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    • 1. 发明申请
    • CONSTRUCTING A 3D STRUCTURE
    • 构造3D结构
    • WO2015185968A1
    • 2015-12-10
    • PCT/IB2014/067375
    • 2014-12-29
    • TATA CONSULTANCY SERVICES LIMITED
    • SAHA, ArindamBHOWMICK, BrojeshwarSINHA, Aniruddha
    • G06T15/00
    • G06T17/10G06T7/593G06T17/00G06T2200/08G06T2207/10016G06T2210/56
    • The present subject matter discloses a system and a method for constructing a 3D structure. A stream of images having timestamps associated is received at first. A plurality of image sub-groups is created using the stream of images. The plurality of image sub-groups are used for extracting features of the images present in the image sub-groups. The features are used for generating point correspondences between the images. Epipolar geometries for the image sub-groups are calculated for filtering of the point correspondences, and generating filtered point correspondences. Further, 3D points representing one or more 3D point structures are generated using the filtered point correspondences. A registered 3D structure is constructed using the one or more 3D structures upon considering a scale correction and transformation between the one or more 3D structures. Further, the registered 3D structure is dense reconstructed for improving the pixel density of the 3D structure.
    • 本主题公开了一种用于构造3D结构的系统和方法。 首先接收具有相关联的时间戳的图像流。 使用图像流创建多个图像子组。 多个图像子组用于提取存在于图像子组中的图像的特征。 这些特征用于产生图像之间的点对应。 计算图像子组的对极几何,以对点对应进行滤波,并生成滤波点对应。 此外,使用经过滤的点对应来生成表示一个或多个3D点结构的3D点。 在考虑一个或多个3D结构之间的刻度校正和变换时,使用一个或多个3D结构来构造注册的3D结构。 此外,注册的3D结构被密集重建,以改善3D结构的像素密度。
    • 3. 发明申请
    • A COST EFFECTIVE AND ROBUST SYSTEM AND METHOD FOR EYE TRACKING AND DRIVER DROWSINESS IDENTIFICATION
    • 一种成本有效且稳健的系统和方法,用于眼睛追踪和驾驶者失灵识别
    • WO2011067788A2
    • 2011-06-09
    • PCT/IN2010/000781
    • 2010-12-02
    • TATA CONSULTANCY SERVICES LIMITEDCHIDANAND, K. S.BHOWMICK, Brojeshwar
    • CHIDANAND, K. S.BHOWMICK, Brojeshwar
    • G06K9/00
    • G06K9/00604A61B3/113A61B5/18G06F3/013G06K9/0061G06K9/00845G08B21/06
    • A cost-effective and robust method for localizing and tracking drowsiness state of the eyes of driver by using images captured by near infrared camera disposed on the vehicle, the said method comprising the processor implemented steps of: Real-time tracking of the face and localizing eye bounding box within the face bounding box in the captured image by comparing the gray values with threshold using the segmentation process; tracking the eyes by computing centroid of the eye, target model histogram and target candidate model histogram for one location to another by comparing them to identify distance and calculating the displacement of the target centre by weighted means, wherein the target model histogram and target candidate model histogram are computed based on the feature space; and detecting the drowsiness state of the eyes using histogram equalization, Morphological operations and texture based parameters using histogram and grey level co-occurrence matrices.
    • 通过使用由设置在车辆上的近红外照相机拍摄的图像来定位和跟踪驾驶员眼睛的困倦状态的成本有效和稳健的方法,所述方法包括处理器实现的步骤: 通过使用分割处理将灰度值与阈值进行比较来对捕捉的图像中的面部边界框内的眼部边界框进行定位跟踪和定位; 通过计算一个位置到另一个位置的目标模型直方图和目标候选模型直方图,通过比较它们以识别距离并通过加权装置计算目标中心的位移来追踪眼睛,其中目标模型直方图和目标候选模型 基于特征空间计算直方图; 并使用直方图均衡化,形态学操作和基于纹理的参数使用直方图和灰度共生矩阵来检测眼睛的困倦状态。
    • 4. 发明申请
    • KINECT BASED BALANCE ANALYSIS USING SINGLE LEG STANCE (SLS) EXERCISE
    • 运用单腿站立(SLS)练习的基于KINECT的平衡分析
    • WO2017158569A1
    • 2017-09-21
    • PCT/IB2017/051567
    • 2017-03-17
    • TATA CONSULTANCY SERVICES LIMITED
    • CHAKRAVARTY, KingshukBHOWMICK, BrojeshwarSINHA, AniruddhaSUMAN, SurajDAS, Abhijit
    • A61B5/11
    • Synchronized and coordinated activation of the postural muscles of the trunk and lower limbs is required for maintaining equilibrium and balance in human body. Poor postural balance control causes injury or falls in huge population and is supposed to be a critical factor of common motor skills. Single Leg Stance (SLS) is a good option for measuring postural control in any stance, which not only assesses postural steadiness in a static position by a temporal measurement (SLS-duration) but also analyses the role of body skeleton joints in postural stability and correction. This method provides a quick, reliable and easy way to screen their patients for fall risks and is easily incorporated into a comprehensive functional evaluation for older adults. An automatic unobtrusive system is proposed here to measure SLS duration and body balance. For this purpose, vibration-jitter analysis is performed which gives a clear view of relative variation of frequency of different skeleton joints over time. The whole processing is done on the dataset of skeleton joints obtained from Kinect. The dataset of skeleton joints through the Kinect setup, is used instead of video, which addresses user privacy concerns.
    • 为了保持人体内的平衡和平衡,需要同步和协调地激活躯干和下肢的姿势肌肉。 差的姿势平衡控制会导致伤害或者人口众多,并且应该是普通运动技能的关键因素。 单腿姿势(SLS)是测量任何姿态的姿势控制的良好选择,不仅通过时间测量(SLS持续时间)评估静态位置的姿势稳定性,而且分析身体骨骼关节在姿势稳定性中的作用以及 更正。 这种方法提供了一种快速,可靠和简便的方法来筛查患者的跌倒风险,并且可以轻松纳入老年人的综合功能评估。 这里提出了一种自动不显眼的系统来测量SLS持续时间和身体平衡。 为此,进行振动抖动分析,可以清楚地看到不同骨架关节随时间的频率变化。 整个处理过程是在Kinect获得的骨骼关节数据集上完成的。 使用通过Kinect设置的骨骼关节数据集,而不是视频,这解决了用户隐私问题。