Technique of Motion Estimation When Acquiring An Image of A Scene That May Be Illuminated With A Time Varying Luminance
    2.
    发明申请
    Technique of Motion Estimation When Acquiring An Image of A Scene That May Be Illuminated With A Time Varying Luminance 有权
    当获取可能随时间变化的亮度照亮的场景的图像时,运动估计的技术

    公开(公告)号:US20080291288A1

    公开(公告)日:2008-11-27

    申请号:US11754104

    申请日:2007-05-25

    IPC分类号: H04N5/228 H04N5/335

    摘要: In a digital camera or other image acquisition device, motion vectors between successive image frames of an object scene are calculated from normalized values of pixel luminance in order to reduce or eliminate any effects on the motion calculation that might occur when the object scene is illuminated from a time varying source such as a fluorescent lamp. Calculated motion vectors are checked for accuracy by a robustness matrix.

    摘要翻译: 在数码相机或其他图像采集装置中,从像素亮度的归一化值计算对象场景的连续图像帧之间的运动矢量,以便减少或消除当对象场景被照亮时可能发生的对运动计算的任何影响 时变光源,如荧光灯。 通过鲁棒性矩阵检查计算的运动矢量的精度。

    Method, apparatus, and system for reducing blurring in an image
    3.
    发明授权
    Method, apparatus, and system for reducing blurring in an image 有权
    用于减少图像中的模糊的方法,装置和系统

    公开(公告)号:US08098948B1

    公开(公告)日:2012-01-17

    申请号:US12130733

    申请日:2008-05-30

    IPC分类号: G06K9/40

    CPC分类号: H03F3/217

    摘要: A method of processing an image includes obtaining the image; determining a point spread function for the image; applying a filter, based on the point spread function, to at least a portion of the image to form a filtered image; and generating a processed image by blending the filtered image with the image or another filtered image, wherein a first portion of the processed image is generated using a different amount of blending of the filtered image with the image or other filtered image than is used for a second portion of the processed image.

    摘要翻译: 一种处理图像的方法包括获取图像; 确定图像的点扩散函数; 将基于点扩散函数的滤波器应用于图像的至少一部分以形成滤波图像; 以及通过将经滤波的图像与图像或另一滤波图像混合来生成经处理的图像,其中,使用滤波图像与图像或其他滤波图像的混合的不同量来生成处理图像的第一部分,而不是用于 处理图像的第二部分。

    Detecting Objects In An Image Being Acquired By A Digital Camera Or Other Electronic Image Acquisition Device
    4.
    发明申请
    Detecting Objects In An Image Being Acquired By A Digital Camera Or Other Electronic Image Acquisition Device 有权
    检测由数码相机或其他电子图像采集设备获取的图像中的对象

    公开(公告)号:US20090161964A1

    公开(公告)日:2009-06-25

    申请号:US12023877

    申请日:2008-01-31

    IPC分类号: G06K9/46

    摘要: The likelihood of a particular type of object, such as a human face, being present within a digital image, and its location in that image, are determined by comparing the image data within defined windows across the image in sequence with two or more sets of data representing features of the particular type of object. The evaluation of each set of features after the first is preferably performed only on data of those windows that pass the evaluation with respect to the first set of features, thereby quickly narrowing potential target windows that contain at least some portion of the object. Correlation scores are preferably calculated by the use of non-linear interpolation techniques in order to obtain a more refined score. Evaluation of the individual windows also preferably includes maintaining separate feature set data for various positions of the object around one axis and rotating the feature set data with respect to the image data for the individual windows about another axis.

    摘要翻译: 通过将图像中定义的窗口内的图像数据与两个或更多个组合的顺序进行比较来确定特定类型的对象(例如人脸)存在于数字图像内的可能性及其在该图像中的位置 表示特定类型对象的特征的数据。 优选地,对第一组之后的每组特征的评估仅对通过相对于第一组特征的评估的那些窗口的数据执行,从而快速缩小包含对象的至少一部分的潜在目标窗口。 相关分数优选通过使用非线性内插技术来计算,以获得更精细的分数。 各个窗口的评估还优选地包括为围绕一个轴的对象的各种位置维护单独的特征集数据,并且相对于关于另一个轴的各个窗口的图像数据旋转特征集数据。

    Detecting objects in an image being acquired by a digital camera or other electronic image acquisition device
    5.
    发明授权
    Detecting objects in an image being acquired by a digital camera or other electronic image acquisition device 有权
    检测由数码相机或其他电子图像采集装置获取的图像中的对象

    公开(公告)号:US08379922B2

    公开(公告)日:2013-02-19

    申请号:US13099304

    申请日:2011-05-02

    IPC分类号: G06K9/00 H04N5/225 G06K9/68

    摘要: The likelihood of a particular type of object, such as a human face, being present within a digital image, and its location in that image, are determined by comparing the image data within defined windows across the image in sequence with two or more sets of data representing features of the particular type of object. The evaluation of each set of features after the first is preferably performed only on data of those windows that pass the evaluation with respect to the first set of features, thereby quickly narrowing potential target windows that contain at least some portion of the object. Correlation scores are preferably calculated by the use of non-linear interpolation techniques in order to obtain a more refined score. Evaluation of the individual windows also preferably includes maintaining separate feature set data for various positions of the object around one axis and rotating the feature set data with respect to the image data for the individual windows about another axis.

