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    • 3. 发明申请
    • Method and apparatus for model based anisotropic diffusion
    • 用于基于模型的各向异性扩散的方法和装置
    • US20080007747A1
    • 2008-01-10
    • US11477942
    • 2006-06-30
    • Troy ChinenThomas Leung
    • Troy ChinenThomas Leung
    • G06F15/00
    • G06T5/002G06T5/20G06T7/13G06T2207/20012G06T2207/20081G06T2207/20192
    • Methods and apparatuses for image processing are presented. An exemplary method is provided which provides a model which includes information not found in the digital image, accessing digital image data and the model, and performing anisotropic diffusion on the digital image data utilizing the model. An apparatus for processing a digital image is presented which includes a processor operably coupled to memory storing digital image data, a model which includes information not found in the digital image data, and functional processing units for controlling image processing, where the functional processing units include a model generation module, and a model-based anisotropic diffusion module which performs anisotropic diffusion on the digital image data utilizing the information provided by the model.
    • 介绍了图像处理方法和装置。 提供了一种示例性方法,其提供包括在数字图像中未找到的信息,访问数字图像数据和模型以及使用该模型对数字图像数据执行各向异性扩散的模型。 提供了一种处理数字图像的装置,其包括可操作地耦合到存储数字图像数据的存储器的处理器,包括在数字图像数据中未找到的信息的模型以及用于控制图像处理的功能处理单元,其中功能处理单元包括 模型生成模块和基于模型的各向异性扩散模块,其利用由模型提供的信息对数字图像数据进行各向异性扩散。
    • 4. 发明授权
    • Method and apparatus for performing constrained spectral clustering of digital image data
    • 用于执行数字图像数据的受限频谱聚类的方法和装置
    • US07920745B2
    • 2011-04-05
    • US11393875
    • 2006-03-31
    • Yang SongThomas Leung
    • Yang SongThomas Leung
    • G06K9/62
    • G06F17/30247G06K9/00288G06K9/00362G06K9/6224
    • A method and an apparatus process digital images. The method according to one embodiment accesses element data representing a plurality of elements belonging to a plurality of digital images; performs a similarity analysis between the elements from the plurality of elements to obtain inter-relational data results relating to the elements; and performs clustering of the plurality of elements, the step of performing clustering including incorporating in the inter-relational data results at least one hard constraint relating to elements from the plurality of elements, to obtain constrained inter-relational data results, performing a spectral analysis to obtain eigenvector results from the constrained inter-relational data results, and performing discretization of the eigenvector results using constrained clustering with a criterion to enforce the at least one hard constraint to obtain clusters.
    • 一种方法和装置处理数字图像。 根据一个实施例的方法访问表示属于多个数字图像的多个元素的元素数据; 执行来自多个要素的元素之间的相似度分析,以获得与元素相关的关系数据结果; 并且执行所述多个元素的聚类,所述执行聚类的步骤包括在所述关系间数据结果中包含与来自所述多个元素的元素相关的至少一个硬约束,以获得约束的关系间数据结果,执行频谱分析 从约束的关系间数据结果获得特征向量结果,以及使用具有用于强制至少一个硬约束以获得聚类的准则的约束聚类来执行特征向量结果的离散化。
    • 5. 发明申请
    • Method and apparatus for adaptive context-aided human classification
    • 用于自适应上下文辅助人类分类的方法和装置
    • US20070237355A1
    • 2007-10-11
    • US11393661
    • 2006-03-31
    • Yang SongThomas Leung
    • Yang SongThomas Leung
    • G06K9/00
    • G06K9/00369G06K9/6224G06K9/6278
    • A method and an apparatus process digital images. The method according to one embodiment accesses digital data representing a plurality of digital images including a plurality of persons; performs face recognition to determine first scores relating to similarity between faces of the plurality of persons; performs clothes recognition to determine second scores relating to similarity between clothes of the plurality of persons; provides a plurality of formulas for estimating a probability of a face from the faces and a clothes from the clothes to belong to a person from the plurality of persons, wherein at least one formula of the plurality of formulas utilizes a first score and a second score, and at least one formula of the plurality of formulas utilizes only one score of a first score and a second score; and selects a formula from the plurality of formulas based on availability of a first score from the first scores for two persons from the plurality of persons, and availability of a second score from the second scores for the two persons, the selected formula estimating a probability relating to similarity of identities of the two persons.
