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1. 发明授权

US08971628B2 Face detection using division-generated haar-like features for illumination invariance 有权
标题翻译：使用分割生成的哈尔状特征进行面部检测，用于照明不变性
公开(公告)号：US08971628B2
公开(公告)日：2015-03-03
申请号：US12843805
申请日：2010-07-26
申请人： George Susanu , Dan Filip , Mihnea Gangea
发明人： George Susanu , Dan Filip , Mihnea Gangea
IPC分类号： G06K9/00 , G06K9/46
CPC分类号： G06K9/00228 , G06K9/4642
摘要： Faces in images are quickly detected with minimal memory resource usage. Instead of calculating a Haar-like feature value by subtracting the average pixel intensity value in one rectangular region from the average pixel intensity value in another, adjacent rectangular region, a face-detection system calculates that Haar-like feature value by dividing the average pixel intensity value in one such rectangular region by the average pixel intensity value in the other such adjacent rectangular region. Thus, each Haar-like value is calculated as a ratio of average pixel intensity values rather than as a difference between such average pixel intensity values. The feature values are calculated using this ratio-based technique both during the machine-learning procedure, in which the numerical ranges for features in known face-containing images are learned based on labeled training data, and during the classifier-applying procedure, in which an unlabeled image's feature values are calculated and compared to the previously machine-learned numerical ranges.
摘要翻译：用最少的内存资源使用快速检测图像中的脸部。代替通过从另一个相邻矩形区域中的平均像素强度值减去一个矩形区域中的平均像素强度值来计算哈尔状特征值，面部检测系统通过将平均像素一个这样的矩形区域中的强度值乘以另一个这样的相邻矩形区域中的平均像素强度值。因此，每个Haar样值被计算为平均像素强度值的比率而不是作为这样的平均像素强度值之间的差。在机器学习过程中，使用这种基于比例的技术来计算特征值，其中基于标记的训练数据学习已知的含有脸谱的图像中的特征的数值范围，并且在分类器应用程序期间，计算未标记图像的特征值并将其与之前的机器学习数值范围进行比较。

2. 发明申请

US20120019683A1 Face Detection Using Division-Generated Haar-Like Features For Illumination Invariance 有权
标题翻译：用于照明不变性的分裂Haar样特征的人脸检测
公开(公告)号：US20120019683A1
公开(公告)日：2012-01-26
申请号：US12843805
申请日：2010-07-26
申请人： George Susanu , Dan Filip , Mihnea Gangea
发明人： George Susanu , Dan Filip , Mihnea Gangea
IPC分类号： G06K9/46 , H04N5/228
CPC分类号： G06K9/00228 , G06K9/4642
摘要： Faces in images are quickly detected with minimal memory resource usage. Instead of calculating a Haar-like feature value by subtracting the average pixel intensity value in one rectangular region from the average pixel intensity value in another, adjacent rectangular region, a face-detection system calculates that Haar-like feature value by dividing the average pixel intensity value in one such rectangular region by the average pixel intensity value in the other such adjacent rectangular region. Thus, each Haar-like value is calculated as a ratio of average pixel intensity values rather than as a difference between such average pixel intensity values. The feature values are calculated using this ratio-based technique both during the machine-learning procedure, in which the numerical ranges for features in known face-containing images are learned based on labeled training data, and during the classifier-applying procedure, in which an unlabeled image's feature values are calculated and compared to the previously machine-learned numerical ranges.
摘要翻译：用最少的内存资源使用快速检测图像中的脸部。代替通过从另一个相邻矩形区域中的平均像素强度值减去一个矩形区域中的平均像素强度值来计算哈尔状特征值，面部检测系统通过将平均像素一个这样的矩形区域中的强度值乘以另一个这样的相邻矩形区域中的平均像素强度值。因此，每个Haar样值被计算为平均像素强度值的比率而不是作为这样的平均像素强度值之间的差。在机器学习过程中，使用这种基于比例的技术来计算特征值，其中基于标记的训练数据学习已知的含有脸谱的图像中的特征的数值范围，并且在分类器应用程序期间，计算未标记图像的特征值并将其与之前的机器学习数值范围进行比较。

