• Title/Summary/Keyword: 3D 맵

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Convert 2D Video Frames into 3D Video Frames (2차원 동영상의 3차원 동영상 변화)

  • Lee, Hee-Man
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.6
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    • pp.117-123
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    • 2009
  • In this paper, An algorithm which converts 2D video frames into 3D video frames of parallel looking stereo camea is proposed. The proposed algorithm finds the disparity information between two consecutive video frames and generates 3D video frames from the obtained disparity maps. The disparity information is obtained from the modified iterative convergence algorithm. The method of generating 3D video frames from the disparity information is also proposed. The proposed algorithm uses coherence method which overcomes the video pattern based algorithms.

Personalized Tour Guide Generation Techniques in 3D Virtual Environment (3D 가상환경에서 개인화된 투어 가이드 생성 기법)

  • Song, T.S.;Kim, H.K.;Choy, Y.C.;Lim, S.B.;Choi, B.K.;Suh, E.H.
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.10b
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    • pp.111-115
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    • 2006
  • 가상환경 탐색 항해 기법을 설계했다 3차원 가상환경은 입체적 시각 정보를 통해서 사용자가 가상환경을 현실로 받아들이고 마치 현장에 위치해 있는 것과 같은 감각을 느끼게 한다. 이러한 감각에 의지해서 사용자는 진지하고도 적극적으로 가상환경에 참여할 수 있다. 3차원 가상환경이 지닌 이러한 장점은 오락프로그램의 흥미 증진, 교육 및 군사훈련의 효과 향상, 의료분야의 신기술개발 등 다양한 분야에서 활용되고 있다. 그러나 3차원 가상환경은 현실 세계에 비해 빈약한 공간 인지 정보로 인해 자신의 위치를 인지하기 못하거나 원하는 목표물을 찾는데 어려움이 있다. 따라서 본 연구 에서는 가상환경을 구성하는 물리적인 정보와 가상환경의 외부 정보를 토픽맵(Topic Map)에서 제시 하는 기법을 사용하여 공간 인지 지식을 모델링 하였고, 현실세계에서 인간의 두뇌에서 이루어 지는 과정과 유사하게 3차원 가상환경 내에서도 길찾기기 가능하도록 인지맵(cognitive map)기법을 적용하여 처음 가상환경에 방문한 사용자라도 쉽게 목표물에 접근할 수 있는 개인화된 투어가이드 기법을 개발 하였다.

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Development of Shift Map for TMED Type DCT PHEV in Charge Sustaining Mode considering Transmission and Motor Losses (변속기 및 모터 손실을 고려한 TMED Type DCT PHEV의 CS 모드 주행 시 변속맵 개발)

  • Jeon, Sungbae;Bae, Kyunggook;Wi, Junbeom;Namkoong, Choul;Goo, Changgi;Lee, Ji-suk;Hwang, Sung-Ho;Kim, Hyunsoo
    • Transactions of the Korean Society of Automotive Engineers
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    • v.25 no.3
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    • pp.367-373
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    • 2017
  • In this paper, a new shift map was proposed to improve the fuel economy of a transmission mounted electric device(TMED) type dual clutch transmission(DCT) plug-in hybrid electric vehicle(PHEV) by considering transmission and motor losses. To construct the shift map, powertrain efficiencies of the engine-DCT-motor were obtained at each gear step. A shift map that provides the highest powertrain efficiency was constructed for the given wheel torque and vehicle speed. Simulation results showed that the fuel economy of the target PHEV can be improved by the new shift map compared with the existing engine optimal operating line(OOL) shift control.

Face Muscle Modeling and Application Method using Bitmap Form (비트맵 형식을 이용한 얼굴 근육 모델링 및 적용방법)

  • Lee, Dong-Gyo;Jeong, Mun-Yeol;Baek, Du-Won
    • Journal of the Korea Computer Graphics Society
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    • v.8 no.4
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    • pp.17-25
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    • 2002
  • In this paper we propose a new efficient muscle modeling for creating 3d facial models. It improves the existing muscle-based facial modeling method. We present the facial muscle action prediction map as a new method of muscle modeling. We also suggest a new face deformation method that improves the existing method which controls each muscle's condition separately.

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(Turbo Decoder Design with Sliding Window Log Map for 3G W-CDMA) (3세대 이동통신에 적합한 슬라이딩 윈도우 로그 맵 터보 디코더 설계)

  • Park, Tae-Gen;Kim, Ki-Hwan
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.42 no.9 s.339
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    • pp.73-80
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    • 2005
  • The Turbo decoders based on Log-MAP decoding algorithm inherently requires large amount of memory and intensive complexity of hardware due to iterative decoding, despite of excellent decoding efficiency. To decrease the large amount of memory and reduce hardware complexity, the result of previous research. And this paper design the Turbo decoder applicable to the 3G W-CDMA systems. Through the result of previous research, we decided 5-bits for the received data 6-bits for a priori information, and 7-bits for the quantization state metrics. The error correction term for $MAX^{*}$ operation which is the main function of Log-MAP decoding algorithm is implemented with very small hardware overhead. The proposed Turbo decoder is synthesized in $0.35\mu$m Hynix CMOS technology. The synthesized result for the Turbo decoder shows that it supports a maximum 9Mbps data rate, and a BER of $10^{-6}$ is achieved(Eb/No=1.0dB, 5 iterations, and the interleaver size $\geq$ 2000).