    • 一种方法和装置处理数字图像。 根据一个实施例的方法访问表示包括多个人的多个数字图像的数字数据; 执行面部识别以确定与所述多个人的面部之间的相似性相关的第一分数; 执行衣服识别以确定与多个人的衣服之间的相似性相关的第二分数; 提供多个公式,用于估计来自面部的面部的概率和来自衣服的衣服,以属于来自多个人的人,其中,多个公式的至少一个公式利用第一分数和第二分数 并且所述多个公式中的至少一个公式仅使用一个第一得分和第二分数的得分; 并且基于来自所述多个人的两个人的来自所述第一分数的第一分数的可用性以及来自所述两个人的第二分数的第二分数的可用性,从所述多个公式中选择公式,所选择的公式估计概率 涉及两人身份的相似性。
    • 9. 发明授权
    • Method and apparatus for adaptive context-aided human classification
    • 用于自适应上下文辅助人类分类的方法和装置
    • US07864989B2
    • 2011-01-04
    • US11393661
    • 2006-03-31
    • Yang SongThomas Leung
    • Yang SongThomas Leung
    • G06K9/00G06K9/54G06K9/60
    • G06K9/00369G06K9/6224G06K9/6278
    • A method and an apparatus process digital images. The method according to one embodiment accesses digital data representing a plurality of digital images including a plurality of persons; performs face recognition to determine first scores relating to similarity between faces of the plurality of persons; performs clothes recognition to determine second scores relating to similarity between clothes of the plurality of persons; provides a plurality of formulas for estimating a probability of a face from the faces and a clothes from the clothes to belong to a person from the plurality of persons, wherein at least one formula of the plurality of formulas utilizes a first score and a second score, and at least one formula of the plurality of formulas utilizes only one score of a first score and a second score; and selects a formula from the plurality of formulas based on availability of a first score from the first scores for two persons from the plurality of persons, and availability of a second score from the second scores for the two persons, the selected formula estimating a probability relating to similarity of identities of the two persons.
    • 一种方法和装置处理数字图像。 根据一个实施例的方法访问表示包括多个人的多个数字图像的数字数据; 执行面部识别以确定与所述多个人的面部之间的相似性相关的第一分数; 执行衣服识别以确定与多个人的衣服之间的相似性相关的第二分数; 提供多个公式,用于估计来自面部的面部的概率和来自衣服的衣服,以属于来自多个人的人,其中,多个公式的至少一个公式利用第一分数和第二分数 并且所述多个公式中的至少一个公式仅使用一个第一得分和第二分数的得分; 并且基于来自所述多个人的两个人的来自所述第一分数的第一分数的可用性以及来自所述两个人的第二分数的第二分数的可用性,从所述多个公式中选择公式,所选择的公式估计概率 涉及两人身份的相似性。
    • 10. 发明授权
    • Method and apparatus for diffusion based illumination normalization
    • 用于基于扩散的照明归一化的方法和装置
    • US07747045B2
    • 2010-06-29
    • US11477907
    • 2006-06-30
    • Troy ChinenThomas Leung
    • Troy ChinenThomas Leung
    • G06K9/00
    • G06T5/002G06T5/20G06T7/13G06T2207/20012G06T2207/20081G06T2207/20192
    • An exemplary illumination normalization method is provided which includes receiving an input image having at least one spurious edge directly resulting from illumination, performing anisotropic diffusion on the input image to form a diffusion image, and removing at the least one spurious edge using the diffusion image. Another embodiment consistent with the invention is an apparatus for performing illumination normalization in an image which includes a processor operably coupled to a memory storing input image data which contains an object of interest having at least one spurious edge directly resulting from illumination, a model of a representative object of interest, and functional processing units for controlling image processing, wherein the functional processing units further include a model based anisotropic diffusion module which predicts edge information regarding the object of interest based upon the model, and produces a reflectance estimation utilizing the predicted edge information.
    • 提供了一种示例性的照明归一化方法,其包括接收具有直接由照明产生的至少一个伪边的输入图像,在输入图像上执行各向异性扩散以形成漫射图像,以及使用扩散图像在至少一个假边缘处去除。 与本发明相一致的另一实施例是用于在图像中执行照明归一化的装置,其包括可操作地耦合到存储输入图像数据的存储器的处理器,所述存储器包含感兴趣的对象,其具有直接由照明产生的至少一个伪边, 以及用于控制图像处理的功能处理单元,其中所述功能处理单元还包括基于模型的各向异性扩散模块,其基于所述模型预测关于所述对象的边缘信息,并且使用所述预测边缘产生反射率估计 信息。