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    • 1. 发明申请
    • Method and Component for Image Recognition
    • 图像识别的方法和组件
    • US20100202707A1
    • 2010-08-12
    • US12764650
    • 2010-04-21
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • G06K9/62
    • G06F17/30259G06K9/00221G06K9/00677
    • A method and system for image recognition in a collection of digital images includes training image classifiers and retrieving a sub-set of images from the collection. For each image in the collection, any regions within the image that correspond to a face are identified. For each face region and any associated peripheral region, feature vectors are determined for each of the image classifiers. The feature vectors are stored in association with data relating to the associated face region. At least one reference region including a face to be recognized is/are selected from an image. At least one classifier on which said retrieval is to be based is/are selected from the image classifiers. A respective feature vector for each selected classifier is determined for the reference region. The sub-set of images is retrieved from within the image collection in accordance with the distance between the feature vectors determined for the reference region and the feature vectors for face regions of the image collection.
    • 用于数字图像集合中的图像识别的方法和系统包括训练图像分类器和从集合中检索图像的子集。 对于集合中的每个图像,识别与图像对应的图像内的任何区域。 对于每个面部区域和任何相关联的外围区域,为每个图像分类器确定特征向量。 特征向量与关于相关联的面部区域的数据相关联地存储。 从图像中选择包括要识别的面部的至少一个参考区域。 从图像分类器中选择至少一个所述检索所基于的分类器。 针对参考区域确定每个所选分类器的相应特征向量。 根据为参考区域确定的特征向量与图像集合的面部区域的特征向量之间的距离,从图像集合内检索图像的子集。
    • 2. 发明授权
    • Method and component for image recognition
    • 图像识别方法和组件
    • US08335355B2
    • 2012-12-18
    • US12764650
    • 2010-04-21
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • G06K9/00G06K9/62
    • G06F17/30259G06K9/00221G06K9/00677
    • A method and system for image recognition in a collection of digital images includes training image classifiers and retrieving a sub-set of images from the collection. For each image in the collection, any regions within the image that correspond to a face are identified. For each face region and any associated peripheral region, feature vectors are determined for each of the image classifiers. The feature vectors are stored in association with data relating to the associated face region. At least one reference region including a face to be recognized is/are selected from an image. At least one classifier on which said retrieval is to be based is/are selected from the image classifiers. A respective feature vector for each selected classifier is determined for the reference region. The sub-set of images is retrieved from within the image collection in accordance with the distance between the feature vectors determined for the reference region and the feature vectors for face regions of the image collection.
    • 用于数字图像集合中的图像识别的方法和系统包括训练图像分类器和从集合中检索图像的子集。 对于集合中的每个图像,识别与图像对应的图像内的任何区域。 对于每个面部区域和任何相关联的外围区域,为每个图像分类器确定特征向量。 特征向量与关于相关联的面部区域的数据相关联地存储。 从图像中选择包括要识别的面部的至少一个参考区域。 从图像分类器中选择至少一个所述检索所基于的分类器。 针对参考区域确定每个所选分类器的相应特征向量。 根据为参考区域确定的特征向量与图像集合的面部区域的特征向量之间的距离,从图像集合内检索图像的子集。
    • 3. 发明授权
    • Method and component for image recognition
    • 图像识别方法和组件
    • US07715597B2
    • 2010-05-11
    • US11027001
    • 2004-12-29
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • G06K9/00G06K9/62
    • G06F17/30259G06K9/00221G06K9/00677
    • A method and system for image recognition in a collection of digital images includes training image classifiers and retrieving a sub-set of images from the collection. For each image in the collection, any regions within the image that correspond to a face are identified. For each face region and any associated peripheral region, feature vectors are determined for each of the image classifiers. The feature vectors are stored in association with data relating to the associated face region. At least one reference region including a face to be recognized is/are selected from an image. At least one classifier on which said retrieval is to be based is/are selected from the image classifiers. A respective feature vector for each selected classifier is determined for the reference region. The sub-set of images is retrieved from within the image collection in accordance with the distance between the feature vectors determined for the reference region and the feature vectors for face regions of the image collection.
    • 用于数字图像集合中的图像识别的方法和系统包括训练图像分类器和从集合中检索图像的子集。 对于集合中的每个图像,识别与图像对应的图像内的任何区域。 对于每个面部区域和任何相关联的外围区域,为每个图像分类器确定特征向量。 特征向量与关于相关联的面部区域的数据相关联地存储。 从图像中选择包括要识别的面部的至少一个参考区域。 从图像分类器中选择至少一个所述检索所基于的分类器。 针对参考区域确定每个所选分类器的相应特征向量。 根据为参考区域确定的特征向量与图像集合的面部区域的特征向量之间的距离,从图像集合内检索图像的子集。
    • 4. 发明申请
    • Method and component for image recognition
    • 图像识别方法和组件
    • US20060140455A1
    • 2006-06-29
    • US11027001
    • 2004-12-29
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • Gabriel CostachePeter CorcoranRhys MulryanEran Steinberg
    • G06K9/00G06K9/62
    • G06F17/30259G06K9/00221G06K9/00677
    • A method and system for image recognition in a collection of digital images includes training image classifiers and retrieving a sub-set of images from the collection. For each image in the collection, any regions within the image that correspond to a face are identified. For each face region and any associated peripheral region, feature vectors are determined for each of the image classifiers. The feature vectors are stored in association with data relating to the associated face region. At least one reference region including a face to be recognized is/are selected from an image. At least one classifier on which said retrieval is to be based is/are selected from the image classifiers. A respective feature vector for each selected classifier is determined for the reference region. The sub-set of images is retrieved from within the image collection in accordance with the distance between the feature vectors determined for the reference region and the feature vectors for face regions of the image collection.