3. 发明授权

US08692867B2 Object detection and rendering for wide field of view (WFOV) image acquisition systems 有权
标题翻译：用于宽视野（WFOV）图像采集系统的物体检测和渲染
公开(公告)号：US08692867B2
公开(公告)日：2014-04-08
申请号：US12959151
申请日：2010-12-02
申请人： Petronel Bigioi , Alexandru Drimbarean , Mihnea Gangea , Piotr Stec , Peter Corcoran
发明人： Petronel Bigioi , Alexandru Drimbarean , Mihnea Gangea , Piotr Stec , Peter Corcoran
IPC分类号： G02B21/18 , H04N7/00 , G02B21/22
CPC分类号： G02B21/22 , G06K9/6257 , G06T5/006 , G06T2207/30201 , H04N5/23219 , H04N5/23238
摘要： An image acquisition device having a wide field of view includes a lens and image sensor configured to capture an original wide field of view (WFoV) image with a field of view of more than 90°. The device has an object detection engine that includes one or more cascades of object classifiers, e.g., face classifiers. A WFoV correction engine may apply rectilinear and/or cylindrical projections to pixels of the WFoV image, and/or non-linear, rectilinear and/or cylindrical lens elements or lens portions serve to prevent and/or correct distortion within the original WFoV image. One or more objects located within the original and/or distortion-corrected WFoV image is/are detectable by the object detection engine upon application of the one or more cascades of object classifiers.
摘要翻译：具有宽视野的图像采集装置包括：镜头和图像传感器，被配置为捕获具有大于90°的视场的原始宽视野（WFoV）图像。该装置具有对象检测引擎，其包括一个或多个对象分类器级联，例如面部分类器。 WFoV校正引擎可以对WFoV图像的像素施加直线和/或圆柱形投影，和/或非线性直线和/或柱面透镜元件或透镜部分用于防止和/或校正原始WFoV图像内的失真。位于原始和/或失真校正的WFoV图像内的一个或多个对象在应用一个或多个对象分类器级联时可由对象检测引擎检测。

4. 发明授权

US08577097B2 Methods and apparatuses for half-face detection 有权
公开(公告)号：US08577097B2
公开(公告)日：2013-11-05
申请号：US12825280
申请日：2010-06-28
申请人： Stefan Petrescu , Mihnea Gangea
发明人： Stefan Petrescu , Mihnea Gangea
IPC分类号： G06K9/62
摘要： Classifier chains are used to determine quickly and accurately if a window or sub-window of an image contains a right face, a left face, a full face, or does not contain a face. After acquiring a digital image, an integral image is calculated based on the acquired digital image. Left-face classifiers are applied to the integral image to determine the probability that the window contains a left face. Right-face classifiers are applied to the integral image to determine the probability that the window contains a right face. If the probability of the window containing a right face and a left face are both greater than threshold values, then it is determined that the window contains a full face. Alternatively, if only one of the probabilities exceeds a threshold value, then it may be determined that the window contains only a left face or a right face.

5. 发明申请

US20120207358A1 Illumination Detection Using Classifier Chains 审中-公开
标题翻译：使用分类链的照明检测
公开(公告)号：US20120207358A1
公开(公告)日：2012-08-16
申请号：US13351177
申请日：2012-01-16
申请人： Leendert Blonk , Mihnea Gangea , Peter Corcoran
发明人： Leendert Blonk , Mihnea Gangea , Peter Corcoran
IPC分类号： G06K9/62
CPC分类号： G06K9/68 , G06K9/00261 , G06K9/4661 , G06K9/6256
摘要： A face illumination normalization method includes acquiring a digital image including a face that appears to be illuminated unevenly. One or more uneven illumination classifier programs are applied to the face data to determine the presence of the face within the digital image and/or the uneven illumination condition of the face. The uneven illumination condition may be corrected to thereby generate a corrected face image appearing to have more uniform illumination, for example, to enhance face recognition.
摘要翻译：脸部照明归一化方法包括获取包括看起来不均匀照射的脸部的数字图像。将一个或多个不均匀的照明分类程序应用于面部数据以确定面部在数字图像内的存在和/或脸部的不均匀照明状况。可以校正不均匀的照明条件，从而生成看起来具有更均匀照明的校正脸部图像，例如以增强脸部识别。

