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1. 发明申请

WO2011113026A3 IMAGE FEATURE DETECTION BASED ON APPLICATION OF MULTIPLE FEATURE DETECTORS 审中-公开
公开(公告)号：WO2011113026A3
公开(公告)日：2011-09-15
申请号：PCT/US2011/028232
申请日：2011-03-11
申请人： QUALCOMM INCORPORATED , HONG, John H. , HAMSICI, Onur C. , DOS SANTOS, Jose R. , HUANG, Joseph , LEE, Chong U. , REZNIK, Yuriy , MURPHY, Mark K. , YAMAKAWA, Devender A.
发明人： HONG, John H. , HAMSICI, Onur C. , DOS SANTOS, Jose R. , HUANG, Joseph , LEE, Chong U. , REZNIK, Yuriy , MURPHY, Mark K. , YAMAKAWA, Devender A.
IPC分类号： G06K9/46
摘要： In a particular embodiment, a method includes applying a first feature detector to a portion of an image to detect a first set of features. The first set of features is used to locate a region of interest, and a boundary corresponding to the region of interest is determined. The method also includes displaying the boundary at a display. In response to receiving user input to accept the displayed boundary, a second feature detector is applied to an area of the image encapsulated by the boundary.

2. 发明申请

WO2013022656A3 CODING OF FEATURE LOCATION INFORMATION 审中-公开
标题翻译：特征位置信息编码
公开(公告)号：WO2013022656A3
公开(公告)日：2014-03-13
申请号：PCT/US2012049055
申请日：2012-07-31
申请人： QUALCOMM INC , REZNIK YURIY , HAMSICI ONUR C , VADDADI SUNDEEP , HONG JOHN H , LEE CHONG U
发明人： REZNIK YURIY , HAMSICI ONUR C , VADDADI SUNDEEP , HONG JOHN H , LEE CHONG U
IPC分类号： G06K9/46 , G06F17/18 , G06T9/00
CPC分类号： G06T9/00 , G06F17/18 , G06F17/30247 , G06K9/4671 , G06K2009/226 , G06T9/005
摘要： Methods and devices for coding of feature locations are disclosed. In one embodiment, a method of coding feature location information of an image includes generating a hexagonal grid, where the hexagonal grid includes a plurality of hexagonal cells, quantizing feature locations of an image using the hexagonal grid, generating a histogram to record occurrences of feature locations in each hexagonal cell, and encoding the histogram in accordance with the occurrences of feature locations in each hexagonal cell. The method of encoding the histogram includes applying context information of neighboring hexagonal cells to encode information of a subsequent hexagonal cell to be encoded in the histogram, where the context information includes context information from first order neighbors and context information from second order neighbors of the subsequent hexagonal cell to be encoded.
摘要翻译：公开了用于编码特征位置的方法和装置。在一个实施例中，一种编码图像的特征位置信息的方法包括生成六边形网格，其中六边形网格包括多个六边形单元格，使用六边形网格量化图像的特征位置，生成直方图以记录特征的出现每个六边形单元格中的位置，并根据每个六边形单元格中特征位置的出现来对直方图进行编码。对直方图进行编码的方法包括应用相邻六边形单元格的上下文信息来编码在直方图中要编码的随后的六边形单元格的信息，其中上下文信息包括来自一阶邻居的上下文信息和来自第二阶邻居的上下文信息六角形单元格进行编码。

3. 发明申请

WO2011069023A3 FAST SUBSPACE PROJECTION OF DESCRIPTOR PATCHES FOR IMAGE RECOGNITION 审中-公开
标题翻译：图像识别中描述符补丁的快速子空间投影
公开(公告)号：WO2011069023A3
公开(公告)日：2011-07-28
申请号：PCT/US2010058807
申请日：2010-12-02
申请人： QUALCOMM INC , HAMSICI ONUR C , REZNIK YURIY , HONG JOHN H , VADDADI SUNDEEP , LEE CHONG U
发明人： HAMSICI ONUR C , REZNIK YURIY , HONG JOHN H , VADDADI SUNDEEP , LEE CHONG U
IPC分类号： G06K9/46
CPC分类号： G06K9/4671
摘要： A method for generating a feature descriptor is provided. A set of pre-generated sparse projection vectors is obtained. A scale space for an image is also obtained, where the scale space having a plurality scale levels. A descriptor for a keypoint in the scale space is then generated based on a combination of the sparse projection vectors and sparsely sampled pixel information for a plurality of pixels across the plurality of scale levels.
摘要翻译：提供了一种用于生成特征描述符的方法。获得一组预先生成的稀疏投影矢量。还获得图像的比例空间，其中比例空间具有多个比例级别。然后基于多个比例级别上的多个像素的稀疏投影矢量和稀疏采样像素信息的组合生成比例空间中的关键点的描述符。

