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公开(公告)号：US09111349B2
公开(公告)日：2015-08-18
申请号：US13328133
申请日：2011-12-16
申请人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
发明人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
CPC分类号： G06K9/00214 , G06K9/00785 , G06T7/564 , G06T2207/30236
摘要： The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.
摘要翻译： 所要求保护的主题提供用于通过创建每个期望实例的3D曲线模型的数据库来识别2D图像中感兴趣对象的实例的系统和/或方法，并将感兴趣对象的图像与3D图像的3D曲线模型进行比较 实例。 本申请描述了从可能单个图像中识别和验证汽车的品牌和型号 - 在模型已经填充有许多车型和车型的测试图像的训练数据之后。 在一个实施例中，识别系统可以通过通过将边缘点反向投影到实例的轮廓的视觉船体重建上来生成3D曲线模型来构造。 系统和方法采用倒角距离和取向距离提供合理的验证性能，以及汽车尾灯的外观模型，以提高系统的鲁棒性。
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公开(公告)号：US20130156329A1
公开(公告)日：2013-06-20
申请号：US13328133
申请日：2011-12-16
申请人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
发明人： Richard Stephan Szeliski , Edward Hsiao , Sudipta Narayan Sinha , Krishnan Ramnath , Charles Lawrence Zitnick, III , Simon John Baker
CPC分类号： G06K9/00214 , G06K9/00785 , G06T7/564 , G06T2207/30236
摘要： The claimed subject matter provides for systems and/or methods for identification of instances of an object of interest in 2D images by creating a database of 3D curve models of each desired instance and comparing an image of an object of interest against such 3D curve models of instances. The present application describes identifying and verifying the make and model of a car from a possibly single image—after the models have been populated with training data of test images of many makes and models of cars. In one embodiment, an identification system may be constructed by generating a 3D curve model by back-projecting edge points onto a visual hull reconstruction from silhouettes of an instance. The system and methods employ chamfer distance and orientation distance provides reasonable verification performance, as well as an appearance model for the taillights of the car to increase the robustness of the system.
摘要翻译： 所要求保护的主题提供用于通过创建每个期望实例的3D曲线模型的数据库来识别2D图像中感兴趣对象的实例的系统和/或方法，并将感兴趣对象的图像与3D图像的3D曲线模型进行比较 实例。 本申请描述了从可能单个图像中识别和验证汽车的品牌和型号 - 在模型已经填充有许多车型和车型的测试图像的训练数据之后。 在一个实施例中，识别系统可以通过通过将边缘点反向投影到实例的轮廓的视觉船体重建上来生成3D曲线模型来构造。 系统和方法采用倒角距离和取向距离提供合理的验证性能，以及汽车尾灯的外观模型，以提高系统的鲁棒性。
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