Image Synthesis from Real and Generated Images by Using A Unified Camera Model
Image Synthesis from Real and Generated Images by Using A Unified Camera Model
批准号:
08680410
负责人:
ASADA Naoki
金额:
$1.6万
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (C)
财政年份:
1996
资助国家:
日本
项目状态:
已结题
起止时间:
1996 至 1998
中文摘要
研究了一种基于摄像机标定的真实的图像和生成图像合成真实感图像的方法.校准计算机图形:本文提出了一种新的图像合成方案--“标定计算机图形学”,并提出了一种基于标定真实的摄像机模型和透镜参数的散焦图像生成方法。利用反投影图像模糊模型,我们开发了一种多Z缓冲算法来生成任意焦距设置的图像。实验验证表明,生成图像的真实感质量与真实的图像相当.图像生成算法的改进:多Z缓冲算法的计算量相当大,因为标准Z缓冲算法应用于要生成的图像的每个像素。我们已经开发了一种多针孔算法,其中图像是通过积累一组移位针孔图像生成的。和讨论 ...更多信息 艾德通过权衡计算时间的减少和图像质量的下降,对两种算法进行了改进.变焦、聚焦和虹膜参数的统一相机模型:我们已经为“校准计算机图形学”提出了变焦、聚焦和虹膜参数的统一相机模型。我们首先讨论了相机参数的属性,并提出了一个基于薄镜头的相机模型,描述了变焦,聚焦和虹膜参数之间的关系。结合标定结果,采用多重Z缓冲算法生成图像,并与同一场景的真实的图像进行比较.变焦透镜系统的光度校正:我们开发了一种变焦透镜系统的校正方法,以消除由于渐晕引起的光度失真。提出了一种包含可变柱面的摄像机模型。对于在图像中观察到的边缘强度降低。提出了一种由变焦和光圈的透镜参数估计光强衰减的标定方法。少
英文摘要
We have investigated a method to synthesize realistic images from real and generated images based on camera calibration.1. Calibrated Computer Graphics : We have proposed a new scheme for image synthesis called "Cali-brated Computer Graphics" and presents a method to produce defocused images based on a camera model and lens parameters obtained by calibrating a real camera. Using the reversed projection image blurring model, we have developed a multiple Z-buffer algorithm to generate images of arbitrary focus settings. Experimental verification demonstrated that the quality of reality of the generated images was as high as that of the real images.2. Improvement of Image Generation Algorithm : The computation of the multiple Z-buffer algorithm is rather heavy because the standard Z-buffer algorithm is applied on every pixel of an image to be generated. We have developed a multiple pinhole algorithm in which images are generated by accumulating a set of shifted pinhole images. and discuss … More ed the improvement of both algorithms by evaluating the trade-off between the reduction of computation time and the degradation of image quality.3. A Unified Camera Model of Zoom, Focus and Iris Parameters : We have proposed a unified camera model of zoom, focus and iris parameters for "Calibrated Computer Graphics". We first discuss the properties of the camera parameters and present a thin-lens-based camera model that describes the relationship between zoom, focus and iris parameters. Using the multiple Z-buffer algorithm with the calibration results, we generated images and compared them with real images of the same scene.4. Photometric Calibration of Zoom Lens Systems : We have developed a calibration method of zoom lens systems to eliminate the photometric distortion due to vignetting. A novel camera model including the variable cylinder is proposed to account. for the marginal intensity reduction observed in images. We presented the calibration method to estimate the intensity reduction from the lens parameters of zoom and iris. Less
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Asada, Naoki: "Edge and Depth from Focus" International Journal of Computer Vision. Vol.26, No.2. 153-163 (1998)
浅田直树:“焦点的边缘和深度”国际计算机视觉杂志。
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通讯作者:
Naoki Asada: "Edge and Depth from Focus" International Journal of Computer Vision. 26・2. 153-163 (1998)
浅田直树:“焦点的边缘和深度”国际计算机视觉杂志 26・2(1998)。
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Baba, Masashi: "Calibrated Computer Graphics : A new approach to image synthesis based on camera calibration" Transactions of Information Processing, Society of Japan. Vol.39, No.7. 2180-2188 (1998)
Baba, Masashi:“校准计算机图形:基于相机校准的图像合成新方法”,日本学会信息处理学报。
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Amano, Akira: "Photometric Calibration of Zoom Lens Systems : Analysis and correction of vignetting distortion by the variable cylinder model" Transactions of Institute of Electronics, Information and Communication Engineers D-II. Vol.J80-D-II, No.6. 1458
Amano, Akira:“变焦镜头系统的光度校准:可变柱面模型对渐晕失真的分析和校正”电子、信息和通信工程师协会汇刊 D-II。
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Asada, Naoki: "Seeing Behind the Scene : Analysis of photometric properties of occluding edges by the reversed projection blurring model" IEEE Transactions on Pattern Analysis and Machine Intelligence. Vol.20, No.2. 155-167 (1998)
Asada、Naoki:“了解幕后:通过反向投影模糊模型分析遮挡边缘的光度特性”IEEE 模式分析和机器智能汇刊。
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共 7 条
3 Dimensional Shape Recovery from Image Sequences by Non-Linear Optimization
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批准号:16500118
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$2.18万
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财政年份:2004
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负责人:ASADA Naoki
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依托单位:
Stereoscopic Image Synthesis Based On Camera and Eye Calibrations
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批准号:12680357
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项目类别:Grant-in-Aid for Scientific Research (C)
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资助金额:$2.37万
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财政年份:2000
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负责人:ASADA Naoki
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依托单位:
Integration Methods for Reliable Information Extraction from Multiple Color Images
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批准号:05680298
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项目类别:Grant-in-Aid for General Scientific Research (C)
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资助金额:$1.28万
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财政年份:1993
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负责人:ASADA Naoki
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依托单位:
海外基金