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公开(公告)号：US09380224B2
公开(公告)日：2016-06-28
申请号：US14193686
申请日：2014-02-28
Applicant: Microsoft Corporation
Inventor： Cem Keskin , Sean Ryan Francesco Fanello , Shahram Izadi , Pushmeet Kohli , David Kim , David Sweeney , Jamie Daniel Joseph Shotton , Duncan Paul Robertson , Sing Bing Kang
CPC classification number: H04N5/33 , G06K9/00201 , G06K9/2018 , G06K9/6219 , G06K9/6282 , G06T7/521 , G06T2200/04 , G06T2207/10028 , G06T2207/10048 , G06T2207/20081 , G06T2207/30201
Abstract: A method of sensing depth using an infrared camera. In an example method, an infrared image of a scene is received from an infrared camera. The infrared image is applied to a trained machine learning component which uses the intensity of image elements to assign all or some of the image elements a depth value which represents the distance between the surface depicted by the image element and the infrared camera. In various examples, the machine line component comprises one or more random decision forests.
Abstract translation: 使用红外摄像机感测深度的方法。 在一个示例方法中，从红外相机接收场景的红外图像。 将红外图像应用于训练有素的机器学习部件，其使用图像元素的强度来分配全部或部分图像元素，该深度值表示由图像元素描绘的表面与红外相机之间的距离。 在各种示例中，机器线路部件包括一个或多个随机决策树。
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公开(公告)号：US20150160785A1
公开(公告)日：2015-06-11
申请号：US14103499
申请日：2013-12-11
Applicant: MICROSOFT CORPORATION
Inventor： Liang Wang , Sing Bing Kang , Jamie Daniel Joseph Shotton , Matheen Siddiqui , Vivek Pradeep , Steven Nabil Bathiche , Luis E. Cabrera-Cordon , Pablo Sala
CPC classification number: G06F3/0421 , G06F3/0412 , G06F3/0416 , G06F3/042 , G06F17/18 , G06K9/00389 , G06K9/2018 , G06K9/4628 , G06K9/6282
Abstract: Object detection techniques for use in conjunction with optical sensors is described. In one or more implementations, a plurality of inputs are received, each of the inputs being received from a respective one of a plurality of optical sensors. Each of the plurality of inputs are classified using machine learning as to whether the inputs are indicative of detection of an object by a respective said optical sensor.
Abstract translation: 描述了与光学传感器结合使用的物体检测技术。 在一个或多个实现中，接收多个输入，每个输入都是从多个光学传感器中的相应一个接收的。 使用机器学习来分类多个输入中的每一个，以确定输入是否指示通过相应的所述光学传感器检测物体。
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公开(公告)号：US20140307055A1
公开(公告)日：2014-10-16
申请号：US13915626
申请日：2013-06-11
Applicant: Microsoft Corporation
Inventor： Sing Bing Kang , Andreas Georgiou , Richard S. Szeliski
IPC: H04N13/02
CPC classification number: G06K9/00536 , A63F13/213 , B29C64/00 , B29C64/386 , G01B11/22 , G01B11/25 , G01B11/2513 , G01B11/2527 , G01B11/2545 , G02B5/1895 , G02B27/4205 , G02B27/4233 , G02B27/44 , G06F3/0653 , G06F3/0659 , G06F3/0683 , G06F9/3004 , G06F9/30043 , G06F9/30127 , G06F11/3024 , G06F12/00 , G06F12/02 , G06F12/0207 , G06F12/0292 , G06K9/00201 , G06K9/0063 , G06K9/62 , G06T1/60 , G06T7/00 , G06T7/586 , G06T2207/30244 , H04N5/2256 , H04N5/33 , H04N5/332 , H04N9/045 , H04N13/128 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/271 , H04N17/002 , H04N2013/0081
Abstract: The subject disclosure is directed towards projecting light in a pattern in which the pattern contains components (e.g., spots) having different intensities. The pattern may be based upon a grid of initial points associated with first intensities and points between the initial points with second intensities, and so on. The pattern may be rotated relative to cameras that capture the pattern, with captured images used active depth sensing based upon stereo matching of dots in stereo images.
