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    Method and adaptively deriving exposure time and frame rate from image motion
    2.
    发明授权
    Method and adaptively deriving exposure time and frame rate from image motion 失效
    方法并自适应地从图像运动中导出曝光时间和帧率

    公开(公告)号：US06891570B2

    公开(公告)日：2005-05-10

    申请号：US09773299

    申请日：2001-01-31

    申请人： Theodore A. Tantalo ,  Robert A. Fiete ,  Frederick J. Warner

    发明人： Theodore A. Tantalo ,  Robert A. Fiete ,  Frederick J. Warner

    IPC分类号： H04N5/235 ,  G06K9/00 ,  G06T13/00 ,  H04N5/225 ,  H04N9/64

    CPC分类号： H04N5/2351 ,  H04N5/2353

    摘要： In a method for determining the frame rate and exposure time for each frame of a video collection, an image capture system acquires at least two successive frames of a scene, separated in time. The two images are compared to determine if objects in the scene are in motion. If motion is detected, then the speed and displacement of the objects that are moving is determined. If the speed of the fastest moving object creates an unacceptable amount of image displacement, then the frame rate for the next frame is changed to one that produces an acceptable amount of image displacement. Also, if the speed of the fastest moving object creates an unacceptable amount of motion blur, then the exposure time for the next frame is changed to one that produces an acceptable amount of motion blur.

    摘要翻译： 在用于确定视频集合的每个帧的帧速率和曝光时间的方法中，图像捕获系统获取在时间上分离的场景的至少两个连续帧。 比较两个图像以确定场景中的物体是否运动。 如果检测到运动，则确定正在移动的物体的速度和位移。 如果最快移动物体的速度产生不可接受的图像位移量，则下一帧的帧速率被改变为产生可接受的图像位移量。 此外，如果最快移动物体的速度产生不可接受的运动模糊量，则将下一帧的曝光时间改变为产生可接受的运动模糊量的曝光时间。

    System and method for hyper-spectral analysis
    7.
    发明授权
    System and method for hyper-spectral analysis 失效
    超光谱分析的系统和方法

    公开(公告)号：US07219086B2

    公开(公告)日：2007-05-15

    申请号：US11075257

    申请日：2005-03-07

    申请人： Frank Geshwind ,  Ronald R. Coifman ,  Andreas Coppi ,  Gustave L. Davis ,  Richard A. Deverse ,  William G. Fateley ,  Frederick J. Warner

    发明人： Frank Geshwind ,  Ronald R. Coifman ,  Andreas Coppi ,  Gustave L. Davis ,  Richard A. Deverse ,  William G. Fateley ,  Frederick J. Warner

    IPC分类号： G06N5/00

    CPC分类号： G06K9/4652 ,  G01J3/02 ,  G01J3/0208 ,  G01J3/021 ,  G01J3/0218 ,  G01J3/10 ,  G01J3/28 ,  G01J3/2823 ,  G01J3/36 ,  G06K9/0063

    摘要： A hyper-spectral analysis method for characterizing or distinguishing diverse elements within hyper-spectral images. A plurality of patches of pixels from within the hyper-spectral images are extracted as being patches around pixels of the elements to be characterized or distinguished. The statistics of spectra for each patch of pixels are computed. A first classifier is computed from frequency-wise standard deviation of the spectra in each patch and a set of second classifiers are computed from principal components of the spectral in each patch. A combined classifier is computed based on the output of the first classifier and at least one of the second classifiers. The elements are characterized or distinguished based on the output of at least one of the classifiers, preferably the combined classifier.

    摘要翻译： 用于表征或区分超光谱图像中不同元素的超光谱分析方法。 从超光谱图像内的多个像素块被提取为待表征或区分的元素的像素周围的斑块。 计算每个像素块的光谱统计。 第一分类器是从每个贴片中的频谱的逐频标准偏差计算的，并且一组第二分类器是根据每个贴片中的光谱的主分量计算的。 基于第一分类器的输出和至少一个第二分类器来计算组合分类器。 基于至少一个分类器的输出来表征或区分元素，优选地是组合分类器。