    摘要翻译: 通过将图像中定义的窗口内的图像数据与两个或更多个组合的顺序进行比较来确定特定类型的对象(例如人脸)存在于数字图像内的可能性及其在该图像中的位置 表示特定类型对象的特征的数据。 优选地,对第一组之后的每组特征的评估仅对通过相对于第一组特征的评估的那些窗口的数据执行,从而快速缩小包含对象的至少一部分的潜在目标窗口。 相关分数优选通过使用非线性内插技术来计算,以获得更精细的分数。 各个窗口的评估还优选地包括为围绕一个轴的对象的各种位置维护单独的特征集数据,并且相对于关于另一个轴的各个窗口的图像数据旋转特征集数据。

    Image processing under flickering lighting conditions using estimated illumination parameters
    6.
    发明授权
    Image processing under flickering lighting conditions using estimated illumination parameters 失效
    在使用估计照明参数的闪烁照明条件下进行图像处理

    公开(公告)号:US08194152B2

    公开(公告)日:2012-06-05

    申请号:US12511726

    申请日:2009-07-29

    IPC分类号: H04N9/73 H04N5/217 G06K9/40

    摘要: Methods for estimating illumination parameters under flickering lighting conditions are disclosed. Illumination parameters, such as phase and contrast, of a intensity-varying light source may be estimated by capturing a sequence of video images, either prior to or after a desired still image to be processed. The relative average light intensities of the adjacently-captured images are calculated and used to estimate the illumination parameters applicable to the desired still image. The estimated illumination parameters may be used to calculate the point spread function of a still image for image de-blurring processing. The estimated illumination parameters may also be used to synchronize the exposure timing of a still image to the time when there is the most light, as well as for use in motion estimation during view/video modes.

    摘要翻译: 公开了在闪烁照明条件下估计照明参数的方法。 可以通过在要处理的所需静止图像之前或之后捕获视频图像序列来估计强度变化光源的照明参数,例如相位和对比度。 计算相邻拍摄图像的相对平均光强度并用于估计适用于所需静止图像的照明参数。 可以使用估计的照明参数来计算用于图像去模糊处理的静止图像的点扩散函数。 估计的照明参数也可以用于使静止图像的曝光定时与最亮的时间同步,以及用于在视图/视频模式期间的运动估计。

    DETECTING OBJECTS IN AN IMAGE BEING ACQUIRED BY A DIGITAL CAMERA OR OTHER ELECTRONIC IMAGE ACQUISITION DEVICE
    7.
    发明申请
    DETECTING OBJECTS IN AN IMAGE BEING ACQUIRED BY A DIGITAL CAMERA OR OTHER ELECTRONIC IMAGE ACQUISITION DEVICE 有权
    在数码相机或其他电子图像采集设备获取的图像中检测对象

    公开(公告)号:US20110205387A1

    公开(公告)日:2011-08-25

    申请号:US13099304

    申请日:2011-05-02

    IPC分类号: H04N5/225 G06K9/68

    摘要: The likelihood of a particular type of object, such as a human face, being present within a digital image, and its location in that image, are determined by comparing the image data within defined windows across the image in sequence with two or more sets of data representing features of the particular type of object. The evaluation of each set of features after the first is preferably performed only on data of those windows that pass the evaluation with respect to the first set of features, thereby quickly narrowing potential target windows that contain at least some portion of the object. Correlation scores are preferably calculated by the use of non-linear interpolation techniques in order to obtain a more refined score. Evaluation of the individual windows also preferably includes maintaining separate feature set data for various positions of the object around one axis and rotating the feature set data with respect to the image data for the individual windows about another axis.

    摘要翻译: 通过将图像中定义的窗口内的图像数据与两个或更多个组合的顺序进行比较来确定特定类型的对象(例如人脸)存在于数字图像内的可能性及其在该图像中的位置 表示特定类型对象的特征的数据。 优选地,对第一组之后的每组特征的评估仅对通过相对于第一组特征的评估的那些窗口的数据执行,从而快速缩小包含对象的至少一部分的潜在目标窗口。 相关分数优选通过使用非线性内插技术来计算,以获得更精细的分数。 各个窗口的评估还优选地包括为围绕一个轴的对象的各种位置维护单独的特征集数据,并且相对于关于另一个轴的各个窗口的图像数据旋转特征集数据。

