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Color-invariant three-dimensional feature descriptor for color-shift-model-based image processing

机译:用于基于色移模型的图像处理的颜色不变三维特征描述符

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摘要

We present a novel color-invariant depth feature descriptor for color-shift-model (CSM)-based image processing. Color images acquired by a single camera equipped with multiple color-filter aperture (MCA) contain depth-dependent color misalignment. The amount and direction of the misalignment provides object's distance from the camera. The CSM-based image processing, which represents the combined image-acquisition and depth-estimation framework, requires a color-invariant feature descriptor that can convey depth information. For improving depth-estimation performance, color boosting is performed on a color image acquired by the MCA camera, and CSM-based channel-shifting descriptor vectors, or channel-shifting vectors (CSVs), are generated by using the feasibility test. Color-invariant features are also extracted in the luminance image. The proposed color-invariant three-dimensional (3-D) feature descriptor is finally obtained by combining the CSVs and luminance features. We present experimental analysis of the proposed feature descriptor and show that the descriptors are proportional to the depth of an object. The proposed descriptor can be used for feature-based image matching in various applications, including 3-D scene modeling, 3-D object recognition, 3-D video tracking, and multifocusing, to name a few.
机译:我们为基于色移模型(CSM)的图像处理提出了一种新颖的颜色不变深度特征描述符。由配备有多个滤色镜光圈(MCA)的单台摄像机获取的彩色图像包含与深度有关的颜色偏移。未对准的程度和方向提供了物体与相机的距离。基于CSM的图像处理代表组合的图像获取和深度估计框架,需要可传递深度信息的颜色不变特征描述符。为了提高深度估计性能,对通过MCA相机获取的彩色图像进行色彩增强,并通过可行性测试生成基于CSM的频道移动描述符矢量或频道移动矢量(CSV)。颜色不变特征也被提取在亮度图像中。通过结合CSV和亮度特征,最终获得了所提出的颜色不变的三维(3-D)特征描述符。我们目前提出的特征描述符的实验分析,并表明描述符与对象的深度成正比。所提出的描述符可用于各种应用中的基于特征的图像匹配,包括3-D场景建模,3-D对象识别,3-D视频跟踪和多聚焦等。

著录项

  • 来源
    《Optical engineering》 |2011年第11期|p.117005.1-117005.7|共7页
  • 作者

    Joohyun Lim; Joonki Paik;

  • 作者单位

    Chung-Ang University Graduate School of Advanced Imaging Science Multimedia, and Film Department of Image Engineering Image Processing and Intelligent Systems Laboratory 221, Heukseok-dong, Dongjak-gu Seoul 156-756, Republic of Korea;

    Chung-Ang University Graduate School of Advanced Imaging Science Multimedia, and Film Department of Image Engineering Image Processing and Intelligent Systems Laboratory 221, Heukseok-dong, Dongjak-gu Seoul 156-756, Republic of Korea;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    multiple color-filter aperture: color-shift model; image descriptors;

    机译:多个滤色镜孔径:变色模型;图像描述符;

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