    • 用于数字图像集合中的图像识别的方法和系统包括训练图像分类器和从集合中检索图像的子集。 对于集合中的每个图像,识别与图像对应的图像内的任何区域。 对于每个面部区域和任何相关联的外围区域,为每个图像分类器确定特征向量。 特征向量与关于相关联的面部区域的数据相关联地存储。 从图像中选择包括要识别的面部的至少一个参考区域。 从图像分类器中选择至少一个所述检索所基于的分类器。 针对参考区域确定每个所选分类器的相应特征向量。 根据为参考区域确定的特征向量与图像集合的面部区域的特征向量之间的距离,从图像集合内检索图像的子集。
    • 7. 发明授权
    • Face recognition performance using additional image features
    • 使用附加图像功能的人脸识别性能
    • US08379917B2
    • 2013-02-19
    • US12572930
    • 2009-10-02
    • Petronel BigioiGabriel CostacheAlexandru DrimbareanPeter Corcoran
    • Petronel BigioiGabriel CostacheAlexandru DrimbareanPeter Corcoran
    • G06K9/00
    • G06K9/00295G06K9/00248G06K9/00261G06K9/4604
    • A technique is provided for recognizing faces in an image stream using a digital image acquisition device. A first acquired image is received from an image stream. A first face region is detected within the first acquired image having a given size and a respective location within the first acquired image. First faceprint data uniquely identifying the first face region are extracted along with first peripheral region data around the first face region. The first faceprint and peripheral region data are stored, and the first peripheral region data are associated with the first face region. The first face region is tracked until a face lock is lost. A second face region is detected within a second acquired image from the image stream. Second peripheral region data around the second face region are extracted. The second face region is identified upon matching the first and second peripheral region data.
    • 提供了使用数字图像采集装置识别图像流中的面部的技术。 从图像流接收第一获取的图像。 在具有给定尺寸的第一获取图像内检测到第一面部区域和在第一获取图像内的相应位置。 与第一面部区域周围的第一周围区域数据一起提取唯一地识别第一面部区域的第一面部印刷数据。 存储第一面印和外围区域数据,并且第一周边区域数据与第一面部区域相关联。 跟踪第一个脸部区域,直到脸部锁定丢失。 在来自图像流的第二获取图像内检测第二面部区域。 提取围绕第二面部区域的第二周边区域数据。 在匹配第一和第二外围区域数据时识别第二面部区域。
    • 8. 发明申请
    • FACE RECOGNITION PERFORMANCE USING ADDITIONAL IMAGE FEATURES
    • 使用附加图像特征的脸部识别性能
    • US20110081052A1
    • 2011-04-07
    • US12572930
    • 2009-10-02
    • Petronel BigioiGabriel CostacheAlexandru DrimbareanPeter Corcoran
    • Petronel BigioiGabriel CostacheAlexandru DrimbareanPeter Corcoran
    • G06K9/00
    • G06K9/00295G06K9/00248G06K9/00261G06K9/4604
    • A technique is provided for recognizing faces in an image stream using a digital image acquisition device. A first acquired image is received from an image stream. A first face region is detected within the first acquired image having a given size and a respective location within the first acquired image. First faceprint data uniquely identifying the first face region are extracted along with first peripheral region data around the first face region. The first faceprint and peripheral region data are stored, and the first peripheral region data are associated with the first face region. The first face region is tracked until a face lock is lost. A second face region is detected within a second acquired image from the image stream. Second peripheral region data around the second face region are extracted. The second face region is identified upon matching the first and second peripheral region data.
    • 提供了使用数字图像采集装置识别图像流中的面部的技术。 从图像流接收第一获取的图像。 在具有给定尺寸的第一获取图像内检测到第一面部区域和在第一获取图像内的相应位置。 与第一面部区域周围的第一周围区域数据一起提取唯一地识别第一面部区域的第一面部印刷数据。 存储第一面印和外围区域数据,并且第一周边区域数据与第一面部区域相关联。 跟踪第一个脸部区域,直到脸部锁定丢失。 在来自图像流的第二获取图像内检测第二面部区域。 提取围绕第二面部区域的第二周边区域数据。 在匹配第一和第二外围区域数据时识别第二面部区域。