METHOD AND APPARATUS FOR FACE TRACKING UTILIZING INTEGRAL GRADIENT PROJECTIONS
    1.
    发明申请
    METHOD AND APPARATUS FOR FACE TRACKING UTILIZING INTEGRAL GRADIENT PROJECTIONS 有权
    用于面部跟踪的方法和装置利用整体梯度投影

    公开(公告)号:US20130004025A1

    公开(公告)日:2013-01-03

    申请号:US13494316

    申请日:2012-06-12

    申请人: Veldandi MUNINDER

    发明人: Veldandi MUNINDER

    IPC分类号: G06K9/00 G06K9/62

    摘要: A method, apparatus and computer program product are provided for estimating and verifying translation motion and/or a scaling factor between face regions in respective frames during face tracking. A method determines translation motion between face regions in two successive frames based upon integral gradient projections of a face region in a first frame and a corresponding window in a second frame. The method also verifies the translation motion between the first and second frames utilizing integral gradient projections. A method also determines a transfer function relating integral projection curves of a face region in a first frame that has a predefined position and a predetermined size and a co-located window of same size in a second frame, determines a scaling factor based upon the transfer function and then verifies the scaling factor utilizing integral gradient projections.

    摘要翻译: 提供了一种方法,装置和计算机程序产品,用于在面部跟踪期间估计和验证翻转运动和/或相应帧中的脸部区域之间的缩放因子。 一种方法基于第一帧中的面部区域和第二帧中的对应窗口的积分梯度投影来确定两个连续帧中的脸部区域之间的平移运动。 该方法还使用积分梯度投影来验证第​​一和第二帧之间的平移运动。 方法还确定在第二帧中具有预定位置和预定尺寸的第一帧中的面部区域的整体投影曲线和相同尺寸的同位置窗口的传递函数,基于该转移确定缩放因子 功能,然后使用积分梯度投影来验证缩放因子。

    Method and apparatus for feature computation and object detection utilizing temporal redundancy between video frames
    2.
    发明授权
    Method and apparatus for feature computation and object detection utilizing temporal redundancy between video frames 有权
    利用视频帧之间的时间冗余的特征计算和对象检测的方法和装置

    公开(公告)号:US09508155B2

    公开(公告)日:2016-11-29

    申请号:US14238814

    申请日:2012-08-02

    申请人: Veldandi Muninder

    发明人: Veldandi Muninder

    IPC分类号: G06T7/20 G06K9/00 G06K9/46

    摘要: A method, apparatus and computer program product are provided for determining spatial location for one or more facial features. A method computes features for an initial frame. The computed features of the initial frame generate a feature image. A method also determines whether a translation is verified between the initial frame and an intermediate frame, wherein a translation is verified in an instance in which a distance used to verify the translation between the initial frame and the intermediate frame is within a predetermined threshold level. A method also includes a face search, using a portion of the feature image, for one or more facial features, wherein the portion of the feature image searched is a fraction of the total number of frames analyzed in a feature computation cycle. A method also determines a spatial location for the one or more facial features detected in the intermediate frame.

    摘要翻译: 提供了一种用于确定一个或多个面部特征的空间位置的方法,装置和计算机程序产品。 一种方法计算初始帧的特征。 计算出的初始帧的特征产生一个特征图像。 方法还确定在初始帧和中间帧之间是否验证转换,其中在用于验证初始帧和中间帧之间的转换的距离在预定阈值水平内的情况下验证转换。 一种方法还包括使用特征图像的一部分的面部搜索用于一个或多个面部特征,其中所搜索的特征图像的部分是在特征计算周期中分析的总帧数的一部分。 方法还确定在中间帧中检测到的一个或多个面部特征的空间位置。

    Method, apparatus and computer program product for generating panorama images
    3.
    发明授权
    Method, apparatus and computer program product for generating panorama images 有权
    用于生成全景图像的方法,装置和计算机程序产品

    公开(公告)号:US09342866B2

    公开(公告)日:2016-05-17

    申请号:US13494230

    申请日:2012-06-12

    IPC分类号: G06K9/36 G06T3/40 H04N5/232

    摘要: In accordance with an example embodiment a method and apparatus is provided. The method comprises facilitating receiving of a first image and a second image. The method also comprises facilitating receiving of location information of a movable object and generating a panorama image based on the first image, the second image and the location information of the movable object.