6. 发明申请

US20100053368A1 FACE TRACKER AND PARTIAL FACE TRACKER FOR RED-EYE FILTER METHOD AND APPARATUS 有权
标题翻译：用于红眼过滤器方法和装置的面部跟踪器和部分面部跟踪器
公开(公告)号：US20100053368A1
公开(公告)日：2010-03-04
申请号：US12551335
申请日：2009-08-31
申请人： Florin Nanu , Stefan Petrescu , Mihnea Gangea , Adrian Capata , Mihai Ciuc , Adrian Zamfir , Peter Corcoran , Alexei Pososin , Petronel Bigioi , Alexandru Drimbarean , Eran Steinberg
发明人： Florin Nanu , Stefan Petrescu , Mihnea Gangea , Adrian Capata , Mihai Ciuc , Adrian Zamfir , Peter Corcoran , Alexei Pososin , Petronel Bigioi , Alexandru Drimbarean , Eran Steinberg
IPC分类号： H04N9/73 , G06K9/00
CPC分类号： G06K9/00248 , G06K9/0061 , G06K9/4614 , G06T5/005 , G06T2207/30216 , H04N1/62 , H04N1/624 , H04N5/23219 , H04N5/23229 , H04N5/2354
摘要： An image acquisition device includes a flash and optical system for capturing digital images. A face tracker identifies face regions within a series of one or more relatively low resolution reference images, and predicts face regions within a main digital image. A face analyzer determines one or more partial face regions within the one or more face regions each including at least one eye. A red-eye filter modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of one or more partial face regions within the one or more face regions identified and predicted by the face tracker.
摘要翻译：图像采集装置包括用于捕捉数字图像的闪光和光学系统。面部跟踪器识别一系列一个或多个相对低分辨率参考图像内的面部区域，并且预测主数字图像内的面部区域。面部分析器确定一个或多个面部区域内的一个或多个部分面部区域，每个面部区域包括至少一个眼睛。红眼滤光器基于由面部追踪器识别和预测的一个或多个面部区域内的一个或多个部分面部区域的分析，修改指示红眼现象的主数字图像内的区域。

7. 发明申请

US20100053367A1 PARTIAL FACE TRACKER FOR RED-EYE FILTER METHOD AND APPARATUS 审中-公开
标题翻译：用于红眼过滤器方法和装置的部分面部跟踪器
公开(公告)号：US20100053367A1
公开(公告)日：2010-03-04
申请号：US12551312
申请日：2009-08-31
申请人： Florin Nanu , Stefan Petrescu , Mihnea Gangea , Adrian Capata , Mihai Ciuc , Adrian Zamfir , Eran Steinberg , Peter Corcoran , Alexei Pososin , Petronel Bigioi , Alexandru Drimbarean
发明人： Florin Nanu , Stefan Petrescu , Mihnea Gangea , Adrian Capata , Mihai Ciuc , Adrian Zamfir , Eran Steinberg , Peter Corcoran , Alexei Pososin , Petronel Bigioi , Alexandru Drimbarean
IPC分类号： H04N9/73 , G06K9/00
CPC分类号： G06K9/00248 , G06K9/0061 , G06K9/4614 , G06T5/005 , G06T7/90 , G06T2207/30216 , H04N1/62 , H04N1/624 , H04N5/232 , H04N5/23219 , H04N5/23222 , H04N5/2354
摘要： An image acquisition device includes a flash and optical system for capturing digital images. A partial face tracker identifies partial face regions within a series of one or more relatively low resolution reference images, and predicts partial face regions within a main digital image. A red-eye filter for modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of the partial face regions identified and predicted by the partial face tracker.
摘要翻译：图像采集装置包括用于捕捉数字图像的闪光和光学系统。部分面部跟踪器识别一系列一个或多个相对低分辨率参考图像内的部分面部区域，并且预测主数字图像内的部分面部区域。一种红眼滤波器，用于基于由部分面部追踪器识别和预测的部分面部区域的分析来修改主数字图像内指示红眼现象的区域。

8. 发明申请

US20080267461A1 REAL-TIME FACE TRACKING IN A DIGITAL IMAGE ACQUISITION DEVICE 有权
标题翻译：数字图像采集设备中的实时跟踪
公开(公告)号：US20080267461A1
公开(公告)日：2008-10-30
申请号：US12167500
申请日：2008-07-03
申请人： Mihai Ianculescu , Petronel Bigioi , Mihnea Gangea , Stefan Petrescu , Peter Corcoran , Eran Steinberg
发明人： Mihai Ianculescu , Petronel Bigioi , Mihnea Gangea , Stefan Petrescu , Peter Corcoran , Eran Steinberg
IPC分类号： G06K9/46
CPC分类号： G06K9/00 , G06K9/00228 , G06K9/00234 , G06K9/00261 , G06K9/6257 , G06K9/6857 , H04N1/2112 , H04N1/32112 , H04N1/32128 , H04N5/232 , H04N5/23219 , H04N2101/00 , H04N2201/0084 , H04N2201/3205
摘要： A database includes an identifier and associated parameters for each of a number of faces to be recognized. A new acquired image from an image stream is received potentially including one or more face regions. Face detection is applied to at least a portion of the acquired image to provide a set of candidate face regions each having a given size and a respective location. Using the database, face recognition is selectively applied to at least one of the candidate face regions to provide an identifier for a face recognized in a candidate face region. A portion of the image is stored including the recognized face in association with at least one image of the image stream.
摘要翻译：数据库包括用于要识别的多个面部中的每一个的标识符和相关参数。来自图像流的新获取的图像可能包括一个或多个面部区域。面部检测被应用于所获取的图像的至少一部分，以提供每个具有给定大小和相应位置的一组候选面部区域。使用数据库，选择性地将面部识别应用于候选面部区域中的至少一个，以提供在候选面部区域中识别的脸部的标识符。存储图像的一部分，其包括与图像流的至少一个图像相关联的识别的脸部。

