteristic contours by their 3-D shapes, which are called as "iso-slope contours". Template images of reference ball samples can be produced artificially by the hybrid reflectance model and 3D data of balls. NCC values between test and template samples are very robust and reliable under well-structured condition. The 200 samples on real wafer are tested and show good practical feasibility of the proposed method.