专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08498454B2 Optimal subspaces for face recognition 有权
标题翻译：面部识别的最佳子空间
公开(公告)号：US08498454B2
公开(公告)日：2013-07-30
申请号：US12627039
申请日：2009-11-30
申请人： Jilin Tu , Frederick Wilson Wheeler , Peter Henry Tu , Xiaoming Liu , Yan Tong
发明人： Jilin Tu , Frederick Wilson Wheeler , Peter Henry Tu , Xiaoming Liu , Yan Tong
IPC分类号： G06K9/00
CPC分类号： G06K9/6234 , G06K9/00288 , G06K9/6215
摘要： A technique for optimizing object recognition is disclosed. The technique includes receiving at least one image of an object and at least one reference image. The technique further includes identifying at least one performance metric corresponding to an object recognition task. The identified performance metric is optimized to generate the corresponding optimized performance metric by determining an optimal subspace based on a determined objective function corresponding to the object recognition task and a difference between the received image and the corresponding reference image. Subsequently, the technique includes comparing the received image with the reference image based on the optimized performance metric for performing the object recognition task.
摘要翻译：公开了一种用于优化对象识别的技术。该技术包括接收对象和至少一个参考图像的至少一个图像。该技术还包括识别对应于对象识别任务的至少一个性能量度。通过基于与对象识别任务相对应的确定的目标函数和接收到的图像与对应的参考图像之间的差异来确定最佳子空间来优化识别的性能度量以产生相应的优化性能度量。随后，该技术包括基于用于执行对象识别任务的优化性能度量来比较接收到的图像与参考图像。

2. 发明授权

US08442330B2 System and method for automatic landmark labeling with minimal supervision 有权
标题翻译：最小监督的自动地标标签系统和方法
公开(公告)号：US08442330B2
公开(公告)日：2013-05-14
申请号：US12533066
申请日：2009-07-31
申请人： Yan Tong , Xiaoming Liu , Jilin Tu , Peter Henry Tu , Frederick Wilson Wheeler
发明人： Yan Tong , Xiaoming Liu , Jilin Tu , Peter Henry Tu , Frederick Wilson Wheeler
IPC分类号： G06K9/62 , G06K9/74
CPC分类号： G06K9/66 , G06K9/00228 , G06T7/33 , G06T7/35 , G06T2207/20121 , G06T2207/30201
摘要： A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation.
摘要翻译：用于估计大图像集合的一组地标的系统和方法仅使用来自集合的少量手动标记的图像，并且避免与手动图像标签相关联的劳动密集型和易出错的对象检测，跟踪和对准学习任务限制技术采用半监督的最小二乘法凝结方法来最小化在标记和未标记图像上定义的目标函数。形状模型在线学习以约束地标配置。分区策略允许粗略到精细的地标估计。

3. 发明申请

US20110013845A1 OPTIMAL SUBSPACES FOR FACE RECOGNITION 有权
标题翻译：面向认可的最佳选择
公开(公告)号：US20110013845A1
公开(公告)日：2011-01-20
申请号：US12627039
申请日：2009-11-30
申请人： Jilin Tu , Frederick Wilson Wheeler , Peter Henry Tu , Xiaoming Liu , Yan Tong
发明人： Jilin Tu , Frederick Wilson Wheeler , Peter Henry Tu , Xiaoming Liu , Yan Tong
IPC分类号： G06K9/68
CPC分类号： G06K9/6234 , G06K9/00288 , G06K9/6215
摘要： A technique for optimizing object recognition is disclosed. The technique includes receiving at least one image of an object and at least one reference image. The technique further includes identifying at least one performance metric corresponding to an object recognition task. The identified performance metric is optimized to generate the corresponding optimized performance metric by determining an optimal subspace based on a determined objective function corresponding to the object recognition task and a difference between the received image and the corresponding reference image. Subsequently, the technique includes comparing the received image with the reference image based on the optimized performance metric for performing the object recognition task.
摘要翻译：公开了一种用于优化对象识别的技术。该技术包括接收对象和至少一个参考图像的至少一个图像。该技术还包括识别对应于对象识别任务的至少一个性能量度。通过基于与对象识别任务相对应的确定的目标函数和接收到的图像与对应的参考图像之间的差异来确定最佳子空间来优化识别的性能度量以产生相应的优化性能度量。随后，该技术包括基于用于执行对象识别任务的优化性能度量来比较接收到的图像与参考图像。

