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51. 发明授权

US07885455B2 Method of combining images of multiple resolutions to produce an enhanced active appearance model 有权
标题翻译：组合多个分辨率图像以产生增强的活动外观模型的方法
公开(公告)号：US07885455B2
公开(公告)日：2011-02-08
申请号：US11650213
申请日：2007-01-05
申请人： Xiaoming Liu , Frederick Wilson Wheeler , Peter Henry Tu
发明人： Xiaoming Liu , Frederick Wilson Wheeler , Peter Henry Tu
IPC分类号： G06K9/62 , G06K9/48 , G06K9/68
CPC分类号： G06K9/621 , G06K9/00281
摘要： A method of producing an enhanced Active Appearance Model (AAM) by combining images of multiple resolutions is described herein. The method generally includes processing a plurality of images each having image landmarks and each image having an original resolution level. The images are down-sampled into multiple scales of reduced resolution levels. The AAM is trained for each image at each reduced resolution level, thereby creating a multi-resolution AAM. An enhancement technique is then used to refine the image landmarks for training the AAM at the original resolution level. The landmarks for training the AAM at each level of reduced resolution is obtained by scaling the landmarks used at the original resolution level by a ratio in accordance with the multiple scales.
摘要翻译：本文描述了通过组合多个分辨率的图像来生成增强的活动外观模型（AAM）的方法。该方法通常包括处理多个具有图像界标的图像，并且每个图像具有原始分辨率级别。图像被下采样成分辨率降低的多个尺度。在每个降低的分辨率级别对每个图像训练AAM，从而创建多分辨率AAM。然后使用增强技术来改善用于以原始分辨率级别训练AAM的图像界标。通过将原始分辨率级别使用的地标按照多个尺度的比例进行缩放，可以获得在每个降低分辨率级别下对AAM进行训练的地标。

52. 发明授权

US07848548B1 Method and system for robust demographic classification using pose independent model from sequence of face images 有权
标题翻译：使用姿态独立模型从人脸图像序列中进行鲁棒人口统计分类的方法和系统
公开(公告)号：US07848548B1
公开(公告)日：2010-12-07
申请号：US11811614
申请日：2007-06-11
申请人： Hankyu Moon , Satish Mummareddy , Rajeev Sharma
发明人： Hankyu Moon , Satish Mummareddy , Rajeev Sharma
IPC分类号： G06K9/00
CPC分类号： G06K9/00288 , G06K9/00281 , G06K9/621 , G06K9/6255 , G06K9/68 , G06K2009/00322
摘要： The invention provides a face-based automatic demographics classification system that is robust to pose changes of the target faces and to accidental scene variables, by using a pose-independent facial image representation which comprises multiple pose-dependent facial appearance models. Given a sequence of people's faces in a scene, the two-dimensional variations are estimated and corrected using a novel machine learning based method. We estimate the three-dimensional pose of the people, using a machine learning based approach. The face tracking module keeps the identity of the person using geometric and appearance cues, where multiple appearance models are built based on the poses of the faces. Each separately built pose-dependent facial appearance model is fed to the demographics classifier, which is trained using only the faces having the corresponding pose. The classification scores from the set of pose-dependent classifiers are aggregated to determine the final face category, such as gender, age, and ethnicity.
摘要翻译：本发明提供了一种基于脸部的自动人口统计分类系统，其通过使用包括多个姿势相关的面部外观模型的姿势无关的面部图像表示来鲁棒地构成目标面部和意外场景变量的变化。给定场景中的一系列人脸，使用新颖的基于机器学习的方法来估计和校正二维变化。我们使用基于机器学习的方法来估计人的三维姿态。脸部跟踪模块使用几何和外观线索保持人的身份，其中基于面部姿态构建多个外观模型。每个单独构建的姿势相关的面部外观模型被馈送到人口统计分类器，其仅使用具有相应姿态的面进行训练。来自一组依赖于姿势的分类器的分类分数被聚合以确定最终的面部类别，例如性别，年龄和种族。

