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    • 43. 发明申请
    • ACCURATE TEXT CLASSIFICATION THROUGH SELECTIVE USE OF IMAGE DATA
    • 通过选择性使用图像数据的精确文本分类
    • US20120314941A1
    • 2012-12-13
    • US13158484
    • 2011-06-13
    • Anitha KannanPartha Pratim TalukdarNikhil RasiwasiaQifa KeRakesh Agrawal
    • Anitha KannanPartha Pratim TalukdarNikhil RasiwasiaQifa KeRakesh Agrawal
    • G06K9/62
    • G06K9/6268G06K9/6227G06K9/6293
    • Product images are used in conjunction with textual descriptions to improve classifications of product offerings. By combining cues from both text and image descriptions associated with products, implementations enhance both the precision and recall of product description classifications within the context of web-based commerce search. Several implementations are directed to improving those areas where text-only approaches are most unreliable. For example, several implementations use image signals to complement text classifiers and improve overall product classification in situations where brief textual product descriptions use vocabulary that overlaps with multiple diverse categories. Other implementations are directed to using text and images “training sets” to improve automated classifiers including text-only classifiers. Certain implementations are also directed to learning a number of three-way image classifiers focused only on “confusing categories” of the text signals to improve upon those specific areas where text-only classification is weakest.
    • 产品图像与文本描述结合使用,以改进产品分类。 通过结合来自与产品相关的文本和图像描述的提示,实现在基于网络的商业搜索的上下文中增强了产品描述分类的精度和回收。 几个实现旨在改进那些仅文本方法最不可靠的领域。 例如,在简短的文本产品描述使用与多个不同类别重叠的词汇的情况下,多个实现使用图像信号来补充文本分类器并改进整体产品分类。 其他实现涉及使用文本和图像训练集来改进自动分类器,包括纯文本分类器。 某些实现也针对学习一些三维图像分类器,仅针对混淆文本信号的类别,以改进文本分类最弱的特定区域。
    • 45. 发明授权
    • Invisible junction features for patch recognition
    • 隐形连接点,用于贴片识别
    • US08086038B2
    • 2011-12-27
    • US11776510
    • 2007-07-11
    • Qifa KeJonathan J. Hull
    • Qifa KeJonathan J. Hull
    • G06K9/34G06K9/00
    • G06K9/2054G06K9/00463G06K2209/01
    • The present invention uses invisible junctions which are a set of local features unique to every page of the electronic document to match the captured image to a part of an electronic document. The present invention includes: an image capture device, a feature extraction and recognition system and database. When an electronic document is printed, the feature extraction and recognition system captures an image of the document page. The features in the captured image are then extracted, indexed and stored in the database. Given a query image, usually a small patch of some document page captured by a low resolution image capture device, the features in the query image are extracted and compared against those stored in the database to identify the query image. The present invention also includes methods for feature extraction, feature indexing, feature retrieval and geometric estimation.
    • 本发明使用作为电子文档的每一页特有的一组局部特征的不可见结,以将捕获的图像与电子文档的一部分相匹配。 本发明包括:图像捕获装置,特征提取和识别系统和数据库。 当打印电子文档时,特征提取和识别系统捕获文档页面的图像。 然后将捕获的图像中的特征提取,索引并存储在数据库中。 给定查询图像,通常是由低分辨率图像捕获设备捕获的一些文档页面的小补丁,提取查询图像中的特征并将其与存储在数据库中的特征进行比较以识别查询图像。 本发明还包括用于特征提取,特征索引,特征检索和几何估计的方法。
    • 49. 发明授权
    • Method and apparatus for recovering a three-dimensional scene from two-dimensional images
    • 从二维图像中恢复三维场景的方法和装置
    • US07352386B1
    • 2008-04-01
    • US09338176
    • 1999-06-22
    • Heung-Yeung ShumZhengyou ZhangQifa Ke
    • Heung-Yeung ShumZhengyou ZhangQifa Ke
    • H04N13/00
    • G06T17/00G06T7/246G06T7/579G06T2200/08G06T2207/10016H04N13/221H04N13/261
    • A method and apparatus for recovering a three-dimensional (3D) scene from two-dimensional (2D) images. A sequence of images is divided into a number of smaller segments and a 3D reconstruction is performed on each segment individually. All the reconstructed segments are then combined together through an efficient bundle adjustment to complete the 3D reconstruction. Segmenting may be achieved by dividing the segments based on the number of feature points that are in each frame. The number of frames per segment is reduced by creating virtual key frames. The virtual key frames encode the 3D structure for each segment, but are only a small subset of the original frames in the segment. A final bundle adjustment is performed on the virtual key frames, rather than all of the original frames. Thus, the final bundle adjustment is two orders of magnitude faster than a conventional bundle adjustment.
    • 一种用于从二维(2D)图像中恢复三维(3D)场景的方法和装置。 图像序列被分成多个较小的段,并且对每个段单独执行3D重建。 然后通过有效的束调整将所有重建的段组合在一起以完成3D重建。 可以通过基于每个帧中的特征点的数量来划分段来实现分段。 通过创建虚拟键帧来减少每个段的帧数。 虚拟关键帧对每个段的3D结构进行编码,但只是该段中原始帧的一小部分。 在虚拟关键帧上执行最终的捆绑调整,而不是所有的原始帧。 因此,最终的捆绑调整比常规捆绑调整快两个数量级。