1D FN-MLCA and 3D Chaotic Cat Map Based Color Image Encryption (1차원 FN-MLCA와 3차원 카오틱 캣 맵 기반의 컬러 이미지 암호화)

  • Choi, Un Sook
    • Journal of Korea Multimedia Society
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    • v.24 no.3
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    • pp.406-415
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    • 2021
  • The worldwide spread of the Internet and the digital information revolution have resulted in a rapid increase in the use and transmission of multimedia information due to the rapid development of communication technologies. It is important to protect images in order to prevent problems such as piracy and illegal distribution. To solve this problem, I propose a new digital color image encryption algorithm in this paper. I design a new pseudo-random number generator based on 1D five-neighborhood maximum length cellular automata (FN-MLCA) to change the pixel values of the plain image into unpredictable values. And then I use a 3D chaotic cat map to effectively shuffle the positions of the image pixel. In this paper, I propose a method to construct a new MLCA by modeling 1D FN-MLCA. This result is an extension of 1D 3-neighborhood CA and shows that more 1D MLCAs can be synthesized. The safety of the proposed algorithm is verified through various statistical analyses.

3D Stereoscopic Image Generation of a 2D Medical Image (2D 의료영상의 3차원 입체영상 생성)

  • Kim, Man-Bae;Jang, Seong-Eun;Lee, Woo-Keun;Choi, Chang-Yeol
    • Journal of Broadcast Engineering
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    • v.15 no.6
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    • pp.723-730
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    • 2010
  • Recently, diverse 3D image processing technologies have been applied in industries. Among them, stereoscopic conversion is a technology to generate a stereoscopic image from a conventional 2D image. The technology can be applied to movie and broadcasting contents and the viewer can watch 3D stereoscopic contents. Further the stereoscopic conversion is required to be applied to other fields. Following such trend, the aim of this paper is to apply the stereoscopic conversion to medical fields. The medical images can deliver more detailed 3D information with a stereoscopic image compared with a 2D plane image. This paper presents a novel methodology for converting a 2D medical image into a 3D stereoscopic image. For this, mean shift segmentation, edge detection, intensity analysis, etc are utilized to generate a final depth map. From an image and the depth map, left and right images are constructed. In the experiment, the proposed method is performed on a medical image such as CT (Computed Tomograpy). The stereoscopic image displayed on a 3D monitor shows a satisfactory performance.

3D Simulation of Thin Film using Contour Analysis of Interference Fringe Image and Interpolation Method (간섭무늬 영상 등고선 해석과 보간법을 이용한 박막의 삼차원 정보 형상화)

  • Kim, Jin-Hyoung;Ko, Yun-Ho
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.49 no.2
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    • pp.8-17
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    • 2012
  • In this paper we proposes a new framework to obtain 3D shape information of thin film rapidly. The conventional equipments based on reflectometry are not suitable for obtaining 3D overall shape information of thin film rapidly since they require more than 30 minutes to measure the absolute thickness for 170 points. The proposed framework is based on an image analysis method that extracts contour lines from interference fringes images using Canny edge detector. The absolute thickness for contour lines are measured and then a height map from the contour lines is obtained by interpolation using Borgefors distance transformation. The extracted height map is visualized using the DirectX 3D terrain rendering method. The proposed framework can provide 3D overall shape information of thin film in about 5 minutes since relatively small number of real measurement for contour lines is required.

Rendering Performance Evaluation of 3D Games with Interior Mapping (Interior Mapping이 적용된 3D 게임의 렌더링 성능 평가)

  • Lee, Jae-Won;Kim, Youngsik
    • Journal of Korea Game Society
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    • v.19 no.6
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    • pp.49-60
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    • 2019
  • Interior Mapping has been used to reduce graphics resources. In this paper, rendering speed(FPS), the number of polygons, shader complexity and each resource size of Interior Mapping were compared to those of actual modeling in order to examine the performance of 3D games when the technology is adapted by utilizing Unreal Engine 4. In addition, for the efficient application, the difference in performance according to the resolution and detail of cube map texture was verified.

Depth Upsampling Method Using Total Generalized Variation (일반적 총변이를 이용한 깊이맵 업샘플링 방법)

  • Hong, Su-Min;Ho, Yo-Sung
    • Journal of Broadcast Engineering
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    • v.21 no.6
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    • pp.957-964
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    • 2016
  • Acquisition of reliable depth maps is a critical requirement in many applications such as 3D videos and free-viewpoint TV. Depth information can be obtained from the object directly using physical sensors, such as infrared ray (IR) sensors. Recently, Time-of-Flight (ToF) range camera including KINECT depth camera became popular alternatives for dense depth sensing. Although ToF cameras can capture depth information for object in real time, but are noisy and subject to low resolutions. Recently, filter-based depth up-sampling algorithms such as joint bilateral upsampling (JBU) and noise-aware filter for depth up-sampling (NAFDU) have been proposed to get high quality depth information. However, these methods often lead to texture copying in the upsampled depth map. To overcome this limitation, we formulate a convex optimization problem using higher order regularization for depth map upsampling. We decrease the texture copying problem of the upsampled depth map by using edge weighting term that chosen by the edge information. Experimental results have shown that our scheme produced more reliable depth maps compared with previous methods.