53. 发明授权

US07831078B2 System and method for statistical shape model based segmentation of intravascular ultrasound and optical coherence tomography images 有权
标题翻译：用于基于统计形态模型的血管内超声和光学相干断层扫描图像分割的系统和方法
公开(公告)号：US07831078B2
公开(公告)日：2010-11-09
申请号：US11779413
申请日：2007-07-18
申请人： Gozde Unal , Susann Bucher , Gregory G. Slabaugh , Tong Fang
发明人： Gozde Unal , Susann Bucher , Gregory G. Slabaugh , Tong Fang
IPC分类号： G06K9/00
CPC分类号： G06K9/621 , G06K2209/05 , G06T7/12 , G06T7/149 , G06T7/174 , G06T2207/10081 , G06T2207/10132 , G06T2207/30101 , Y10S128/922
摘要： A method for segmenting intravascular images includes acquiring a series of digitized images acquired from inside a vessel, each said image comprising a plurality of intensities corresponding to a 2-dimensional grid of pixels, providing a precomputed set of shapes for modeling contours of vessel wall boundaries, wherein a contour can be expressed as a sum of a mean shape and a inner product of shape modes and shape weights, initializing a boundary contour for one of said set of images, initializing said shape weights by projecting a contour into said shape modes, updating said shape weights from differential equations of said shape weights, and computing a contour by summing said mean shape and said inner product of shape modes and updated shape weights.
摘要翻译：用于分割血管内图像的方法包括获取从血管内获取的一系列数字化图像，每个所述图像包括对应于像素的二维网格的多个强度，提供用于建模血管壁边界的轮廓的预先计算的一组形状其中轮廓可以表示为平均形状和形状模式和形状权重的内积的和，初始化所述图像集合中的一个图像的边界轮廓，通过将轮廓投影到所述形状模式中来初始化所述形状权重，从所述形状权重的微分方程更新所述形状权重，以及通过将所述平均形状和形状模式的内积与更新的形状权重相加来计算轮廓。

54. 发明申请

US20100214289A1 Subdivision Weighting for Robust Object Model Fitting 有权
标题翻译：鲁棒对象模型拟合的细分权重
公开(公告)号：US20100214289A1
公开(公告)日：2010-08-26
申请号：US12392840
申请日：2009-02-25
申请人： Jing Xiao , Derek Shiell
发明人： Jing Xiao , Derek Shiell
IPC分类号： G06T17/00
CPC分类号： G06T17/20 , G06K9/00281 , G06K9/621
摘要： Aspects of the present invention include systems and methods for forming generative models, for utilizing those models, or both. In embodiments, an object model fitting system can be developed comprising a 3D active appearance model (AAM) model. The 3D AAM comprises an appearance model comprising a set of subcomponent appearance models that is constrained by a 3D shape model. In embodiments, the 3D AAM may be generated using a balanced set of training images. The object model fitting system may further comprise one or more manifold constraints, one or more weighting factors, or both. Applications of the present invention include, but are not limited to, modeling and/or fitting face images, although the teachings of the present invention can be applied to modeling/fitting other objects.
摘要翻译：本发明的方面包括用于形成生成模型的系统和方法，用于利用这些模型或两者。在实施例中，可以开发包括3D活动外观模型（AAM）模型的对象模型拟合系统。 3D AAM包括由3D形状模型约束的一组子组件外观模型的外观模型。在实施例中，可以使用平衡的训练图像集来生成3D AAM。对象模型拟合系统还可以包括一个或多个歧管约束，一个或多个加权因子，或两者。本发明的应用包括但不限于建模和/或配合面部图像，尽管本发明的教导可以应用于建模/拟合其他对象。