4. 发明申请

US20100246980A1 SYSTEM AND METHOD FOR AUTOMATIC LANDMARK LABELING WITH MINIMAL SUPERVISION 有权
标题翻译：自动地标标签系统与方法与最小监控
公开(公告)号：US20100246980A1
公开(公告)日：2010-09-30
申请号：US12533066
申请日：2009-07-31
申请人： Yan Tong , Xiaoming Liu , Jilin Tu , Peter Henry Tu , Frederick Wilson Wheeler
发明人： Yan Tong , Xiaoming Liu , Jilin Tu , Peter Henry Tu , Frederick Wilson Wheeler
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06K9/66 , G06K9/00228 , G06T7/33 , G06T7/35 , G06T2207/20121 , G06T2207/30201
摘要： A system and method for estimating a set of landmarks for a large image ensemble employs only a small number of manually labeled images from the ensemble and avoids labor-intensive and error-prone object detection, tracking and alignment learning task limitations associated with manual image labeling techniques. A semi-supervised least squares congealing approach is employed to minimize an objective function defined on both labeled and unlabeled images. A shape model is learned on-line to constrain the landmark configuration. A partitioning strategy allows coarse-to-fine landmark estimation.
摘要翻译：用于估计大图像集合的一组地标的系统和方法仅使用来自集合的少量手动标记的图像，并且避免与手动图像标签相关联的劳动密集型和易出错的对象检测，跟踪和对准学习任务限制技术采用半监督的最小二乘法凝结方法来最小化在标记和未标记图像上定义的目标函数。形状模型在线学习以约束地标配置。分区策略允许粗略到精细的地标估计。

5. 发明申请

US20120237117A1 OPTIMAL GRADIENT PURSUIT FOR IMAGE ALIGNMENT 有权
标题翻译：用于图像对齐的最佳梯度图像
公开(公告)号：US20120237117A1
公开(公告)日：2012-09-20
申请号：US13052097
申请日：2011-03-20
申请人： Xiaoming Liu , Frederick Wilson Wheeler , Peter Henry Tu , Jilin Tu
发明人： Xiaoming Liu , Frederick Wilson Wheeler , Peter Henry Tu , Jilin Tu
IPC分类号： G06K9/46 , G06K9/48 , G06K9/62
CPC分类号： G06K9/3241 , G06K9/00228
摘要： A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed.
摘要翻译：公开了一种用于图像对准的方法。在一个实施例中，该方法包括获取人的面部图像并使用区别性面部对准模型来将面部图像拟合为面部图像，以便于面部特征的定位。鉴别面部对齐模型可以包括生成形状模型组件和鉴别外观模型组件。此外，鉴别外观模型组件可能已经被训练以估计最小化梯度方向和指向地面真实形状参数的向量之间的角度的得分函数。还公开了附加的方法，系统和制品。

6. 发明授权

US08478077B2 Optimal gradient pursuit for image alignment 有权
标题翻译：图像对齐的最佳梯度追踪
公开(公告)号：US08478077B2
公开(公告)日：2013-07-02
申请号：US13052097
申请日：2011-03-20
申请人： Xiaoming Liu , Frederick Wilson Wheeler , Peter Henry Tu , Jilin Tu
发明人： Xiaoming Liu , Frederick Wilson Wheeler , Peter Henry Tu , Jilin Tu
IPC分类号： G06K9/32 , G06K9/62 , G06K9/66 , G06K9/36 , G06K9/48
CPC分类号： G06K9/3241 , G06K9/00228
摘要： A method for image alignment is disclosed. In one embodiment, the method includes acquiring a facial image of a person and using a discriminative face alignment model to fit a generic facial mesh to the facial image to facilitate locating of facial features. The discriminative face alignment model may include a generative shape model component and a discriminative appearance model component. Further, the discriminative appearance model component may have been trained to estimate a score function that minimizes the angle between a gradient direction and a vector pointing toward a ground-truth shape parameter. Additional methods, systems, and articles of manufacture are also disclosed.
摘要翻译：公开了一种用于图像对准的方法。在一个实施例中，该方法包括获取人的面部图像并使用区别性面部对准模型来将面部图像拟合为面部图像，以便于面部特征的定位。鉴别面部对齐模型可以包括生成形状模型组件和鉴别外观模型组件。此外，鉴别外观模型组件可能已经被训练以估计最小化梯度方向和指向地面真实形状参数的向量之间的角度的得分函数。还公开了附加的方法，系统和制品。