    摘要翻译: 根据示例性实施例,提供了一种方法和装置。 该方法包括促进接收第一图像和第二图像。 该方法还包括便于接收可移动物体的位置信息,并且基于第一图像,第二图像和可移动物体的位置信息生成全景图像。

    Methods, apparatuses and computer program products for performing accurate pose estimation of objects
    4.
    发明授权
    Methods, apparatuses and computer program products for performing accurate pose estimation of objects 有权
    用于对物体进行精确姿态估计的方法,装置和计算机程序产品

    公开(公告)号:US09251588B2

    公开(公告)日:2016-02-02

    申请号:US14127272

    申请日:2012-05-03

    IPC分类号: G06K9/00 G06T7/00 G06K9/62

    摘要: An apparatus for determining a pose(s) of an object(s) may include a processor and memory storing executable computer code causing the apparatus to at least perform operations including receiving a detected image of at least one face and analyzing the image of the at least one face based on data of at least one model identifying one or more poses. The poses may be related in part to at least one of a position or an orientation of respective faces. The computer program code may further cause the apparatus to determine that the face corresponds to one of the poses based in part on one or more items of data of the image passing criteria identified by the model as corresponding to the pose. Corresponding methods and computer program products are also provided.

    摘要翻译: 用于确定对象的姿态的装置可以包括处理器和存储器,其存储可执行计算机代码,使得该装置至少执行操作,包括接收至少一个脸部的检测到的图像,并且分析该图像的at 基于识别一个或多个姿势的至少一个模型的数据的至少一个面部。 姿态可以部分地与各个面部的位置或取向中的至少一个相关联。 计算机程序代码可以进一步使得设备基于部分地基于由模型识别的图像通过标准与姿态对应的一个或多个数据项来确定脸部对应于姿势之一。 还提供了相应的方法和计算机程序产品。

    Method and apparatus for face tracking utilizing integral gradient projections
    5.
    发明授权
    Method and apparatus for face tracking utilizing integral gradient projections 有权
    利用积分梯度投影进行脸部跟踪的方法和装置

    公开(公告)号:US08873811B2

    公开(公告)日:2014-10-28

    申请号:US13494316

    申请日:2012-06-12

    申请人: Veldandi Muninder

    发明人: Veldandi Muninder

    IPC分类号: G06K9/00 G06K9/46 G06T7/20

    摘要: A method, apparatus and computer program product are provided for estimating and verifying translation motion and/or a scaling factor between face regions in respective frames during face tracking. A method determines translation motion between face regions in two successive frames based upon integral gradient projections of a face region in a first frame and a corresponding window in a second frame. The method also verifies the translation motion between the first and second frames utilizing integral gradient projections. A method also determines a transfer function relating integral projection curves of a face region in a first frame that has a predefined position and a predetermined size and a co-located window of same size in a second frame, determines a scaling factor based upon the transfer function and then verifies the scaling factor utilizing integral gradient projections.

    摘要翻译: 提供了一种方法,装置和计算机程序产品,用于在面部跟踪期间估计和验证翻转运动和/或相应帧中的脸部区域之间的缩放因子。 一种方法基于第一帧中的面部区域和第二帧中的对应窗口的积分梯度投影来确定两个连续帧中的脸部区域之间的平移运动。 该方法还使用积分梯度投影来验证第​​一和第二帧之间的平移运动。 方法还确定在第二帧中具有预定位置和预定尺寸的第一帧中的面部区域的整体投影曲线和相同大小的同位置窗口的传递函数,基于该转移确定缩放因子 功能,然后使用积分梯度投影来验证缩放因子。

    Method and Apparatus for Feature Computation and Object Detection Utilizing Temporal Redundancy between Video Frames
    6.
    发明申请
    Method and Apparatus for Feature Computation and Object Detection Utilizing Temporal Redundancy between Video Frames 有权
    使用视频帧之间的时间冗余的特征计算和对象检测的方法和装置

    公开(公告)号:US20150043785A1

    公开(公告)日:2015-02-12

    申请号:US14238814

    申请日:2012-08-02

    申请人: Veldandi Muninder

    发明人: Veldandi Muninder

    IPC分类号: G06T7/20 G06K9/00

    摘要: A method, apparatus and computer program product are provided for determining spatial location for one or more facial features. A method computes features for an initial frame. The computed features of the initial frame generate a feature image. A method also determines whether a translation is verified between the initial frame and an intermediate frame, wherein a translation is verified in an instance in which a distance used to verify the translation between the initial frame and the intermediate frame is within a predetermined threshold level. A method also includes a face search, using a portion of the feature image, for one or more facial features, wherein the portion of the feature image searched is a fraction of the total number of frames analyzed in a feature computation cycle. A method also determines a spatial location for the one or more facial features detected in the intermediate frame.