4. 发明申请

WO2011113026A2 IMAGE FEATURE DETECTION BASED ON APPLICATION OF MULTIPLE FEATURE DETECTORS 审中-公开
标题翻译：基于多特征检测器的图像特征检测
公开(公告)号：WO2011113026A2
公开(公告)日：2011-09-15
申请号：PCT/US2011028232
申请日：2011-03-11
申请人： QUALCOMM INC , HONG JOHN H , HAMSICI ONUR C , DOS SANTOS JOSE R , HUANG JOSEPH , LEE CHONG U , REZNIK YURIY , MURPHY MARK K , YAMAKAWA DEVENDER A
发明人： HONG JOHN H , HAMSICI ONUR C , DOS SANTOS JOSE R , HUANG JOSEPH , LEE CHONG U , REZNIK YURIY , MURPHY MARK K , YAMAKAWA DEVENDER A
IPC分类号： G06K9/46
CPC分类号： G06K9/4671
摘要： In a particular embodiment, a method includes applying a first feature detector to a portion of an image to detect a first set of features. The first set of features is used to locate a region of interest, and a boundary corresponding to the region of interest is determined. The method also includes displaying the boundary at a display. In response to receiving user input to accept the displayed boundary, a second feature detector is applied to an area of the image encapsulated by the boundary.
摘要翻译：在特定实施例中，一种方法包括将第一特征检测器应用于图像的一部分以检测第一组特征。第一组特征用于定位感兴趣区域，并且确定与感兴趣区域对应的边界。该方法还包括在显示器上显示边界。响应于接收用户输入以接受所显示的边界，将第二特征检测器应用于由边界封装的图像的区域。

5. 发明申请

WO2011085277A1 SCALE SPACE NORMALIZATION TECHNIQUE FOR IMPROVED FEATURE DETECTION IN UNIFORM AND NON-UNIFORM ILLUMINATION CHANGES 审中-公开
标题翻译：用于改进特征检测的均匀空间正常化技术和非均匀照明变化
公开(公告)号：WO2011085277A1
公开(公告)日：2011-07-14
申请号：PCT/US2011/020613
申请日：2011-01-08
申请人： QUALCOMM INCORPORATED , VADDADI, Sundeep , HONG, John H. , HAMSICI, Onur C. , LEE, Chong U.
发明人： VADDADI, Sundeep , HONG, John H. , HAMSICI, Onur C. , LEE, Chong U.
IPC分类号： G06K9/46
CPC分类号： G06K9/4671
摘要： A normalization process is implemented at a difference of scale space to completely or substantially reduce the effect that illumination changes has on feature/keypoint detection in an image. An image may be processed by progressively blurring the image using a smoothening function to generate a smoothened scale space for the image. A difference of scale space may be generated by taking the difference between two different smoothened versions of the image. A normalized difference of scale space image may be generated by dividing the difference of scale space image by a third smoothened version of the image, where the third smoothened version of the image that is as smooth or smoother than the smoothest of the two different smoothened versions of the image. The normalized difference of scale space image may then be used to detect one or more features/keypoints for the image.
摘要翻译：在尺度空间的差异上实现归一化过程以完全或基本上减少照明变化对图像中的特征/关键点检测的影响。可以通过使用平滑函数逐渐模糊图像来生成图像来生成图像，以生成平滑的图像尺度空间。可以通过获取图像的两个不同平滑版本之间的差异来产生比例空间的差异。尺度空间图像的归一化差异可以通过将尺度空间图像的差除以图像的第三平滑版本而生成，其中图像的第三平滑版本比两个不同平滑版本中最平滑的平滑或平滑的图像。尺度空间图像的归一化差异可以用于检测图像的一个或多个特征/关键点。