Abstract translation: 本发明涉及以图案包含具有不同强度的成分（例如，斑点）的图案来投影光。 该图案可以基于与第一强度相关联的初始点的网格和具有第二强度的初始点之间的点，等等。 该图案可以相对于拍摄图案的相机旋转，捕获的图像使用基于立体图像中的点的立体匹配的主动深度感测。
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公开(公告)号：US20150248764A1
公开(公告)日：2015-09-03
申请号：US14193686
申请日：2014-02-28
Applicant: Microsoft Corporation
Inventor： Cem Keskin , Sean Ryan Francesco Fanello , Shahram Izadi , Pushmeet Kohli , David Kim , David Sweeney , Jamie Daniel Joesph Shotton , Duncan Paul Robertson , Sing Bing Kang
CPC classification number: H04N5/33 , G06K9/00201 , G06K9/2018 , G06K9/6219 , G06K9/6282 , G06T7/521 , G06T2200/04 , G06T2207/10028 , G06T2207/10048 , G06T2207/20081 , G06T2207/30201
Abstract: A method of sensing depth using an infrared camera. In an example method, an infrared image of a scene is received from an infrared camera. The infrared image is applied to a trained machine learning component which uses the intensity of image elements to assign all or some of the image elements a depth value which represents the distance between the surface depicted by the image element and the infrared camera. In various examples, the machine line component comprises one or more random decision forests.
Abstract translation: 使用红外摄像机感测深度的方法。 在一个示例方法中，从红外相机接收场景的红外图像。 将红外图像应用于训练有素的机器学习部件，其使用图像元素的强度来分配全部或部分图像元素，该深度值表示由图像元素描绘的表面与红外相机之间的距离。 在各种示例中，机器线路部件包括一个或多个随机决策树。
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公开(公告)号：US09092884B2
公开(公告)日：2015-07-28
申请号：US13790634
申请日：2013-03-08
Applicant: Microsoft Corporation
Inventor： Denis Demandolx , Sing Bing Kang
CPC classification number: G06T3/60 , G06K9/3275 , G06K9/4604
Abstract: Tilt is reduced or eliminated in captured digital images. Edges in a first image are detected. Angles corresponding to the detected edges are determined. A dominant angle is selected from the determined angles. The first image is rotated according to the selected dominant angle to generate a second image. The second image is a de-tilted version of the first image.
Abstract translation: 捕获的数字图像中的倾斜减少或消除。 检测到第一幅图像中的边缘。 确定对应于检测到的边缘的角度。 从确定的角度中选择主角。 第一图像根据选择的主角旋转以产生第二图像。 第二个图像是第一个图像的倾斜版本。
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Patent Agency Ranking
6.发明申请DIFFRACTIVE OPTICAL ELEMENT WITH UNDIFFRACTED LIGHT EXPANSION FOR EYE SAFE OPERATION 有权用于眼睛安全操作的发散光扩张的差分光学元件公开(公告)号：US20140307307A1
公开(公告)日：2014-10-16
申请号：US13923135
申请日：2013-06-20
Applicant: Microsoft Corporation
Inventor： Andreas Georgiou , Joel Steven Kollin , Sing Bing Kang
IPC: G02B27/42
CPC classification number: G06K9/00536 , A63F13/213 , B29C64/00 , B29C64/386 , G01B11/22 , G01B11/25 , G01B11/2513 , G01B11/2527 , G01B11/2545 , G02B5/1895 , G02B27/4205 , G02B27/4233 , G02B27/44 , G06F3/0653 , G06F3/0659 , G06F3/0683 , G06F9/3004 , G06F9/30043 , G06F9/30127 , G06F11/3024 , G06F12/00 , G06F12/02 , G06F12/0207 , G06F12/0292 , G06K9/00201 , G06K9/0063 , G06K9/62 , G06T1/60 , G06T7/00 , G06T7/586 , G06T2207/30244 , H04N5/2256 , H04N5/33 , H04N5/332 , H04N9/045 , H04N13/128 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/271 , H04N17/002 , H04N2013/0081
Abstract: Aspects of the subject disclosure are directed towards safely projecting a diffracted light pattern, such as in an infrared laser-based projection/illumination system. Non-diffracted (zero-order) light is refracted once to diffuse (defocus) the non-diffracted light to an eye safe level. Diffracted (non-zero-order) light is aberrated twice, e.g., once as part of diffraction by a diffracting optical element encoded with a Fresnel lens (which does not aberrate the non-diffracted light), and another time to cancel out the other aberration; the two aberrations may occur in either order. Various alternatives include upstream and downstream positioning of the diffracting optical element relative to a refractive optical element, and/or refraction via positive and negative lenses.
