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    • 35. 发明授权
    • Method for traffic sign detection
    • 交通标志检测方法
    • US07466841B2
    • 2008-12-16
    • US11109106
    • 2005-04-19
    • Claus BahlmannYing ZhuVisvanathan RameshMartin PellkoferThorsten Köhler
    • Claus BahlmannYing ZhuVisvanathan RameshMartin PellkoferThorsten Köhler
    • G06K9/00
    • G06K9/00818G06K9/4633G06K9/4652
    • A method for detecting and recognizing at least one traffic sign is disclosed. A video sequence having a plurality of image frames is received. One or more filters are used to measure features in at least one image frame indicative of an object of interest. The measured features are combined and aggregated into a score indicating possible presence of an object. The scores are fused over multiple image frames for a robust detection. If a score indicates possible presence of an object in an area of the image frame, the area is aligned with a model. A determination is then made as to whether the area indicates a traffic sign. If the area indicates a traffic sign, the area is classified into a particular type of traffic sign. The present invention is also directed to training a system to detect and recognize traffic signs.
    • 公开了一种用于检测和识别至少一个交通标志的方法。 接收具有多个图像帧的视频序列。 使用一个或多个过滤器来测量指示感兴趣对象的至少一个图像帧中的特征。 测量的特征被组合并聚合成表示对象可能存在的分数。 分数融合在多个图像帧上以进行鲁棒检测。 如果分数表示在图像帧的区域中可能存在对象,则该区域与模型对齐。 然后确定该区域是否指示交通标志。 如果该区域指示交通标志,该区域被分类为特定类型的交通标志。 本发明还涉及训练用于检测和识别交通标志的系统。
    • 37. 发明申请
    • Method for traffic sign detection
    • 交通标志检测方法
    • US20060034484A1
    • 2006-02-16
    • US11109106
    • 2005-04-19
    • Claus BahlmannYing ZhuVisvanathan RameshMartin PellkoferThorsten Kohler
    • Claus BahlmannYing ZhuVisvanathan RameshMartin PellkoferThorsten Kohler
    • G06K9/00
    • G06K9/00818G06K9/4633G06K9/4652
    • A method for detecting and recognizing at least one traffic sign is disclosed. A video sequence having a plurality of image frames is received. One or more filters are used to measure features in at least one image frame indicative of an object of interest. The measured features are combined and aggregated into a score indicating possible presence of an object. The scores are fused over multiple image frames for a robust detection. If a score indicates possible presence of an object in an area of the image frame, the area is aligned with a model. A determination is then made as to whether the area indicates a traffic sign. If the area indicates a traffic sign, the area is classified into a particular type of traffic sign. The present invention is also directed to training a system to detect and recognize traffic signs.
    • 公开了一种用于检测和识别至少一个交通标志的方法。 接收具有多个图像帧的视频序列。 使用一个或多个过滤器来测量指示感兴趣对象的至少一个图像帧中的特征。 测量的特征被组合并聚合成表示对象可能存在的分数。 分数融合在多个图像帧上以进行鲁棒检测。 如果分数表示在图像帧的区域中可能存在对象,则该区域与模型对齐。 然后确定该区域是否指示交通标志。 如果该区域指示交通标志,该区域被分类为特定类型的交通标志。 本发明还涉及训练用于检测和识别交通标志的系统。
    • 39. 发明申请
    • Deformable Motion Correction for Stent Visibility Enhancement
    • 用于支架可见度增强的可变形运动校正
    • US20120140998A1
    • 2012-06-07
    • US13277312
    • 2011-10-20
    • Ying ZhuChristophe Chefd'hotel
    • Ying ZhuChristophe Chefd'hotel
    • G06K9/00
    • G06T5/006G06T7/194G06T2207/10081G06T2207/10121G06T2207/10132G06T2207/30021G06T2207/30101G06T2207/30204
    • A method for enhancing stent visibility includes acquiring a set of image frames including multiple test frames. A set of measurement points uniformly distributed within an image of a stent is defined in the test frames. A local image context is defined around each measurement point. A non-rigid deformation field relating the local image contexts of the test frames to local image contexts of a reference image is calculated. The non-rigid deformation field is optimized by maximizing a similarity function between the local image contexts of the test frames and the local image contexts of the reference image. The optimized non-rigid deformation field is used to deform images of a stent in the multiple test frames and combine the non-rigidly deformed images of the stent from the test frames. An image frame with the combined image of the stents superimposed thereon is displayed.
    • 一种用于增强支架可见度的方法包括获取包括多个测试框架的一组图像帧。 在测试框架中定义了在支架的图像内均匀分布的一组测量点。 在每个测量点周围定义一个局部图像上下文。 计算将测试帧的局部图像上下文与参考图像的局部图像上下文相关联的非刚性变形场。 通过最大化测试帧的局部图像上下文与参考图像的局部图像上下文之间的相似度函数来优化非刚性变形场。 优化的非刚性变形场用于在多个测试框架中变形支架的图像,并将来自测试框架的支架的非刚性变形图像组合。 显示具有叠加在其上的支架的组合图像的图像帧。