会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 54. 发明申请
    • IRIS RECOGNITION USING LOCALIZED ZERNIKE MOMENTS
    • 使用本地化ZERNIKE MOMENTS的IRIS识别
    • US20140023240A1
    • 2014-01-23
    • US13552694
    • 2012-07-19
    • Sharath VenkateshaSaad J. BedrosJan Jelinek
    • Sharath VenkateshaSaad J. BedrosJan Jelinek
    • G06K9/00G06K9/34
    • G06K9/0061G06K9/00617
    • A system receives an iris image and segments the iris region. The segmented iris region is mapped to a unit disk and partitioned into local iris regions (or sectors) as a function of the radius and angle The system calculates localized Zernike moments for a plurality of regions of the unit disk. The localized Zernike moment includes a projection of the local iris region into a space of Zernike polynomial orthogonal basis functions. The system generates an iris feature set from the localized Zernike moments for each partitioned region, excluding the regions which are comprised by occlusion. The iris features are weighted based on the conditions of blur, gaze and occlusion of the iris region. A probe iris image is then matched to a plurality of iris images in a database based on the distance of its feature set to the corresponding plurality of iris feature sets.
    • 系统接收虹膜图像并分割虹膜区域。 分割的虹膜区域被映射到单位盘并且根据半径和角度被划分为局部光圈区域(或扇区)。系统计算单位盘的多个区域的局部Zernike力矩。 局部Zernike矩包括局部虹膜区域投影到Zernike多项式正交基函数的空间中。 系统从每个分割区域的局部泽尼克力矩生成虹膜特征集,不包括由遮挡包含的区域。 基于虹膜区域的模糊,注视和闭塞的条件对虹膜特征进行加权。 然后,将探测虹膜图像基于其特征集与相应的多个虹膜特征集合的距离与数据库中的多个虹膜图像进行匹配。
    • 57. 发明申请
    • CONTEXT-AWARE SMART HOME ENERGY MANAGER
    • CONTEXT-AWARE智能家居经理
    • US20110046805A1
    • 2011-02-24
    • US12852690
    • 2010-08-09
    • Saad J. BedrosTom MarkhamTom PlocherPradeep ShettyThirumaran EkambaramNasir Mohammed
    • Saad J. BedrosTom MarkhamTom PlocherPradeep ShettyThirumaran EkambaramNasir Mohammed
    • G06F1/32
    • H04L12/2829G05B15/02G05B19/0421G05B2219/2639G05B2219/2642H04L12/2809H04L12/282H04L2012/285
    • A context-aware smart home energy management (CASHEM) system and method is disclosed. CASHEM dynamically schedules household energy use to reduce energy consumption by identifying contextual information within said household, selecting a comfort of service preference, wherein said comfort of service preference is based on different said contextual information, and extracting an appliance use schedule for maximum energy savings based on said contextual information in light of said comfort of service preferences, by executing a program instruction in a data processing apparatus. CASHEM correlates said contextual information with energy consumption levels to dynamically schedule said appliance based on an energy-saving condition and a user's comfort. Comfort of service preferences are gathered by CASHEM by monitoring occupant activity levels and use of said appliance. CASHEM can also recommend potential energy savings for a user to modify comfort of service preferences.
    • 公开了一种上下文感知智能家居能源管理(CASHEM)系统和方法。 CASHEM通过识别所述家庭内的上下文信息来动态地调度家庭能量消耗以减少能量消耗,选择服务偏好的舒适度,其中所述服务偏好的舒适性基于不同的所述上下文信息,并提取用于最大节能的设备使用进度 根据所述服务偏好的舒适性,通过在数据处理装置中执行程序指令来执行所述上下文信息。 CASHEM将所述上下文信息与能量消耗水平相关联,以基于节能条件和用户的舒适度来动态地调度所述设备。 通过监测乘客活动水平和使用所述设备,CASHEM收集服务偏好的舒适度。 CASHEM还可以为用户推荐潜在的节能量来改变服务偏好的舒适度。