55. 发明申请

US20100202696A1 IMAGE PROCESSING APPARATUS FOR DETECTING COORDINATE POSITION OF CHARACTERISTIC PORTION OF FACE 审中-公开
标题翻译：用于检测面部特征部分坐标位置的图像处理装置
公开(公告)号：US20100202696A1
公开(公告)日：2010-08-12
申请号：US12699771
申请日：2010-02-03
申请人： Masaya Usui , Kenji Matsuzaka
发明人： Masaya Usui , Kenji Matsuzaka
IPC分类号： G06K9/46
CPC分类号： G06K9/621 , G06K9/00248 , G06K9/00308 , G06T7/75 , G06T2207/30201
摘要： Image processing apparatus and methods are provided for detecting coordinate positions of characteristic portions of a face image. A method includes identifying a face area of the target image, determining initial coordinate positions for characteristic portions, selecting at least one characteristic amount used for correcting the initial coordinate positions or previously generated corrected coordinate positions, determining corrected coordinate positions by using the selected at least one characteristic amount, and detecting the corrected coordinate positions as the coordinate positions.
摘要翻译：提供图像处理装置和方法，用于检测脸部图像的特征部分的坐标位置。一种方法包括识别目标图像的面部区域，确定特征部分的初始坐标位置，选择用于校正初始坐标位置的至少一个特征量或先前产生的校正坐标位置，通过使用所选择的至少一个来确定校正的坐标位置一个特征量，并且检测校正的坐标位置作为坐标位置。

56. 发明申请

US20100183228A1 SPECIFYING POSITION OF CHARACTERISTIC PORTION OF FACE IMAGE 审中-公开
标题翻译：指定脸部特征部位的位置
公开(公告)号：US20100183228A1
公开(公告)日：2010-07-22
申请号：US12690037
申请日：2010-01-19
申请人： Kenji Matsuzaka , Masaya Usui
发明人： Kenji Matsuzaka , Masaya Usui
IPC分类号： G06K9/46
CPC分类号： G06K9/00248 , G06K9/621
摘要： Image processing apparatus and methods are provided for specifying the positions of predetermined characteristic portions of a face image. A method includes determining an initial disposition of characteristic points in a target face image, applying a transformation to at least one of the target face image or the reference face image, and updating the disposition of the characteristic points in response to a comparison between at least one of the transformed target face image and the reference face image or the target face image and the transformed reference face image.
摘要翻译：提供图像处理装置和方法，用于指定面部图像的预定特征部分的位置。一种方法包括：确定目标面部图像中的特征点的初始处置，将变换应用于目标面部图像或参照面部图像中的至少一个，以及响应于至少一个比较来更新特征点的处理转换后的目标人脸图像和参照面部图像或目标脸部图像和变换后的基准面部图像之一。

57. 发明授权

US07565073B2 Photography apparatus, photography method, and photography program for obtaining an image of a subject 有权
标题翻译：用于获得被摄体图像的摄影装置，摄影方法和摄影程序
公开(公告)号：US07565073B2
公开(公告)日：2009-07-21
申请号：US11434171
申请日：2006-05-16
申请人： Hirokazu Kameyama , Wataru Ito
发明人： Hirokazu Kameyama , Wataru Ito
IPC分类号： G03B13/34 , H04N5/262 , H04N5/235
CPC分类号： H04N5/2351 , G06K9/00248 , G06K9/621 , H04N5/23219
摘要： An exposure value is determined based on a face region, with high accuracy and with less effect of a background region or density contrast caused by shadow. For this purpose, a face detection unit detects a face region from a face candidate region in a through image detected by a face candidate detection unit, by fitting to the face candidate region a mathematical model generated by a method of AAM using a plurality of sample images representing human faces. An exposure value determination unit then determines an exposure value for photography, based on the face region.
摘要翻译：基于面部区域，以高精度确定曝光值，并且对背景区域或由阴影引起的浓度对比度的影响较小。为此，面部检测单元通过使用多个样本将通过AAM的方法生成的数学模型拟合到面部候选区域来检测由面部候选检测单元检测到的通过图像中的面部候选区域的面部区域代表人脸的图像。然后，曝光值确定单元基于面部区域来确定用于摄影的曝光值。

