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1. 发明申请

US20120075342A1 AUGMENTING IMAGE DATA BASED ON RELATED 3D POINT CLOUD DATA 有权
标题翻译：基于相关3D点云数据建立图像数据
公开(公告)号：US20120075342A1
公开(公告)日：2012-03-29
申请号：US12890251
申请日：2010-09-24
申请人： Maha El Choubassi , Igor V. Kozintsev , Yi Wu , Yoram Gat , Horst Haussecker
发明人： Maha El Choubassi , Igor V. Kozintsev , Yi Wu , Yoram Gat , Horst Haussecker
IPC分类号： G09G5/00
CPC分类号： G06T7/0081 , G06T7/11 , G06T11/00 , G06T17/00 , G06T2207/10028 , G06T2210/56
摘要： Embodiments of the invention describe processing a first image data and 3D point cloud data to extract a first planar segment from the 3D point cloud data. This first planar segment is associated with an object included in the first image data. A second image data is received, the second image data including the object captured in the first image data. A second planar segment related to the object is generated, where the second planar segment is geometrically consistent with the object as captured in the second image data. This planar segment is generated based, at least in part, on the second image data, the first image data and the first planar segment.Embodiments of the invention may further augment the second image data with content associated with the object. This augmented image may be displayed such that the content is displayed geometrically consistent with the second planar segment.
摘要翻译：本发明的实施例描述了处理第一图像数据和3D点云数据以从3D点云数据中提取第一平面段。该第一平面段与包括在第一图像数据中的对象相关联。接收第二图像数据，第二图像数据包括在第一图像数据中捕获的对象。产生与对象相关的第二平面段，其中第二平面段与第二图像数据中捕获的对象几何一致。至少部分地基于第二图像数据，第一图像数据和第一平面片段生成该平面片段。本发明的实施例可以进一步增加具有与对象相关联的内容的第二图像数据。可以显示该增强图像，使得内容与第二平面段几何一致地显示。

2. 发明授权

US08872851B2 Augmenting image data based on related 3D point cloud data 有权
标题翻译：基于相关3D点云数据增强图像数据
公开(公告)号：US08872851B2
公开(公告)日：2014-10-28
申请号：US12890251
申请日：2010-09-24
申请人： Maha El Choubassi , Igor V. Kozintsev , Yi Wu , Yoram Gat , Horst Haussecker
发明人： Maha El Choubassi , Igor V. Kozintsev , Yi Wu , Yoram Gat , Horst Haussecker
IPC分类号： G09G5/00 , G06T7/00 , G06T17/00 , G06T11/00
CPC分类号： G06T7/0081 , G06T7/11 , G06T11/00 , G06T17/00 , G06T2207/10028 , G06T2210/56
摘要： Embodiments of the invention describe processing a first image data and 3D point cloud data to extract a first planar segment from the 3D point cloud data. This first planar segment is associated with an object included in the first image data. A second image data is received, the second image data including the object captured in the first image data. A second planar segment related to the object is generated, where the second planar segment is geometrically consistent with the object as captured in the second image data. This planar segment is generated based, at least in part, on the second image data, the first image data and the first planar segment. Embodiments of the invention may further augment the second image data with content associated with the object. This augmented image may be displayed such that the content is displayed geometrically consistent with the second planar segment.
摘要翻译：本发明的实施例描述了处理第一图像数据和3D点云数据以从3D点云数据中提取第一平面段。该第一平面段与包括在第一图像数据中的对象相关联。接收第二图像数据，第二图像数据包括在第一图像数据中捕获的对象。产生与对象相关的第二平面段，其中第二平面段与第二图像数据中捕获的对象几何一致。至少部分地基于第二图像数据，第一图像数据和第一平面片段生成该平面片段。本发明的实施例可以进一步增加具有与对象相关联的内容的第二图像数据。可以显示该增强图像，使得内容与第二平面段几何一致地显示。