6. 发明申请

WO2011069021A2 IMPROVING PERFORMANCE OF IMAGE RECOGNITION ALGORITHMS BY PRUNING FEATURES, IMAGE SCALING, AND SPATIALLY CONSTRAINED FEATURE MATCHING 审中-公开
标题翻译：通过特征，图像调整和空间约束特征匹配提高图像识别算法的性能
公开(公告)号：WO2011069021A2
公开(公告)日：2011-06-09
申请号：PCT/US2010/058805
申请日：2010-12-02
申请人： QUALCOMM Incorporated , VADDADI, Sundeep , HONG, John H. , HAMSICI, Onur C. , REZNIK, Yuriy , LEE, Chong U.
发明人： VADDADI, Sundeep , HONG, John H. , HAMSICI, Onur C. , REZNIK, Yuriy , LEE, Chong U.
IPC分类号： G06K9/64
CPC分类号： G06K9/6211
摘要： A method for feature matching in image recognition is provided. First, image scaling may be based on a feature distribution across scale spaces for an image to estimate image size/resolution, where peak(s) in the keypoint distribution at different scales is used to track a dominant image scale and roughly track object sizes. Second, instead of using all detected features in an image for feature matching, keypoints may be pruned based on cluster density and/or the scale level in which the keypoints are detected. Keypoints falling within high-density clusters may be preferred over features falling within lower density clusters for purposes of feature matching. Third, inlier-to-outlier keypoint ratios are increased by spatially constraining keypoints into clusters in order to reduce or avoid geometric consistency checking for the image.
摘要翻译：提供了一种图像识别中的特征匹配方法。首先，图像缩放可以基于用于图像的尺度空间上的特征分布来估计图像尺寸/分辨率，其中使用不同尺度的关键点分布中的峰值来跟踪主要图像尺度并粗略地跟踪对象尺寸。第二，不是使用图像中的所有检测到的特征来进行特征匹配，而是可以基于簇密度和/或检测关键点的比例级别来修剪关键点。落入高密度簇内的关键点可能优于落入低密度簇内的特征，用于特征匹配。第三，通过空间约束关键点进入群集来增加从早到晚的关键点比例，以便减少或避免图像的几何一致性检查。

7. 发明申请

WO2012142483A1 ROBUST FEATURE MATCHING FOR VISUAL SEARCH 审中-公开
标题翻译：强大的功能匹配视觉搜索
公开(公告)号：WO2012142483A1
公开(公告)日：2012-10-18
申请号：PCT/US2012/033620
申请日：2012-04-13
申请人： QUALCOMM Incorporated , VADDADI, Sundeep , HAMSICI, Onur C. , REZNIK, Yuriy , HONG, John H. , LEE, Chong U.
发明人： VADDADI, Sundeep , HAMSICI, Onur C. , REZNIK, Yuriy , HONG, John H. , LEE, Chong U.
IPC分类号： G06F17/30 , G06K9/62
CPC分类号： G06F17/30247 , G06K9/62 , G06K9/627
摘要： Techniques are disclosed for performing robust feature matching for visual search. An apparatus comprising an interface and a feature matching unit may implement these techniques. The interface receives a query feature descriptor. The feature matching unit then computes a distance between a query feature descriptor and reference feature descriptors and determines a first group of the computed distances and a second group of the computed distances in accordance with a clustering algorithm, where this second group of computed distances comprises two or more of the computed distances. The feature matching unit then determines whether the query feature descriptor matches one of the reference feature descriptors associated with a smallest one of the computed distances based on the determined first group and second group of the computed distances.
摘要翻译：公开了用于执行用于视觉搜索的鲁棒特征匹配的技术。包括接口和特征匹配单元的装置可以实现这些技术。接口接收查询特征描述符。特征匹配单元然后计算查询特征描述符和参考特征描述符之间的距离，并且根据聚类算法确定计算出的距离的第一组和所计算的距离的第二组，其中该第二组计算距离包括两个或更多的计算距离。特征匹配单元然后基于所确定的计算出的距离的第一组和第二组来确定查询特征描述符是否与与计算出的距离中的最小一个相关联的参考特征描述符之一匹配。

8. 发明申请

WO2012016168A2 OBJECT RECOGNITION USING INCREMENTAL FEATURE EXTRACTION 审中-公开
标题翻译：使用增量特征提取的对象识别
公开(公告)号：WO2012016168A2
公开(公告)日：2012-02-02
申请号：PCT/US2011045942
申请日：2011-07-29
申请人： QUALCOMM INC , BAHETI PAWAN KUMAR , VADDADI SUNDEEP , SWAMINATHAN ASHWIN , REZNIK YURIY , HAMSICI ONUR C , CHARI MURALI RAMASWAMY , HONG JOHN H , LEE CHONG UK
发明人： BAHETI PAWAN KUMAR , VADDADI SUNDEEP , SWAMINATHAN ASHWIN , REZNIK YURIY , HAMSICI ONUR C , CHARI MURALI RAMASWAMY , HONG JOHN H , LEE CHONG UK
IPC分类号： G06K9/46
CPC分类号： G06K9/6857 , G06K9/4671
摘要： In one example, an apparatus includes a processor configured to extract a first set of one or more keypoints from a first set of blurred images of a first octave of a received image, calculate a first set of one or more descriptors for the first set of keypoints, receive a confidence value for a result produced by querying a feature descriptor database with the first set of descriptors, wherein the result comprises information describing an identity of an object in the received image, and extract a second set of one or more keypoints from a second set of blurred images of a second octave of the received image when the confidence value does not exceed a confidence threshold. In this manner, the processor may perform incremental feature descriptor extraction, which may improve computational efficiency of object recognition in digital images.
摘要翻译：在一个示例中，一种装置包括处理器，该处理器被配置为从接收到的图像的第一八度的第一组模糊图像中提取第一组一个或多个关键点，计算第一组的一个或多个描述符接收关于通过用第一组描述符查询特征描述符数据库产生的结果的置信度值，其中所述结果包括描述所接收的图像中的对象的身份的信息，并且从第二组关键点提取一个或多个关键点当置信度值不超过置信度阈值时，所接收图像的第二八度音阶的第二组模糊图像。以这种方式，处理器可以执行递增特征描述符提取，这可以提高数字图像中对象识别的计算效率。

