ENHANCING A SPATIO-TEMPORAL RESOLUTION OF A DEPTH DATA STREAM
    1.
    发明申请
    ENHANCING A SPATIO-TEMPORAL RESOLUTION OF A DEPTH DATA STREAM 有权
    增强深度数据流的时空分辨率

    公开(公告)号:US20150172623A1

    公开(公告)日:2015-06-18

    申请号:US14107534

    申请日:2013-12-16

    CPC classification number: H04N13/139 H04N13/111 H04N13/128 H04N2213/003

    Abstract: What is disclosed is a system and method for enhancing a spatio-temporal resolution of a depth data stream. In one embodiment, time-sequential reflectance frames and time-sequential depth frames of a scene are received. If a temporal resolution of the reflectance frames is greater than the depth frames then a new depth frame is generated based on correlations determined between motion patterns in the sequence of reflectance frames and the sequence of depth frames. The new depth frame is inserted into the sequence of depth frames at a selected time point. If a spatial resolution of the reflectance frames is greater than the depth frames then the spatial resolution of a selected depth frame is enhanced by generating new pixel depth values which are added to the selected depth frame. The spatially enhanced depth frame is then inserted back into the sequence of depth frames.

    Abstract translation: 公开的是用于增强深度数据流的时空分辨率的系统和方法。 在一个实施例中,接收场景的时序反射帧和时间顺序深度帧。 如果反射率帧的时间分辨率大于深度帧,则基于在反射帧序列中的运动模式和深度帧序列之间确定的相关性来生成新的深度帧。 在所选择的时间点将新的深度帧插入到深度帧序列中。 如果反射率帧的空间分辨率大于深度帧,则通过生成添加到所选择的深度帧的新像素深度值来增强所选深度帧的空间分辨率。 然后将空间增强的深度帧插入到深度帧序列中。

    RECONSTRUCTING AN IMAGE OF A SCENE CAPTURED USING A COMPRESSED SENSING DEVICE

    公开(公告)号:US20150003750A1

    公开(公告)日:2015-01-01

    申请号:US13932791

    申请日:2013-07-01

    Abstract: A method for reconstructing an image of a scene captured using a compressed sensing device. A mask is received which identifies at least one region of interest in an image of a scene. Measurements are then obtained of the scene using a compressed sensing device comprising, at least in part, a spatial light modulator configuring a plurality of spatial patterns according to a set of basis functions each having a different spatial resolution. A spatial resolution is adaptively modified according to the mask. Each pattern focuses incoming light of the scene onto a detector which samples sequential measurements of light. These measurements comprise a sequence of projection coefficients corresponding to the scene. Thereafter, an appearance of the scene is reconstructed utilizing a compressed sensing framework which reconstructs the image from the sequence of projection coefficients.

    HANDHELD CELLULAR APPARATUS FOR VOLUME ESTIMATION
    3.
    发明申请
    HANDHELD CELLULAR APPARATUS FOR VOLUME ESTIMATION 有权
    用于体积估计的手持细胞装置

    公开(公告)号:US20140368639A1

    公开(公告)日:2014-12-18

    申请号:US13920241

    申请日:2013-06-18

    CPC classification number: G01B11/00 G01B11/2513 H04M2250/52

    Abstract: What is disclosed is a wireless cellular device capable of determining a volume of an object in an image captured by a camera of that apparatus. In one embodiment, the present wireless cellular device comprises an illuminator for projecting a pattern of structured light with known spatial characteristics, and a camera for capturing images of an object for which a volume is to be estimated. The camera is sensitive to a wavelength range of the projected pattern of structured light. A spatial distortion is introduced by a reflection of the projected pattern off a surface of the object. And processor executing machine readable program instructions for performing the method of: receiving an image of the object from the camera; processing the image to generate a depth map; and estimating a volume of the object from the depth map. A method for using the present wireless cellular device is also provided.

    Abstract translation: 所公开的是能够确定由该设备的照相机拍摄的图像中的物体的体积的无线蜂窝设备。 在一个实施例中,本无线蜂窝设备包括用于投射具有已知空间特征的结构化光的图案的照明器,以及用于捕获要估计音量的对象的图像的照相机。 相机对结构光的投影图案的波长范围敏感。 通过将投影图案从物体的表面反射出来引入空间失真。 以及处理器执行机器可读程序指令,用于执行以下方法:从所述摄像机接收所述对象的图像; 处理图像以生成深度图; 并从深度图估计对象的体积。 还提供了一种使用本无线蜂窝设备的方法。

    RECONSTRUCTING AN IMAGE OF A SCENE CAPTURED USING A COMPRESSED SENSING DEVICE
    4.
    发明申请
    RECONSTRUCTING AN IMAGE OF A SCENE CAPTURED USING A COMPRESSED SENSING DEVICE 有权
    使用压缩感测装置重新构建捕获的场景的图像

