Stereo Image Composition Using Stripe Background Chroma Key

使用条纹背景色度键的立体图像合成

基本信息

  • 批准号:
    17500067
  • 负责人:
  • 金额:
    $ 2.3万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2005
  • 资助国家:
    日本
  • 起止时间:
    2005 至 2006
  • 项目状态:
    已结题

项目摘要

1. Object extraction from images captured with a stripe background: A method for object extraction was constructed to create a composite of two images, one is that of objects taken at a studio, and the other is that of a background scene taken at another place and time. The method uses a two-tone stripe screen to solve the problem that conventional chroma key cannot extract an object whose color is the same as the background screen2. Improvement of contour extraction : A technique of active contours (Snakes) is employed to make the extraction results given by stripe chroma key more precise.3. Object extraction from images captured with a checker pattern background: A stripe background has a directionality which makes it impossible to extract contours in the same direction as the stripes. In order to solve this problem, we proposed a method using a checker pattern background which has both horizontal and vertical edges..4. Improvement of image composition: A method for determining the so-called alpha value was constructed because a composite image quality depends on the alpha value which is a measure of the ratio of mixture of the foreground and background pixel values on the boundaries of foreground object contours.5. Calculation of geometrical relation for image composition: Ignorance of relations of positions and scales between foreground objects and backgrounds gives unnatural composite images. Therefore, a method for obtaining geometrical information of foreground objects was investigated by employing 3-dimensional measurement system based on stereo vision.Experiment of stereo image composition: The validity of the proposed method for object extraction and compositing was confirmed by experiment with many foreground images.
1.从条纹背景捕获的图像中提取对象:构建了一种对象提取方法,以创建两个图像的合成,一个是在工作室拍摄的对象,另一个是在另一个地点和时间拍摄的背景场景。该方法采用双色调条纹屏幕,解决了传统色键无法提取与背景屏幕颜色相同的对象的问题。轮廓提取的改进:采用了主动轮廓技术(Snakes),使条纹色键的提取结果更加精确.从以棋盘格图案背景捕获的图像中提取对象:条纹背景具有方向性,这使得不可能在与条纹相同的方向上提取轮廓。为了解决这个问题,我们提出了一种方法,使用一个棋盘格图案的背景,其中有水平和垂直边缘。4.图像合成的改进:构造了用于确定所谓的阿尔法值的方法,因为合成图像质量取决于阿尔法值,阿尔法值是前景对象轮廓的边界上的前景像素值和背景像素值的混合比率的度量。图像合成的几何关系计算:忽略前景对象和背景之间的位置和比例关系会产生不自然的合成图像。为此,研究了一种基于立体视觉的三维测量系统获取前景物体几何信息的方法。立体图像合成实验:通过对多幅前景图像的实验,验证了本文提出的目标提取与合成方法的有效性。

项目成果

期刊论文数量(6)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Stripe Chromakey Using Active Contour Models
使用主动轮廓模型的条纹色度
  • DOI:
  • 发表时间:
    2007
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A.Yamashita;H.Agata;T.Kaneko
  • 通讯作者:
    T.Kaneko
動的輪郭モデルを用いたストライプ状クロマキー
使用动态轮廓模型的条纹色度键
Chroma key using a checker pattern background
動的輪郭モデルを用いたストライブ状クロマキー
使用动态轮廓模型的条纹色度
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KANEKO Toru其他文献

KANEKO Toru的其他文献

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{{ truncateString('KANEKO Toru', 18)}}的其他基金

Computer Vision for Assisting Visually Impaired People
计算机视觉帮助视障人士
  • 批准号:
    21500164
  • 财政年份:
    2009
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
A study of visual expressions in School Art Textbooks : Primary School Textbooks in Spain as a clue
学校美术教科书视觉表达研究——以西班牙小学教科书为线索
  • 批准号:
    20402063
  • 财政年份:
    2008
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Aquatic Image Sensing Considering Properties of Light Propagation
考虑光传播特性的水生图像传感
  • 批准号:
    19560422
  • 财政年份:
    2007
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Sensing of Objects in Water by Computer Vision Techniques
通过计算机视觉技术感知水中的物体
  • 批准号:
    14550416
  • 财政年份:
    2002
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
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