Abstract translation: 本发明的方面涉及安全地投射衍射光图案，例如在基于红外激光的投影/照明系统中。 非衍射（零级）光被折射一次以将非衍射光扩散（散焦）至眼睛安全水平。 衍射（非零级）光是像差的两倍，例如，一旦作为由用菲涅尔透镜编码的衍射光学元件的衍射的一部分（其不像差的非衍射光），另一次被抵消另一个 像差 两个像差可以以任何顺序发生。 各种替代方案包括衍射光学元件相对于折射光学元件的上游和下游定位，和/或通过正和负透镜的折射。
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公开(公告)号：US20140307098A1
公开(公告)日：2014-10-16
申请号：US13915622
申请日：2013-06-11
Applicant: Microsoft Corporation
Inventor： Sing Bing Kang , Adam G. Kirk
IPC: H04N5/33
CPC classification number: G06K9/00536 , A63F13/213 , B29C64/00 , B29C64/386 , G01B11/22 , G01B11/25 , G01B11/2513 , G01B11/2527 , G01B11/2545 , G02B5/1895 , G02B27/4205 , G02B27/4233 , G02B27/44 , G06F3/0653 , G06F3/0659 , G06F3/0683 , G06F9/3004 , G06F9/30043 , G06F9/30127 , G06F11/3024 , G06F12/00 , G06F12/02 , G06F12/0207 , G06F12/0292 , G06K9/00201 , G06K9/0063 , G06K9/62 , G06T1/60 , G06T7/00 , G06T7/586 , G06T2207/30244 , H04N5/2256 , H04N5/33 , H04N5/332 , H04N9/045 , H04N13/128 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/271 , H04N17/002 , H04N2013/0081
Abstract: The subject disclosure is directed towards color correcting for infrared (IR) components that are detected in the R, G, B parts of a sensor photosite. A calibration process determines true R, G, B based upon obtaining or estimating IR components in each photosite, such as by filtering techniques and/or using different IR lighting conditions. A set of tables or curves obtained via offline calibration model the correction data needed for online correction of an image.
Abstract translation: 本发明涉及在传感器光泽的R，G，B部分中检测到的红外（IR）分量的颜色校正。 基于获得或估计每个光子中的IR分量，例如通过滤波技术和/或使用不同的IR照明条件，校准过程确定真实的R，G，B。 通过离线校准获得的一组表或曲线模拟了在线校正图像所需的校正数据。
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公开(公告)号：US20140307058A1
公开(公告)日：2014-10-16
申请号：US13925762
申请日：2013-06-24
Applicant: Microsoft Corporation
Inventor： Adam G. Kirk , Oliver A. Whyte , Sing Bing Kang , Charles Lawrence Zitnick, III , Richard S. Szeliski , Shahram Izadi , Christoph Rhemann , Andreas Georgiou , Avronil Bhattacharjee
CPC classification number: G06K9/00536 , A63F13/213 , B29C64/00 , B29C64/386 , G01B11/22 , G01B11/25 , G01B11/2513 , G01B11/2527 , G01B11/2545 , G02B5/1895 , G02B27/4205 , G02B27/4233 , G02B27/44 , G06F3/0653 , G06F3/0659 , G06F3/0683 , G06F9/3004 , G06F9/30043 , G06F9/30127 , G06F11/3024 , G06F12/00 , G06F12/02 , G06F12/0207 , G06F12/0292 , G06K9/00201 , G06K9/0063 , G06K9/62 , G06T1/60 , G06T7/00 , G06T7/586 , G06T2207/30244 , H04N5/2256 , H04N5/33 , H04N5/332 , H04N9/045 , H04N13/128 , H04N13/239 , H04N13/25 , H04N13/254 , H04N13/271 , H04N17/002 , H04N2013/0081
Abstract: The subject disclosure is directed towards a high resolution, high frame rate, robust stereo depth system. The system provides depth data in varying conditions based upon stereo matching of images, including actively illuminated IR images in some implementations. A clean IR or RGB image may be captured and used with any other captured images in some implementations. Clean IR images may be obtained by using a notch filter to filter out the active illumination pattern. IR stereo cameras, a projector, broad spectrum IR LEDs and one or more other cameras may be incorporated into a single device, which may also include image processing components to internally compute depth data in the device for subsequent output.