    公开(公告)号:US20150317806A1

    公开(公告)日:2015-11-05

    申请号:US14753238

    申请日:2015-06-29

    Abstract: A method for reconstructing an image of a scene captured using a compressed sensing device. A mask is received which identifies at least one region of interest in an image of a scene. Measurements are then obtained of the scene using a compressed sensing device comprising, at least in part, a spatial light modulator configuring a plurality of spatial patterns according to a set of basis functions each having a different spatial resolution. A spatial resolution is adaptively modified according to the mask. Each pattern focuses incoming light of the scene onto a detector which samples sequential measurements of light. These measurements comprise a sequence of projection coefficients corresponding to the scene. Thereafter, an appearance of the scene is reconstructed utilizing a compressed sensing framework which reconstructs the image from the sequence of projection coefficients.

    Abstract translation: 一种用于重构使用压缩感测装置拍摄的场景的图像的方法。 接收到掩模,其识别场景的图像中的至少一个感兴趣区域。 然后使用压缩感测装置获得场景的测量,所述压缩感测装置至少部分地包括根据每个具有不同空间分辨率的基础函数的集合来配置多个空间模式的空间光调制器。 根据掩模自适应地修改空间分辨率。 每个图案将场景的入射光聚焦到对光进行顺序测量的检测器上。 这些测量包括对应于场景的一系列投影系数。 此后,利用从投影系数序列重建图像的压缩感测框架来重建场景的外观。

    SYSTEM AND METHOD FOR ADAPTIVE DEPTH MAP RECONSTRUCTION
    5.
    发明申请
    SYSTEM AND METHOD FOR ADAPTIVE DEPTH MAP RECONSTRUCTION 有权
    自适应深度地图重构的系统和方法

    公开(公告)号:US20150187082A1

    公开(公告)日:2015-07-02

    申请号:US14141610

    申请日:2013-12-27

    Abstract: What is disclosed is a system and method for adaptively reconstructing a depth map of a scene. In one embodiment, upon receiving a mask identifying a region of interest (ROI), a processor changes either a spatial attribute of a pattern of source light projected on the scene by a light modulator which projects an undistorted pattern of light with known spatio-temporal attributes on the scene, or changes an operative resolution of a depth map reconstruction module. A sensing device detects the reflected pattern of light. A depth map of the scene is generated by the depth map reconstruction module by establishing correspondences between spatial attributes in the detected pattern and spatial attributes of the projected undistorted pattern and triangulating the correspondences to characterize differences therebetween. The depth map is such that a spatial resolution in the ROI is higher relative to a spatial resolution of locations not within the ROI.

    Abstract translation: 公开的是用于自适应地重建场景的深度图的系统和方法。 在一个实施例中,在接收到识别感兴趣区域(ROI)的掩模之后,处理器通过光调制器来改变投射在场景上的源光的图案的空间属性,所述光调制器将未失真的光模式投射到已知的时空 场景上的属性,或改变深度图重建模块的可操作分辨率。 感测装置检测光的反射图案。 由深度图重建模块通过建立检测图案中的空间属性与投射的未失真模式的空间属性之间的对应关系并对其对应性进行三角测量,来形成场景的深度图。 深度图使得ROI中的空间分辨率相对于不在ROI内的位置的空间分辨率较高。

    SYSTEM AND METHOD FOR EMBEDDING A PHYSIOLOGICAL SIGNAL INTO A VIDEO
    6.
    发明申请
    SYSTEM AND METHOD FOR EMBEDDING A PHYSIOLOGICAL SIGNAL INTO A VIDEO 审中-公开
    将生理信号嵌入视频的系统和方法

    公开(公告)号:US20150286779A1

    公开(公告)日:2015-10-08

    申请号:US14245353

    申请日:2014-04-04

    Abstract: What is disclosed is a system and method for embedding a time-varying physiological signal corresponding to a physiological function of a subject into a video. In one embodiment, a video of a subject is received along with a time-varying signal corresponding to a physiological function of the subject. A representative image is obtained from the video. The received time-varying signal is divided into a plurality of signal segments. The obtained image is repeatedly replicated to generate a video sequence. The signal segments are encoded in the images comprising the generated video sequence. The video sequence containing the encoded physiological signal is then compressed using a video compression technique.