9. 发明授权

US08605955B2 Methods and apparatuses for half-face detection 有权
标题翻译：用于半脸部检测的方法和装置
公开(公告)号：US08605955B2
公开(公告)日：2013-12-10
申请号：US12825280
申请日：2010-06-28
申请人： Stefan Petrescu , Mihnea Gangea
发明人： Stefan Petrescu , Mihnea Gangea
IPC分类号： G06K9/62
CPC分类号： G06K9/00248 , G06K9/4614 , G06K9/6256 , H04N5/23219
摘要： Classifier chains are used to determine quickly and accurately if a window or sub-window of an image contains a right face, a left face, a full face, or does not contain a face. After acquiring a digital image, an integral image is calculated based on the acquired digital image. Left-face classifiers are applied to the integral image to determine the probability that the window contains a left face. Right-face classifiers are applied to the integral image to determine the probability that the window contains a right face. If the probability of the window containing a right face and a left face are both greater than threshold values, then it is determined that the window contains a full face. Alternatively, if only one of the probabilities exceeds a threshold value, then it may be determined that the window contains only a left face or a right face.
摘要翻译：分类器链用于快速准确地确定图像的窗口或子窗口是否包含右脸，左脸，全脸或不包含脸部。在获取数字图像之后，基于获取的数字图像计算积分图像。左面分类器应用于积分图像以确定窗口包含左脸的概率。将右脸分类器应用于积分图像，以确定窗口包含右脸的概率。如果包含右脸和左脸的窗口的概率都大于阈值，则确定该窗口包含全脸。或者，如果只有一个概率超过阈值，则可以确定窗口仅包含左脸或右脸。

10. 发明授权

US08520093B2 Face tracker and partial face tracker for red-eye filter method and apparatus 有权
标题翻译：面部跟踪器和部分脸部跟踪器用于红眼滤波器的方法和装置
公开(公告)号：US08520093B2
公开(公告)日：2013-08-27
申请号：US12551335
申请日：2009-08-31
申请人： Florin Nanu , Eran Steinberg , Peter Corcoran , Alexei Pososin , Petronel Bigioi , Alexandru Drimbarean , Stefan Petrescu , Mihnea Gangea , Adrian Capata , Mihai Ciuc , Adrian Zamfir
发明人： Florin Nanu , Eran Steinberg , Peter Corcoran , Alexei Pososin , Petronel Bigioi , Alexandru Drimbarean , Stefan Petrescu , Mihnea Gangea , Adrian Capata , Mihai Ciuc , Adrian Zamfir
IPC分类号： H04N9/73
CPC分类号： G06K9/00248 , G06K9/0061 , G06K9/4614 , G06T5/005 , G06T2207/30216 , H04N1/62 , H04N1/624 , H04N5/23219 , H04N5/23229 , H04N5/2354
摘要： An image acquisition device includes a flash and optical system for capturing digital images. A face tracker identifies face regions within a series of one or more relatively low resolution reference images, and predicts face regions within a main digital image. A face analyzer determines one or more partial face regions within the one or more face regions each including at least one eye. A red-eye filter modifies an area within the main digital image indicative of a red-eye phenomenon based on an analysis of one or more partial face regions within the one or more face regions identified and predicted by the face tracker.
摘要翻译：图像采集装置包括用于捕捉数字图像的闪光和光学系统。面部跟踪器识别一系列一个或多个相对低分辨率参考图像内的面部区域，并且预测主数字图像内的面部区域。面部分析器确定一个或多个面部区域内的一个或多个部分面部区域，每个面部区域包括至少一个眼睛。红眼滤光器基于由面部追踪器识别和预测的一个或多个面部区域内的一个或多个部分面部区域的分析，修改指示红眼现象的主数字图像内的区域。

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