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
    • 1. 发明申请
    • METHODS AND ARRANGEMENTS FOR IDENTIFYING OBJECTS
    • 确定对象的方法和安排
    • WO2014063157A2
    • 2014-04-24
    • PCT/US2013065958
    • 2013-10-21
    • DIGIMARC CORP
    • RODRIGUEZ TONY FBAI YANGCALHOON SEANCONWELL WILLIAM YEVANS ERIC DFILLER TOMASFOOTEN MARC GMACINTOSH BRIAN TSTACH JOHN
    • G06K9/78G06K7/14G06Q30/00
    • G06K9/00G06K9/3216G06K2009/3225G06K2209/25
    • In some arrangements, product packaging is digitally watermarked over most of its extent to facilitate high-throughput item identification at retail checkouts. Imagery captured by conventional or plenoptic cameras can be processed (e.g., by GPUs) to derive several different perspective -transformed views - further minimizing the need to manually reposition items for identification. Crinkles and other deformations in product packaging can be optically sensed, allowing such surfaces to be virtually flattened to aid identification. Piles of items can be 3D-modelled and virtually segmented into geometric primitives to aid identification, and to discover locations of obscured items. Other data (e.g., including data from sensors in aisles, shelves and carts, and gaze tracking for clues about visual saliency) can be used in assessing identification hypotheses about an item. Logos may be identified and used - or ignored - in product identification. A great variety of other features and arrangements are also detailed.
    • 在某些安排中,产品包装在其大部分范围内都进行了数字水印处理,以促进零售结账时的高吞吐量商品识别。 可以处理由常规或全光照相机捕捉的图像(例如,通过GPU)以导出几个不同的透视变换视图 - 进一步最小化手动重新定位物品以进行识别的需要。 产品包装中的皱纹和其他变形可通过光学方式进行检测,从而使这些表面几乎变平,以帮助识别。 成堆的物品可以进行3D建模并虚拟分割成几何图元以帮助识别,并发现被遮盖物品的位置。 其他数据(例如,包括来自过道中的传感器,货架和推车的数据,以及注视追踪关于视觉显着性的线索的数据)可用于评估关于物品的识别假设。 产品标识中可能会标识和使用徽标(或忽略)。 其他各种功能和安排也有详细介绍。
    • 3. 发明申请
    • LEARNING SYSTEMS AND METHODS
    • 学习系统与方法
    • WO2015017796A3
    • 2015-04-02
    • PCT/US2014049435
    • 2014-08-01
    • DIGIMARC CORPMEYER JOEL R
    • RODRIGUEZ TONY FALATTAR OSAMA MBRUNK HUGH LCONWELL WILLIAM YKAMATH AJITH MULKI
    • G06K9/00G06F21/16G06K9/32G06K9/62G06T1/00
    • G06T1/0021G06F21/16G06K9/00671G06K9/3216G06K9/6256G06K9/6259G06K9/627
    • A sequence of images depicting an object is captured, e.g., by a camera at a point-of-sale terminal in a retail store. The object is identified, such as by a barcode or watermark that is detected from one or more of the images. Once the object's identity is known, such information is used in training a classifier (e.g., a machine learning system) to recognize the object from others of the captured images, including images that may be degraded by blur, inferior lighting, etc. In another arrangement, such degraded images are processed to identify feature points useful in fingerprint-based identification of the object. Feature points extracted from such degraded imagery aid in fingerprint-based recognition of objects under real life circumstances, as contrasted with feature points extracted from pristine imagery (e.g., digital files containing label artwork for such objects). A great variety of other features and arrangements - some involving designing classifiers so as to combat classifier copying - are also detailed.
    • 描绘对象的图像序列例如通过零售商店中的销售点终端处的相机来捕获。 识别对象,例如通过从一个或多个图像检测到的条形码或水印。 一旦对象的身份被知道,这样的信息被用于训练分类器(例如,机器学习系统)以从其他捕获的图像识别对象,包括可能由于模糊,劣质照明等而降级的图像。在另一个 处理这种退化的图像以识别在对象的基于指纹的识别中有用的特征点。 从这种退化的图像提取的特征点有助于在现实生活环境下的对象的基于指纹的识别,与从原始图像提取的特征点(例如,包含用于这些对象的标签图案的数字文件)相反。 其他各种其他功能和安排 - 有些涉及设计分类器以打击分类器复制 - 也是详细的。