    Abstract translation: 所公开的是将对应于受试者的生理功能的时变生理信号嵌入到视频中的系统和方法。 在一个实施例中,被摄体的视频与对应于对象的生理功能的时变信号一起被接收。 从视频获得代表性的图像。 所接收的时变信号被分成多个信号段。 所获得的图像被重复地复制以产生视频序列。 信号段被编码在包括所生成的视频序列的图像中。 然后使用视频压缩技术来压缩包含经编码的生理信号的视频序列。

    GENERATING A FLOW-VOLUME LOOP FOR RESPIRATORY FUNCTION ASSESSMENT
    8.
    发明申请
    GENERATING A FLOW-VOLUME LOOP FOR RESPIRATORY FUNCTION ASSESSMENT 审中-公开
    产生呼吸功能评估的流量环

    公开(公告)号:US20150073281A1

    公开(公告)日:2015-03-12

    申请号:US14023654

    申请日:2013-09-11

    Abstract: What is disclosed is a system and method for generating a flow-volume loop for respiratory function assessment of a subject of interest in a non-contact, remote sensing environment. In one embodiment, a time-varying sequence of depth maps of a target region of a subject of interest being monitored for respiratory function is received. The depth maps are of that target region over a period of inspiration and expiration. The depth maps are processed to obtain a volume signal comprising a temporal sequence of instantaneous volumes. The time-varying volume signal is processed to obtain a flow-volume loop. Changes in a contour of the flow-volume loop are used to assess the subject's respiratory function. The teachings hereof find their uses in a wide array of medical applications where it is desired to monitor respiratory function of patients such as elderly patients, chronically ill patients with respiratory diseases and premature babies.

    Abstract translation: 公开的是用于在非接触式遥感环境中产生感兴趣对象的呼吸功能评估的流量回路的系统和方法。 在一个实施例中,接收针对呼吸功能监视的感兴趣对象的目标区域的深度图的时变序列。 深度图是在灵感和期满期间的目标区域。 处理深度图以获得包括瞬时体积的时间序列的体积信号。 处理时变音量信号以获得流量环路。 流量循环轮廓的变化用于评估受试者的呼吸功能。 这些教导在各种医疗应用中发现其用途,其中希望监测患者的呼吸功能,例如老年患者,长期患有呼吸系统疾病的患者和早产儿。

    SYSTEM AND METHOD FOR ADAPTIVE DEPTH MAP RECONSTRUCTION

    公开(公告)号:US20160086341A1

    公开(公告)日:2016-03-24

    申请号:US14958157

    申请日:2015-12-03

    Abstract: What is disclosed is a system and method for adaptively reconstructing a depth map of a scene. In one embodiment, upon receiving a mask identifying a region of interest (ROI), a processor changes either a spatial attribute of a pattern of source light projected on the scene by a light modulator which projects an undistorted pattern of light with known spatio-temporal attributes on the scene, or changes an operative resolution of a depth map reconstruction module. A sensing device detects the reflected pattern of light. A depth map of the scene is generated by the depth map reconstruction module by establishing correspondences between spatial attributes in the detected pattern and spatial attributes of the projected undistorted pattern and triangulating the correspondences to characterize differences therebetween. The depth map is such that a spatial resolution in the ROI is higher relative to a spatial resolution of locations not within the ROI.

    RESPIRATORY FUNCTION ESTIMATION FROM A 2D MONOCULAR VIDEO
    10.
    发明申请
    RESPIRATORY FUNCTION ESTIMATION FROM A 2D MONOCULAR VIDEO 有权
    来自二维单视频的呼吸功能估计

    公开(公告)号:US20140142435A1

    公开(公告)日:2014-05-22

    申请号:US13680838

    申请日:2012-11-19

    Abstract: What is disclosed is a system and method for processing a video acquired using a 2D monocular video camera system to assess respiratory function of a subject of interest. In various embodiments hereof, respiration-related video signals are obtained from a temporal sequence of 3D surface maps that have been reconstructed based on an amount of distortion detected in a pattern placed over the subject's thoracic region (chest area) during video acquisition relative to known spatial characteristics of an undistorted reference pattern. Volume data and frequency information are obtained from the processed video signals to estimate chest volume and respiration rate. Other respiratory function estimations of the subject in the video can also be derived. The obtained estimations are communicated to a medical professional for assessment. The teachings hereof find their uses in settings where it is desirable to assess patient respiratory function in a non-contact, remote sensing environment.

    Abstract translation: 公开的是用于处理使用2D单眼摄像机系统获取的视频来评估感兴趣的对象的呼吸功能的系统和方法。 在本发明的各种实施例中,呼吸相关视频信号是根据在视频采集期间相对于已知的对象的胸部区域(胸部区域)放置的图案中检测到的失真量已被重建的3D表面贴图的时间序列获得的。 未失真的参考模式的空间特征。 从处理的视频信号中获得体数据和频率信息,以估计胸部体积和呼吸速率。 还可以推导出视频中对象的其他呼吸功能估计。 获得的估计被传达给医疗专业人员进行评估。 本文的教导在需要在非接触式遥感环境中评估患者呼吸功能的设置中找到其用途。

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