7. 发明申请

US20100119119A1 AUTOMATED SYSTEMS AND METHODS FOR SCREENING ZEBRAFISH 审中-公开
标题翻译：自动化系统和筛选ZEBRAFISH的方法
公开(公告)号：US20100119119A1
公开(公告)日：2010-05-13
申请号：US12403587
申请日：2009-03-13
申请人： Jens Rittscher , Ahmad Yekta , Musodiq O. Bello , Jilin Tu , Wen Lin Seng
发明人： Jens Rittscher , Ahmad Yekta , Musodiq O. Bello , Jilin Tu , Wen Lin Seng
IPC分类号： G06K9/00
CPC分类号： G06K9/00 , A01K61/95 , G01N33/5088 , G01N2333/4603
摘要： Systems and methods for screening zebrafish comprising, a storage device for at least temporarily storing an image of a zebrafish to be screened; a zebrafish atlas; and an operating device that automatically screens the zebrafish at least in part by automatically comparing one or more anatomical features of the zebrafish to one or more standards.
摘要翻译：用于筛选斑马鱼的系统和方法，包括：用于至少临时存储要筛选的斑马鱼的图像的存储装置; 斑马鱼地图集以及至少部分地通过将斑马鱼的一种或多种解剖特征与一种或多种标准自动比较来自动筛选斑马鱼的操作装置。

8. 发明授权

US08687857B2 Systems and methods for automated extraction of high-content information from whole organisms 有权
标题翻译：从全生物自动提取高含量信息的系统和方法
公开(公告)号：US08687857B2
公开(公告)日：2014-04-01
申请号：US12267019
申请日：2008-11-07
申请人： Musodiq O. Bello , Jens Rittscher , Ahmad Yekta , Dirk Ryan Padfield , Jilin Tu
发明人： Musodiq O. Bello , Jens Rittscher , Ahmad Yekta , Dirk Ryan Padfield , Jilin Tu
IPC分类号： G06K9/00
CPC分类号： A01K29/00 , G06F19/28 , G06K9/00
摘要： Systems and methods for extracting information about an organism of interest, such as an atlas of the organism of interest; a storage device for at least temporarily storing an image of the organism of interest; and an operating device that automatically creates a map of the image of the organism of interest and automatically compares the map of the image to the atlas of the organism.
摘要翻译：用于提取有关生物体的信息的系统和方法，例如感兴趣生物体的图集; 用于至少临时存储感兴趣的生物体的图像的存储装置; 以及自动创建感兴趣生物体的图像的图的操作装置，并自动将图像的图与生物体的图谱进行比较。

9. 发明授权

US08508588B2 Methods and systems for identifying well wall boundaries of microplates 有权
标题翻译：识别微孔板壁边界的方法和系统
公开(公告)号：US08508588B2
公开(公告)日：2013-08-13
申请号：US12783297
申请日：2010-05-19
申请人： Musodiq Olatayo Bello , Jens Rittscher , Bikash Chandra Mahato , Ahmad Yekta , Jilin Tu , Ying Li
发明人： Musodiq Olatayo Bello , Jens Rittscher , Bikash Chandra Mahato , Ahmad Yekta , Jilin Tu , Ying Li
IPC分类号： H04N9/47 , G06K9/00 , G06K9/46 , G02B17/00 , G01N23/00 , A61B3/14
CPC分类号： G06T7/12 , G01N21/6452 , G06T2207/20061 , G06T2207/30072
摘要： The present invention is directed to method and system for image processing of test wells on a microplates wherein the microplates' test well wall boundaries are identified through the use of a candidate edge image wherein the candidate edge image represents locations of one or more segments of the wall boundaries.
摘要翻译：本发明涉及用于在微孔板上测试孔图像处理的方法和系统，其中通过使用候选边缘图像来识别微孔板的测试井壁边界，其中候选边缘图像表示一个或多个区段的位置墙边界。

10. 发明授权

US07454039B2 Method of performing shape localization 有权
标题翻译：执行形状定位的方法
公开(公告)号：US07454039B2
公开(公告)日：2008-11-18
申请号：US10889459
申请日：2004-07-12
申请人： Jilin Tu , Thomas S. Huang
发明人： Jilin Tu , Thomas S. Huang
IPC分类号： G06K9/00
CPC分类号： G06K9/6209 , G06K9/00248
摘要： A method for performing shape localization in an image includes deriving a model shape from a database of a plurality of sample shapes. The model shape is defined by a set of landmarks. The method further includes deriving a texture likelihood model of present sub-patches of the set of landmarks defining the model shape in the image, and proposing a new set of landmarks that approximates a true location of features of the shape based on a sample proposal model of the present sub-patches. A CONDENSATION algorithm is used to derive the texture likelihood model and the proposed new set of landmarks.
摘要翻译：用于在图像中执行形状定位的方法包括从多个样本形状的数据库导出模型形状。模型形状由一组地标定义。该方法还包括导出定义图像中的模型形状的一组地标中的当前子块的纹理似然模型，并且基于样本提案模型提出近似于形状的特征的真实位置的新的地标集合的当前子贴片。使用CONDENSATION算法来导出纹理似然模型和提出的新的地标集。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式