9. 发明申请

WO2011069023A2 FAST SUBSPACE PROJECTION OF DESCRIPTOR PATCHES FOR IMAGE RECOGNITION 审中-公开
标题翻译：用于图像识别的描述符的快速替代预测
公开(公告)号：WO2011069023A2
公开(公告)日：2011-06-09
申请号：PCT/US2010/058807
申请日：2010-12-02
申请人： QUALCOMM INCORPORATED , HAMSICI, Onur C. , REZNIK, Yuriy , HONG, John H. , VADDADI, Sundeep , LEE, Chong U.
发明人： HAMSICI, Onur C. , REZNIK, Yuriy , HONG, John H. , VADDADI, Sundeep , LEE, Chong U.
IPC分类号： G06K9/46
CPC分类号： G06K9/4671
摘要： A method for generating a feature descriptor is provided. A set of pre-generated sparse projection vectors is obtained. A scale space for an image is also obtained, where the scale space having a plurality scale levels. A descriptor for a keypoint in the scale space is then generated based on a combination of the sparse projection vectors and sparsely sampled pixel information for a plurality of pixels across the plurality of scale levels.
摘要翻译：提供了一种生成特征描述符的方法。获得一组预先生成的稀疏投影向量。也可以获得图像的标度空间，其中刻度空间具有多个刻度级别。然后，基于稀疏投影矢量和跨越多个比例级别的多个像素的稀疏采样的像素信息的组合来生成缩放空间中的关键点的描述符。

10. 发明申请

WO2013022656A2 CODING OF FEATURE LOCATION INFORMATION 审中-公开
标题翻译：特征位置信息编码
公开(公告)号：WO2013022656A2
公开(公告)日：2013-02-14
申请号：PCT/US2012/049055
申请日：2012-07-31
申请人： QUALCOMM Incorporated , REZNIK, Yuriy , HAMSICI, Onur C. , VADDADI, Sundeep , HONG, John H. , LEE, Chong U.
发明人： REZNIK, Yuriy , HAMSICI, Onur C. , VADDADI, Sundeep , HONG, John H. , LEE, Chong U.
IPC分类号： G06T9/00
CPC分类号： G06T9/00 , G06F17/18 , G06F17/30247 , G06K9/4671 , G06K2009/226 , G06T9/005
摘要： Methods and devices for coding of feature locations are disclosed. In one embodiment, a method of coding feature location information of an image includes generating a hexagonal grid, where the hexagonal grid includes a plurality of hexagonal cells, quantizing feature locations of an image using the hexagonal grid, generating a histogram to record occurrences of feature locations in each hexagonal cell, and encoding the histogram in accordance with the occurrences of feature locations in each hexagonal cell. The method of encoding the histogram includes applying context information of neighboring hexagonal cells to encode information of a subsequent hexagonal cell to be encoded in the histogram, where the context information includes context information from first order neighbors and context information from second order neighbors of the subsequent hexagonal cell to be encoded.
摘要翻译：公开了用于编码特征位置的方法和装置。在一个实施例中，一种编码图像的特征位置信息的方法包括生成六边形网格，其中六边形网格包括多个六边形单元格，使用六边形网格量化图像的特征位置，生成直方图以记录特征的出现每个六边形单元格中的位置，并根据每个六边形单元格中特征位置的出现来对直方图进行编码。对直方图进行编码的方法包括应用相邻六边形单元格的上下文信息来编码在直方图中要编码的随后的六边形单元格的信息，其中上下文信息包括来自一阶邻居的上下文信息和来自第二阶邻居的上下文信息六角形单元格进行编码。

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