    摘要翻译: 提供了一种用于确定一个或多个面部特征的空间位置的方法,装置和计算机程序产品。 一种方法计算初始帧的特征。 计算出的初始帧的特征产生一个特征图像。 方法还确定在初始帧和中间帧之间是否验证转换,其中在用于验证初始帧和中间帧之间的转换的距离在预定阈值水平内的情况下验证转换。 一种方法还包括使用特征图像的一部分的面部搜索用于一个或多个面部特征,其中所搜索的特征图像的部分是在特征计算周期中分析的总帧数的一部分。 方法还确定在中间帧中检测到的一个或多个面部特征的空间位置。

    METHODS, APPARATUSES AND COMPUTER PROGRAM PRODUCTS FOR PERFORMING ACCURATE POSE ESTIMATION OF OBJECTS
    7.
    发明申请
    METHODS, APPARATUSES AND COMPUTER PROGRAM PRODUCTS FOR PERFORMING ACCURATE POSE ESTIMATION OF OBJECTS 有权
    方法,设备和计算机程序产品,用于执行对象的精确位置估计

    公开(公告)号:US20150010203A1

    公开(公告)日:2015-01-08

    申请号:US14127272

    申请日:2012-05-03

    IPC分类号: G06T7/00 G06K9/00

    摘要: An apparatus for determining a pose(s) of an object(s) may include a processor and memory storing executable computer code causing the apparatus to at least perform operations including receiving a detected image of at least one face and analyzing the image of the at least one face based on data of at least one model identifying one or more poses. The poses may be related in part to at least one of a position or an orientation of respective faces. The computer program code may further cause the apparatus to determine that the face corresponds to one of the poses based in part on one or more items of data of the image passing criteria identified by the model as corresponding to the pose. Corresponding methods and computer program products are also provided.

    摘要翻译: 用于确定对象的姿态的装置可以包括处理器和存储器,其存储可执行计算机代码,使得该装置至少执行操作,包括接收至少一个脸部的检测到的图像,并且分析该图像的at 基于识别一个或多个姿势的至少一个模型的数据的至少一个面部。 姿态可以部分地与各个面部的位置或取向中的至少一个相关联。 计算机程序代码可以进一步使得设备基于部分地基于由模型识别的图像通过标准与姿态对应的一个或多个数据项来确定脸部对应于姿势之一。 还提供了相应的方法和计算机程序产品。

    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR COMPENSATING EYE COLOR DEFECTS
    8.
    发明申请
    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR COMPENSATING EYE COLOR DEFECTS 有权
    用于补偿眼睛颜色缺陷的方法,装置和计算机程序产品

    公开(公告)号:US20130308857A1

    公开(公告)日:2013-11-21

    申请号:US13807551

    申请日:2011-05-17

    IPC分类号: G06T7/00

    摘要: A red-eye detection and correction method comprises computing a first difference image based on a difference between red pixel intensity and green pixel intensity of a set of pixels (702). The set of pixels are associated with a first eye region of an image. The method further comprises processing the first difference image for computing at least one gradient and at least one projection associated with the at least one gradient (704). Furthermore, the method comprises determining at least one central point based on the at least one projection (706); and thereafter computing the first eye color defect region based on the at least one central point and a plurality of red pixels of the set of pixels (708). The method also comprises mapping an eye color defect location information computed from a low resolution image to be applicable on the original high resolution image, thereby avoiding recomputation.

    摘要翻译: 红眼检测和校正方法包括基于红色像素强度和一组像素的绿色像素强度之间的差异来计算第一差分图像(702)。 像素集合与图像的第一眼睛区域相关联。 该方法还包括处理第一差异图像以计算与至少一个梯度相关联的至少一个梯度和至少一个投影(704)。 此外,所述方法包括基于所述至少一个投影来确定至少一个中心点(706); 然后基于该组像素的至少一个中心点和多个红色像素计算第一眼睛颜色缺陷区域(708)。 该方法还包括将从低分辨率图像计算的眼色缺陷位置信息映射到原始高分辨率图像上,从而避免重新计算。

    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR GENERATING PANORAMA IMAGES
    9.
    发明申请
    METHOD, APPARATUS AND COMPUTER PROGRAM PRODUCT FOR GENERATING PANORAMA IMAGES 有权
    方法,装置和计算机程序产品用于产生全景图像

    公开(公告)号:US20130004100A1

    公开(公告)日:2013-01-03

    申请号:US13494230

    申请日:2012-06-12

    IPC分类号: G06K9/36

    摘要: In accordance with an example embodiment a method and apparatus is provided. The method comprises facilitating receiving of a first image and a second image. The method also comprises facilitating receiving of location information of a movable object and generating a panorama image based on the first image, the second image and the location information of the movable object.

    摘要翻译: 根据示例性实施例,提供了一种方法和装置。 该方法包括促进接收第一图像和第二图像。 该方法还包括便于接收可移动物体的位置信息,并且基于第一图像,第二图像和可移动物体的位置信息生成全景图像。