3. 发明申请

US20050226493A1 Image segmentation using branch and bound analysis 有权
标题翻译：使用分支和边界分析的图像分割
公开(公告)号：US20050226493A1
公开(公告)日：2005-10-13
申请号：US10815896
申请日：2004-03-31
申请人： Yoram Gat , Horst Haussecker
发明人： Yoram Gat , Horst Haussecker
IPC分类号： G06K9/00 , G06T5/00 , G06T7/00
CPC分类号： G06T7/0006 , G06T7/11 , G06T7/162 , G06T2207/10056 , G06T2207/30141 , G06T2207/30148
摘要： According to an embodiment of the invention, a method and apparatus for image segmentation are described. An embodiment of a method comprises inserting a state comprising a set of image segmentations into a queue, the queue being ordered by priority, the set of image segmentations having a priority representing a bound for a quality of the segmentations; extracting the state in the queue having the highest priority; if the extracted state is a terminal state, halting and outputting the extracted state as a solution; if the extracted state is not a terminal state refining the extracted state into a plurality of sets of segmentations, each of the plurality of sets having a priority, inserting the plurality of sets of segmentations into the queue, and iteratively repeating the extraction of the state in the queue having the highest priority.
摘要翻译：根据本发明的实施例，描述了一种用于图像分割的方法和装置。一种方法的实施例包括将包括一组图像分段的状态插入到队列中，该队列按优先顺序排列，所述一组图像分割具有表示对分段质量的限制的优先级; 提取具有最高优先级的队列中的状态; 如果所提取的状态是终端状态，则停止并输出所提取的状态作为解决方案; 如果所提取的状态不是终止状态，则将所提取的状态改进为多个分割集合，则所述多个集合中的每一个具有优先级，将所述多个分段集合插入队列中，并且迭代地重复所述状态的提取在队列中具有最高优先级。

4. 发明申请

US20100135527A1 Image recognition algorithm, method of identifying a target image using same, and method of selecting data for transmission to a portable electronic device 有权
标题翻译：图像识别算法，使用其识别目标图像的方法以及选择用于传输到便携式电子设备的数据的方法
公开(公告)号：US20100135527A1
公开(公告)日：2010-06-03
申请号：US12315405
申请日：2008-12-02
申请人： Yi Wu , Horst Haussecker , Igor Kozintsev
发明人： Yi Wu , Horst Haussecker , Igor Kozintsev
IPC分类号： G06K9/00 , G10L15/04
CPC分类号： G06K9/6292 , G06K9/00664 , G10L15/26
摘要： An image recognition algorithm includes a keypoints-based comparison and a region-based color comparison. A method of identifying a target image using the algorithm includes: receiving an input at a processing device, the input including data related to the target image; performing a retrieving step including retrieving an image from an image database, and, until the image is either accepted or rejected, designating the image as a candidate image; performing an image recognition step including using the processing device to perform an image recognition algorithm on the target and candidate images in order to obtain an image recognition algorithm output; and performing a comparison step including: if the image recognition algorithm output is within a pre-selected range, accepting the candidate image as the target image; and if the image recognition algorithm output is not within the pre-selected range, rejecting the candidate image and repeating the retrieving, image recognition, and comparison steps.
摘要翻译：图像识别算法包括基于关键点的比较和基于区域的颜色比较。使用所述算法识别目标图像的方法包括：在处理装置处接收输入，所述输入包括与所述目标图像有关的数据; 执行检索步骤，包括从图像数据库检索图像，并且直到图像被接受或拒绝为止，将图像指定为候选图像; 执行图像识别步骤，包括使用所述处理装置对所述目标图像和候选图像执行图像识别算法，以便获得图像识别算法输出; 并且执行比较步骤，包括：如果图像识别算法输出在预选范围内，则接受候选图像作为目标图像; 并且如果图像识别算法输出不在预选范围内，则拒绝候选图像并重复检索，图像识别和比较步骤。

5. 发明授权

US08391615B2 Image recognition algorithm, method of identifying a target image using same, and method of selecting data for transmission to a portable electronic device 有权
标题翻译：图像识别算法，使用其识别目标图像的方法以及选择用于传输到便携式电子设备的数据的方法
公开(公告)号：US08391615B2
公开(公告)日：2013-03-05
申请号：US12315405
申请日：2008-12-02
申请人： Yi Wu , Horst Haussecker , Igor Kozintsev
发明人： Yi Wu , Horst Haussecker , Igor Kozintsev
IPC分类号： G06K9/46 , G06K7/00 , G10L15/04
CPC分类号： G06K9/6292 , G06K9/00664 , G10L15/26
摘要： An image recognition algorithm includes a keypoints-based comparison and a region-based color comparison. A method of identifying a target image using the algorithm includes: receiving an input at a processing device, the input including data related to the target image; performing a retrieving step including retrieving an image from an image database, and, until the image is either accepted or rejected, designating the image as a candidate image; performing an image recognition step including using the processing device to perform an image recognition algorithm on the target and candidate images in order to obtain an image recognition algorithm output; and performing a comparison step including: if the image recognition algorithm output is within a pre-selected range, accepting the candidate image as the target image; and if the image recognition algorithm output is not within the pre-selected range, rejecting the candidate image and repeating the retrieving, image recognition, and comparison steps.
摘要翻译：图像识别算法包括基于关键点的比较和基于区域的颜色比较。使用所述算法识别目标图像的方法包括：在处理装置处接收输入，所述输入包括与所述目标图像有关的数据; 执行检索步骤，包括从图像数据库检索图像，并且直到图像被接受或拒绝为止，将图像指定为候选图像; 执行图像识别步骤，包括使用所述处理装置对所述目标图像和候选图像执行图像识别算法，以获得图像识别算法输出; 并且执行比较步骤，包括：如果图像识别算法输出在预选范围内，则接受候选图像作为目标图像; 并且如果图像识别算法输出不在预选范围内，则拒绝候选图像并重复检索，图像识别和比较步骤。