Abstract translation: 主题公开涉及高分辨率，高帧率，鲁棒的立体深度系统。 该系统基于图像的立体匹配，包括在一些实施中的主动照明的IR图像，在不同的条件下提供深度数据。 在某些实现中，可以捕获干净的IR或RGB图像并与任何其他捕获的图像一起使用。 清洁IR图像可以通过使用陷波滤波器来滤除有源照明图案来获得。 红外立体照相机，投影仪，广谱红外LED和一个或多个其他相机可以并入到单个设备中，该设备还可以包括图像处理组件以在内部计算设备中的深度数据以用于随后的输出。
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9.发明申请公开(公告)号：US20140307047A1
公开(公告)日：2014-10-16
申请号：US13924464
申请日：2013-06-21
Applicant: Microsoft Corporation
Inventor： Adam G. Kirk , Christoph Rhemann , Oliver A. Whyte , Shahram Izadi , Sing Bing Kang
Abstract: The subject disclosure is directed towards stereo matching based upon active illumination, including using a patch in a non-actively illuminated image to obtain weights that are used in patch similarity determinations in actively illuminated stereo images. To correlate pixels in actively illuminated stereo images, adaptive support weights computations may be used to determine similarity of patches corresponding to the pixels. In order to obtain meaningful adaptive support weights for the adaptive support weights computations, weights are obtained by processing a non-actively illuminated (“clean”) image.
Abstract translation: 主题公开涉及基于主动照明的立体匹配，包括使用非主动照明图像中的贴片来获得用于主动照明立体图像中的贴片相似性确定中的权重。 为了使主动照明的立体图像中的像素相关联，可以使用自适应支持权重计算来确定与像素相对应的片段的相似度。 为了获得自适应支持权重计算的有意义的自适应支持权重，通过处理非主动照明（“干净”）图像获得权重。
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公开(公告)号：US20140293074A1
公开(公告)日：2014-10-02
申请号：US14270325
申请日：2014-05-05
Applicant: Microsoft Corporation
Inventor： Neel Suresh Joshi , Sing Bing Kang , Michael F. Cohen , Kalyan Krishna Sunkavalli
CPC classification number: H04N5/23232 , G06T3/4038 , H04N5/23267 , H04N5/262
Abstract: A method described herein includes acts of receiving a sequence of images of a scene and receiving an indication of a reference image in the sequence of images. The method further includes an act of automatically assigning one or more weights independently to each pixel in each image in the sequence of images of the scene. Additionally, the method includes an act of automatically generating a composite image based at least in part upon the one or more weights assigned to each pixel in each image in the sequence of images of the scene.
Abstract translation: 本文描述的方法包括接收场景的图像序列并接收图像序列中的参考图像的指示的动作。 该方法还包括自动地将一个或多个权重自动分配给场景图像序列中的每个图像中的每个像素的动作。 此外，该方法包括至少部分地基于分配给场景的图像序列中的每个图像中的每个像素的一个或多个权重来自动生成合成图像的动作。
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