58. 发明申请

US20080310759A1 GENERIC FACE ALIGNMENT VIA BOOSTING 有权
标题翻译：一般面对面通过升压
公开(公告)号：US20080310759A1
公开(公告)日：2008-12-18
申请号：US12056051
申请日：2008-03-26
申请人： Xiaoming Liu , Peter Henry Tu , Frederick Wilson Wheeler
发明人： Xiaoming Liu , Peter Henry Tu , Frederick Wilson Wheeler
IPC分类号： G06K9/32
CPC分类号： G06K9/00241 , G06K9/621
摘要： There is provided a discriminative framework for image alignment. Image alignment is generally the process of moving and deforming a template to minimize the distance between the template and an image. There are essentially three elements to image alignment, namely template representation, distance metric, and optimization method. For template representation, given a face dataset with ground truth landmarks, a boosting-based classifier is trained that is able to learn the decision boundary between two classes-the warped images from ground truth landmarks (e.g., positive class) and those from perturbed landmarks (e.g., negative class). A set of trained weak classifiers based on Haar-like rectangular features determines a boosted appearance model. A distance metric is a score from the strong classifier, and image alignment is the process of optimizing (e.g., maximizing) the classification score. On the generic face alignment problem, the proposed framework greatly improves the robustness, accuracy, and efficiency of alignment.
摘要翻译：提供了一种用于图像对齐的辨别框架。图像对齐通常是移动和变形模板的过程，以最小化模板和图像之间的距离。图像对齐基本上有三个要素，即模板表示，距离度量和优化方法。对于模板表示，给定一个具有地面真实地标的面部数据集，训练有素的分类器能够学习两个类之间的决策边界 - 来自地面真实地标（例如，积极的类）和来自扰动地标的变形图像（例如负面班）。基于哈尔式矩形特征的一组经过训练的弱分类器决定了外观模型的提升。距离度量是来自强分类器的分数，图像对准是优化（例如，最大化）分类分数的过程。在通用面对齐问题上，提出的框架大大提高了对齐的鲁棒性，准确性和效率。

59. 发明申请

US20070269111A1 SHAPE DETECTION USING COHERENT APPEARANCE MODELING 有权
标题翻译：使用相似外观建模的形状检测
公开(公告)号：US20070269111A1
公开(公告)日：2007-11-22
申请号：US11383503
申请日：2006-05-16
申请人： Mark R. Bolin , Peter O. Stubler
发明人： Mark R. Bolin , Peter O. Stubler
IPC分类号： G06K9/46
CPC分类号： G06K9/621 , G06K9/00281
摘要： A method of finding an object in an image that consists of describing an object shape by one or more sets of feature points (220); estimating positions of the feature points (310); finding new locations for each feature point based on an appearance model of an aggregate appearance of the object in local neighborhoods of all features points (320); and constraining the positions of the feature points based on a shape model (330).
摘要翻译：一种在图像中找到对象的方法，所述方法包括通过一组或多组特征点描述对象形状; 估计特征点（310）的位置; 基于在所有特征点的本地邻域中的对象的聚合外观的外观模型，找出每个特征点的新位置（320）; 以及基于形状模型（330）约束所述特征点的位置。

60. 发明授权

US07295709B2 Object identification 失效
标题翻译：对象识别
公开(公告)号：US07295709B2
公开(公告)日：2007-11-13
申请号：US10478714
申请日：2002-05-24
申请人： Timothy F. Cootes , Christopher J. Taylor
发明人： Timothy F. Cootes , Christopher J. Taylor
IPC分类号： G06K9/48 , G06K9/00
CPC分类号： G06K9/621 , G06K9/00275 , G06K9/6232
摘要： A method of object identification comprising, for an image in which an object is to be identified, determining for each of a set of location in the direction in which the gradient of intensity change to an adjacent location is greatest together with the magnitude of that gradient, modifying the gradient magnitude using a nonlinear function, the modified gradient and the associated direction for the set of location providing a vector representative of the image, and comparing the vector with a previously generated statistical model which provides identification of the object.
摘要翻译：一种物体识别方法，其特征在于，对于要识别对象的图像，确定强度相对于相邻位置的变化梯度最大的方向上的一组位置中的每个位置以及该梯度的大小使用非线性函数修改梯度幅度，提供表示图像的向量的位置集合的修改梯度和相关方向，以及将向量与提供对象的识别的先前生成的统计模型进行比较。

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