6. 发明授权

US08934683B2 Model-based fusion of scanning probe microscopic images for detection and identification of molecular structures 有权
公开(公告)号：US08934683B2
公开(公告)日：2015-01-13
申请号：US12359637
申请日：2009-01-26
申请人： Horst Haussecker , Andrew A. Berlin , Selena Chan , Eric Hannah , Narayanan Sundararajan , Mineo Yamakawa
发明人： Horst Haussecker , Andrew A. Berlin , Selena Chan , Eric Hannah , Narayanan Sundararajan , Mineo Yamakawa
IPC分类号： G06K9/00 , G01Q30/04 , B82Y35/00
CPC分类号： G01Q30/04 , B82Y35/00
摘要： In certain embodiments of the invention, a plurality of images of one or more subjects may be captured using different imaging techniques, such as different modalities of scanning probe microscopy. Parameters may be estimated from the plurality of images, using one or more models of known molecular structures to provide a model-based analysis. The estimated parameters may be fused, with further input from physical models of known molecular structures. The fused parameters may be used to characterize the subjects. Such characterization may include the detection and/or identification of specific molecular structures, such as proteins, peptides and/or nucleic acids of known sequence and/or structure. In some embodiments of the invention the structural characterizations may be used to identify previously unknown properties of a subject molecule.

7. 发明申请

US20060002635A1 Computing a higher resolution image from multiple lower resolution images using model-based, robust bayesian estimation 有权
标题翻译：使用基于模型的鲁棒贝叶斯估计来计算来自多个较低分辨率图像的较高分辨率图像
公开(公告)号：US20060002635A1
公开(公告)日：2006-01-05
申请号：US10882723
申请日：2004-06-30
申请人： Oscar Nestares , Horst Haussecker , Scott Ettinger
发明人： Oscar Nestares , Horst Haussecker , Scott Ettinger
IPC分类号： G06K9/32
CPC分类号： G06T3/4053
摘要： A result higher resolution (HR) image of a scene given multiple, observed lower resolution (LR) images of the scene is computed using a Bayesian estimation image reconstruction methodology. The methodology yields the result HR image based on a Likelihood probability function that implements a model for the formation of LR images in the presence of noise. This noise is modeled by a probabilistic, non-Gaussian, robust function. Other embodiments are also described and claimed.
摘要翻译：使用贝叶斯估计图像重建方法计算场景给定多个观察到的较低分辨率（LR）图像的场景的更高分辨率（HR）图像。该方法产生基于似然概率函数的结果HR图像，其实现了在存在噪声的情况下形成LR图像的模型。该噪声由概率非高斯鲁棒函数建模。还描述和要求保护其他实施例。

8. 发明申请

US20080112630A1 DIGITAL VIDEO STABILIZATION BASED ON ROBUST DOMINANT MOTION ESTIMATION 审中-公开
标题翻译：基于稳健运动估计的数字视频稳定
公开(公告)号：US20080112630A1
公开(公告)日：2008-05-15
申请号：US11558131
申请日：2006-11-09
申请人： Oscar Nestares , Horst Haussecker
发明人： Oscar Nestares , Horst Haussecker
IPC分类号： G06K9/36
CPC分类号： H04N5/23267 , G06T7/277 , G06T2207/10016 , G06T2207/20076 , G06T2207/30241 , G06T2207/30244 , H04N5/144 , H04N5/21 , H04N5/23248 , H04N5/23254 , H04N19/527 , H04N19/61 , H04N19/80
摘要： Various embodiments for performing digital video stabilization based on robust dominant motion estimation are described. In one embodiment, an apparatus may receive an input image sequence and estimate dominant motion between neighboring images in the image sequence. The apparatus may use a robust estimator to automatically detect and discount outliers corresponding to independently moving objects. Other embodiments are described and claimed.
摘要翻译：描述了基于鲁棒的主动运动估计执行数字视频稳定的各种实施例。在一个实施例中，装置可以接收输入图像序列并估计图像序列中相邻图像之间的主要运动。该装置可以使用鲁棒的估计器来自动检测和折叠对应于独立移动物体的离群值。描述和要求保护其他实施例。