    Image processing under flickering lighting conditions using estimated illumination parameters
    8.
    发明授权
    Image processing under flickering lighting conditions using estimated illumination parameters 失效
    在使用估计照明参数的闪烁照明条件下进行图像处理

    公开(公告)号:US08593541B2

    公开(公告)日:2013-11-26

    申请号:US13410256

    申请日:2012-03-01

    IPC分类号: H04N9/73 H04N5/217 G06K9/40

    摘要: Methods for estimating illumination parameters under flickering lighting conditions are disclosed. Illumination parameters, such as phase and contrast, of a intensity-varying light source may be estimated by capturing a sequence of video images, either prior to or after a desired still image to be processed. The relative average light intensities of the adjacently-captured images are calculated and used to estimate the illumination parameters applicable to the desired still image. The estimated illumination parameters may be used to calculate the point spread function of a still image for image de-blurring processing. The estimated illumination parameters may also be used to synchronize the exposure timing of a still image to the time when there is the most light, as well as for use in motion estimation during view/video modes.

    摘要翻译: 公开了在闪烁照明条件下估计照明参数的方法。 可以通过在要处理的所需静止图像之前或之后捕获视频图像序列来估计强度变化光源的照明参数,例如相位和对比度。 计算相邻拍摄图像的相对平均光强度并用于估计适用于所需静止图像的照明参数。 可以使用估计的照明参数来计算用于图像去模糊处理的静止图像的点扩散函数。 估计的照明参数也可以用于使静止图像的曝光定时与最亮的时间同步,以及用于在视图/视频模式期间的运动估计。

    Exposure control for high dynamic range image capture
    9.
    发明授权
    Exposure control for high dynamic range image capture 失效
    高动态范围图像捕获的曝光控制

    公开(公告)号:US08582001B2

    公开(公告)日:2013-11-12

    申请号:US12756035

    申请日:2010-04-07

    IPC分类号: H04N5/235 G03B7/00

    CPC分类号: H04N5/235 H04N5/3355

    摘要: A device and methods are provided for producing a high dynamic range (HDR) image of a scene are disclosed and claimed. In one embodiment, method includes setting an exposure period of an image sensor of the digital camera and capturing image data based on the exposure period. The method may further include checking the image data to determine whether the number of saturated pixels exceeds a saturation threshold and checking the image data to determine whether the number of cutoff pixels exceeds a cutoff threshold. The method may further include generating a high dynamic range image based on image data captured by the digital camera, wherein the high dynamic range image is generated based on a minimum number of images to capture a full dynamic range of the scene.

    摘要翻译: 提供用于产生场景的高动态范围(HDR)图像的装置和方法被公开和要求保护。 在一个实施例中,方法包括设置数字照相机的图像传感器的曝光周期并且基于曝光周期捕获图像数据。 该方法还可以包括检查图像数据以确定饱和像素的数量是否超过饱和阈值,并且检查图像数据以确定截止像素的数量是否超过截止阈值。 该方法可以进一步包括基于由数字照相机拍摄的图像数据生成高动态范围图像,其中基于最小数量的图像生成高动态范围图像以捕获场景的完整动态范围。

    Method, apparatus, and system for object recognition and classification
    10.
    发明授权
    Method, apparatus, and system for object recognition and classification 有权
    用于对象识别和分类的方法,装置和系统

    公开(公告)号:US08160309B1

    公开(公告)日:2012-04-17

    申请号:US12130704

    申请日:2008-05-30

    IPC分类号: G06K9/00 G06K9/46

    CPC分类号: H03F3/217

    摘要: A method of face recognition includes generating a recognition database for at least one identified face by obtaining multiple images for each identified face; selecting a subset of distinctive features for each identified face from a set of features, where each of the distinctive features in the subset have at least one calculated value representative of that distinctive feature of the identified face that exceeds a threshold level of distinction from at least one corresponding calculated value for a reference set of faces, and, for each identified face, recording in the recognition database the selected subset of distinctive features. To recognize an image of an unidentified face, a comparison metric is calculated for at least one identified face in the recognition database comparing at least a portion of the selected subset of distinctive features of that identified face with corresponding features for the unidentified face. The comparison metric for that identified face is used to determine if there is a correlation between the unidentified face and the identified face.

    摘要翻译: 一种人脸识别方法包括通过为每个识别的脸部获得多个图像来产生至少一个识别的脸部的识别数据库; 从一组特征中为每个识别的面部选择特征特征的子集,其中子集中的每个独特特征具有代表所识别的面部的至少一个阈值水平的至少一个计算值 对于参考组的一个对应的计算值,并且对于每个识别的面部,在识别数据库中记录所选择的特征特征的子集。 为了识别未识别脸部的图像,针对识别数据库中的至少一个识别的脸部计算比较度量,将所识别的脸部的特征特征的所选子集的至少一部分与未识别脸部的相应特征进行比较。 用于确定脸部的比较度量用于确定未识别脸部和识别脸部之间是否存在相关性。