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1. 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。

2. 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。

3. 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。

4. 发明申请

WO2012177410A1 DESCRIPTOR STORAGE AND SEARCHES OF K-DIMENSIONAL TREES 审中-公开
标题翻译：描述性存储和搜索的K维度
公开(公告)号：WO2012177410A1
公开(公告)日：2012-12-27
申请号：PCT/US2012/041324
申请日：2012-06-07
申请人： QUALCOMM INCORPORATED , VADDADI, Sundeep , HAMSICI, Onur C. , HONG, John H. , REZNIK, Yuriy , LEE, Chong U.
发明人： VADDADI, Sundeep , HAMSICI, Onur C. , HONG, John H. , REZNIK, Yuriy , LEE, Chong U.
IPC分类号： G06K9/62
CPC分类号： G06K9/6282 , G06K9/6228
摘要： Various arrangements for using a k-dimensional tree for a search are presented. A plurality of descriptors may be stored. Each of the plurality of descriptors stored is linked with a first number of stored dimensions. The search may be performed using the k-dimensional tree for one or more query descriptors that at least approximately match one or more of the plurality of descriptors linked with the first number of stored dimensions. The k-dimensional tree may be built using the plurality of descriptors wherein each of the plurality of descriptors is linked with a second number of dimensions when the k-dimensional tree is built. The second number of dimensions may be a greater number of dimensions than the first number of stored dimensions.
摘要翻译：提出了使用k维树进行搜索的各种布置。可以存储多个描述符。所存储的多个描述符中的每一个与存储维度的第一数量相关联。可以使用k维树进行搜索，所述查询描述符至少近似地匹配与第一数量的存储维相关联的多个描述符中的一个或多个。可以使用多个描述符构建k维树，其中当构建k维树时，多个描述符中的每个描述符与第二数量的维度相关联。第二数量的尺寸可以是比第一数量的存储尺寸更大的尺寸数量。

5. 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。

6. 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。

7. 发明申请

WO2012016168A3 OBJECT RECOGNITION USING INCREMENTAL FEATURE EXTRACTION 审中-公开
公开(公告)号：WO2012016168A3
公开(公告)日：2012-02-02
申请号：PCT/US2011/045942
申请日：2011-07-29
申请人： QUALCOMM INCORPORATED , 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 , G06K9/68
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.

8. 发明申请

WO2011133714A1 DAISY DESCRIPTOR GENERATION FROM PRECOMPUTED SCALE - SPACE 审中-公开
标题翻译： DAISY描述符从预先规定的空间生成 - 空间
公开(公告)号：WO2011133714A1
公开(公告)日：2011-10-27
申请号：PCT/US2011/033316
申请日：2011-04-20
申请人： QUALCOMM INCORPORATED , HAMSICI, Onur , HONG, John H. , REZNIK, Yuriy , VADDADI, Sundeep , LEE, Chong
发明人： HAMSICI, Onur , HONG, John H. , REZNIK, Yuriy , VADDADI, Sundeep , LEE, Chong
IPC分类号： G06K9/46
CPC分类号： G06K9/4671
摘要： A local feature descriptor for a point in an image is generated over multiple levels of an image scale space. The image is gradually smoothened to obtain a plurality of scale spaces. A point may be identified as the point of interest within a first scale space from the plurality of scale spaces. A plurality of image derivatives is obtained for each of the plurality of scale spaces. A plurality of orientation maps is obtained (from the plurality of image derivatives) for each scale space in the plurality of scale spaces. Each of the plurality of orientation maps is then smoothened (e.g., convolved) to obtain a corresponding plurality of smoothed orientation maps. Therefore, a local feature descriptor for the point may be generated by sparsely sampling a plurality of smoothed orientation maps corresponding to two or more scale spaces from the plurality of scale spaces.
摘要翻译：图像中的一个点的局部特征描述符是通过图像比例空间的多个级别生成的。图像逐渐平滑以获得多个刻度空间。点可以被识别为来自多个刻度空间的第一刻度空间内的兴趣点。为多个刻度空间中的每一个获得多个图像导数。对于多个刻度空间中的每个刻度空间，获得多个取向图（来自多个图像衍生）。然后对多个取向图中的每一个进行平滑（例如，卷积）以获得相应的多个平滑取向图。因此，可以通过从多个比例空间中稀疏采样对应于两个或更多比例空间的多个平滑取向图来生成该点的局部特征描述符。

9. 发明申请

WO2013028302A1 FAST MATCHING OF IMAGE FEATURES USING MULTI-DIMENSIONAL TREE DATA STRUCTURES 审中-公开
标题翻译：使用多维树数据结构快速匹配图像特征
公开(公告)号：WO2013028302A1
公开(公告)日：2013-02-28
申请号：PCT/US2012/047871
申请日：2012-07-23
申请人： QUALCOMM INCORPORATED , REZNIK, Yuriy , VADDADI, Sundeep
发明人： REZNIK, Yuriy , VADDADI, Sundeep
IPC分类号： G06F17/30
CPC分类号： G06F17/30961 , G06F17/30247 , G06K9/6261
摘要： A method for generating a descriptor tree data structure is provided. A plurality of descriptors are obtained for one or more images, each descriptor defined within a multi-dimensional descriptor space. The plurality of descriptors are partitioned into nodes of a tree data structure, where the number of nodes in such partitioning is a function of the number of descriptors in the plurality of descriptors. The nodes having more than two descriptors may be sub-partitioned into sub-nodes of the tree data structure until two or fewer descriptors remain per sub-node, where such sub-partitioning is a function of the number of descriptors remaining in each such node and/or a dimensionality of such descriptors.
摘要翻译：提供了一种用于生成描述符树数据结构的方法。为一个或多个图像获得多个描述符，每个描述符在多维描述符空间内定义。多个描述符被划分为树数据结构的节点，其中这种分区中的节点数是多个描述符中的描述符的数量的函数。具有多于两个描述符的节点可以被子划分为树数据结构的子节点，直到每个子节点保持两个或更少的描述符，其中这样的子分区是剩余在每个这样的节点中的描述符的数量的函数和/或这样的描述符的维度。

10. 发明申请

WO2013165674A1 SEGMENTATION OF 3D POINT CLOUDS FOR DENSE 3D MODELING 审中-公开
标题翻译：用于DENSE 3D建模的3D点云的分段
公开(公告)号：WO2013165674A1
公开(公告)日：2013-11-07
申请号：PCT/US2013/036309
申请日：2013-04-12
申请人： QUALCOMM INCORPORATED
发明人： VADDADI, Sundeep , ZIEGLER, Andrew , HAMSICI, Onur C.
IPC分类号： G06T7/00
CPC分类号： G06T15/005 , G06T7/11 , G06T2207/10028 , G06T2207/20101
摘要： Techniques for segmentation of three-dimensional (3D) point clouds are described herein. An example of a method for user-assisted segmentation of a 3D point cloud described herein includes obtaining a 3D point cloud of a scene containing a target object; receiving a seed input indicative of a location 5 of the target object within the scene; and generating a segmented point cloud corresponding to the target object by pruning the 3D point cloud based on the seed input.
摘要翻译：本文描述了三维（3D）点云的分割技术。本文描述的用于用户辅助分割3D点云的方法的示例包括获得包含目标对象的场景的3D点云; 接收指示场景内目标对象的位置5的种子输入; 以及通过基于种子输入修剪3D点云来生成与目标对象相对应的分割点云。

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