9. 发明申请

US20090262994A1 MODEL-BASED FUSION OF SCANNING PROBE MICROSCOPIC IMAGES FOR DETECTION AND IDENTIFICATION OF MOLECULAR STRUCTURES 有权
标题翻译：用于探测和识别分子结构的扫描探针微观图像的基于模型的融合
公开(公告)号：US20090262994A1
公开(公告)日：2009-10-22
申请号：US12359637
申请日：2009-01-26
申请人： Horst Haussecker , Andrew A. Berlin , Selena Chan , Eric Hannah , Narayanan Sundararajan , Mineo Yamakawa
发明人： Horst Haussecker , Andrew A. Berlin , Selena Chan , Eric Hannah , Narayanan Sundararajan , Mineo Yamakawa
IPC分类号： G06K9/00
CPC分类号： G01Q30/04 , B82Y35/00
摘要： In certain embodiments of the invention, a plurality of images of one or more subjects may be captured using different imaging techniques, such as different modalities of scanning probe microscopy. Parameters may be estimated from the plurality of images, using one or more models of known molecular structures to provide a model-based analysis. The estimated parameters may be fused, with further input from physical models of known molecular structures. The fused parameters may be used to characterize the subjects. Such characterization may include the detection and/or identification of specific molecular structures, such as proteins, peptides and/or nucleic acids of known sequence and/or structure. In some embodiments of the invention the structural characterizations may be used to identify previously unknown properties of a subject molecule.
摘要翻译：在本发明的某些实施例中，可以使用不同的成像技术（例如扫描探针显微镜的不同方式）捕获一个或多个受试者的多个图像。可以使用已知分子结构的一个或多个模型从多个图像估计参数以提供基于模型的分析。估计的参数可以与已知分子结构的物理模型的进一步输入融合。融合参数可用于表征受试者。这种表征可以包括具体分子结构的检测和/或鉴定，例如已知序列和/或结构的蛋白质，肽和/或核酸。在本发明的一些实施方案中，结构表征可用于鉴定受试者分子的先前未知的性质。

10. 发明授权

US07606403B2 Model-based fusion of scanning probe microscopic images for detection and identification of molecular structures 失效
标题翻译：基于模型的扫描探针显微镜图像融合，用于检测和鉴定分子结构
公开(公告)号：US07606403B2
公开(公告)日：2009-10-20
申请号：US10685867
申请日：2003-10-14
申请人： Horst Haussecker , Andrew A. Berlin , Selena Chan , Eric Hannah , Narayanan Sundararajan , Mineo Yamakawa
发明人： Horst Haussecker , Andrew A. Berlin , Selena Chan , Eric Hannah , Narayanan Sundararajan , Mineo Yamakawa
IPC分类号： G06K9/00
CPC分类号： G01Q30/04 , B82Y35/00
摘要： In certain embodiments of the invention, a plurality of images of one or more subjects may be captured using different imaging techniques, such as different modalities of scanning probe microscopy. Parameters may be estimated from the plurality of images, using one or more models of known molecular structures to provide a model-based analysis. The estimated parameters may be fused, with further input from physical models of known molecular structures. The fused parameters may be used to characterize the subjects. Such characterization may include the detection and/or identification of specific molecular structures, such as proteins, peptides and/or nucleic acids of known sequence and/or structure. In some embodiments of the invention the structural characterizations may be used to identify previously unknown properties of a subject molecule.
摘要翻译：在本发明的某些实施例中，可以使用不同的成像技术（例如扫描探针显微镜的不同方式）捕获一个或多个受试者的多个图像。可以使用已知分子结构的一个或多个模型从多个图像估计参数以提供基于模型的分析。估计的参数可以与已知分子结构的物理模型的进一步输入融合。融合参数可用于表征受试者。这种表征可以包括具体分子结构的检测和/或鉴定，例如已知序列和/或结构的蛋白质，肽和/或核酸。在本发明的一些实施方案中，结构表征可用于鉴定受试者分子的先前未知的性质。

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