Efficient compact descriptors in visual search systems
    21.
    发明授权
    Efficient compact descriptors in visual search systems 有权
    在视觉搜索系统中有效的紧凑描述符

    公开(公告)号:US09131163B2

    公开(公告)日:2015-09-08

    申请号:US13762101

    申请日:2013-02-07

    Abstract: Disclosed embodiments are directed to methods, systems, and circuits of generating compact descriptors for transmission over a communications network. A method according to one embodiment includes receiving an uncompressed descriptor, performing zero-thresholding on the uncompressed descriptor to generate a zero-threshold-delimited descriptor, quantizing the zero-threshold-delimited descriptor to generate a quantized descriptor, and coding the quantized descriptor to generate a compact descriptor for transmission over a communications network. The uncompressed and compact descriptors may be 3D descriptors, such as where the uncompressed descriptor is a SHOT descriptor. The operation of coding can be ZeroFlag coding, ExpGolomb coding, or Arithmetic coding, for example.

    Abstract translation: 公开的实施例涉及生成用于通过通信网络传输的紧凑描述符的方法,系统和电路。 根据一个实施例的方法包括接收未压缩描述符,对未压缩描述符执行零阈值以生成零阈值分隔描述符,量化零阈值分隔描述符以生成量化描述符,并将量化描述符编码为 生成用于通过通信网络传输的紧凑描述符。 未压缩和紧凑的描述符可以是3D描述符,诸如未压缩描述符是SHOT描述符的位置。 例如,编码的操作可以是ZeroFlag编码,ExpGolomb编码或算术编码。

    METHOD FOR OBJECT RECOGNITION, CORRESPONDING SYSTEM, APPARATUS AND COMPUTER PROGRAM PRODUCT
    22.
    发明申请
    METHOD FOR OBJECT RECOGNITION, CORRESPONDING SYSTEM, APPARATUS AND COMPUTER PROGRAM PRODUCT 有权
    对象识别方法,对应系统,装置和计算机程序产品

    公开(公告)号:US20150205792A1

    公开(公告)日:2015-07-23

    申请号:US14602113

    申请日:2015-01-21

    CPC classification number: G06F17/3025 G06K9/4671 G06T7/90 G06T2207/10024

    Abstract: Searches performed in a data base using image descriptors of query images are managed via a mobile communication device, such as a smartphone, a tablet, etc., by: extracting at the mobile device grayscale and color descriptors of query images, sending the grayscale descriptors as compressed grayscale descriptors of query images from the mobile device to a server for searching in the data base, receiving at the mobile device results of the search, using color descriptors of query images in disambiguating the results by: i) sending the color descriptors as compressed color descriptors of query images from the mobile device to the server and receiving at the mobile device disambiguated search results from the server, or ii) receiving at the mobile device non-disambiguated search results from the server and disambiguating the search results by means of the color descriptors extracted at the mobile device to produce disambiguated search results.

    Abstract translation: 使用查询图像的图像描述符在数据库中执行的搜索通过诸如智能电话,平板电脑等的移动通信设备来管理,通过以下步骤:在移动设备处提取灰度级和查询图像的颜色描述符,发送灰度描述符 作为从移动设备到用于在数据库中搜索的服务器的查询图像的压缩灰度描述符,在移动设备处接收搜索结果,使用查询图像的颜色描述符来消除结果,其中:i)将颜色描述符发送为 从移动设备到服务器的查询图像的压缩颜色描述符,以及在移动设备处接收来自服务器的歧义搜索结果,或者ii)在移动设备处从服务器接收非消歧歧义的搜索结果,并通过以下方式消除搜索结果的歧义: 在移动设备处提取颜色描述符以产生消歧的搜索结果。

    Method, system, and computer program product to employ a multi-layered neural network for classification

    公开(公告)号:US11537840B2

    公开(公告)日:2022-12-27

    申请号:US16189264

    申请日:2018-11-13

    Abstract: A neural network classifies an input signal. For example, an accelerometer signal may be classified to detect human activity. In a first convolutional layer, two-valued weights are applied to the input signal. In a first two-valued function layer coupled at input to an output of the first convolutional layer, a two-valued function is applied. In a second convolutional layer coupled at input to an output of the first two-valued functional layer, weights of the second convolutional layer are applied. In a fully-connected layer coupled at input to an output of the second convolutional layer, two-valued weights of the fully connected layer are applied. In a second two-valued function layer coupled at input to an output of the fully connected layer, a two-valued function of the second two-valued function layer is applied. A classifier classifies the input signal based on an output signal of second two-valued function layer.

    Method for object recognition, corresponding system, apparatus and computer program product

    公开(公告)号:US09910864B2

    公开(公告)日:2018-03-06

    申请号:US14602113

    申请日:2015-01-21

    CPC classification number: G06F17/3025 G06K9/4671 G06T7/90 G06T2207/10024

    Abstract: Searches performed in a data base using image descriptors of query images are managed via a mobile communication device, such as a smartphone, a tablet, etc., by: extracting at the mobile device grayscale and color descriptors of query images, sending the grayscale descriptors as compressed grayscale descriptors of query images from the mobile device to a server for searching in the data base, receiving at the mobile device results of the search, using color descriptors of query images in disambiguating the results by: i) sending the color descriptors as compressed color descriptors of query images from the mobile device to the server and receiving at the mobile device disambiguated search results from the server, or ii) receiving at the mobile device non-disambiguated search results from the server and disambiguating the search results by means of the color descriptors extracted at the mobile device to produce disambiguated search results.

    Adaptive search window control for visual search
    28.
    发明授权
    Adaptive search window control for visual search 有权
    视觉搜索的自适应搜索窗口控件

    公开(公告)号:US09569695B2

    公开(公告)日:2017-02-14

    申请号:US13869656

    申请日:2013-04-24

    Abstract: Image-processing apparatus and methods to adaptively control a size and/or location of a visual search window used for feature matching in a machine-vision system are described. A search window controller may receive motion vector data and image recognition rate data, and compute a search window size and/or search window location based on the received data. The computed search window size may be a portion of an image frame. The motion vector data and image recognition rate data may be computed from one or more images in a video image sequence. By adaptively controlling search window size and location, an appreciable reduction in data processing burden for feature matching may be achieved.

    Abstract translation: 描述了在机器视觉系统中自适应地控制用于特征匹配的视觉搜索窗口的尺寸和/或位置的图像处理设备和方法。 搜索窗口控制器可以接收运动矢量数据和图像识别率数据,并且基于接收到的数据来计算搜索窗口大小和/或搜索窗口位置。 所计算的搜索窗口大小可以是图像帧的一部分。 可以从视频图像序列中的一个或多个图像计算运动矢量数据和图像识别率数据。 通过自适应地控制搜索窗口大小和位置,可以实现特征匹配的数据处理负担的明显降低。

    Method of producing compact descriptors from interest points of digital images, corresponding system, apparatus and computer program product
    29.
    发明授权
    Method of producing compact descriptors from interest points of digital images, corresponding system, apparatus and computer program product 有权
    从数字图像,对应系统,设备和计算机程序产品的兴趣点生成紧凑描述符的方法

    公开(公告)号:US09501713B2

    公开(公告)日:2016-11-22

    申请号:US14516310

    申请日:2014-10-16

    Abstract: Compact descriptors of digital images are produced by detecting interest points representative of the digital images and selecting out of the interest points key points for producing e.g. local and global compact descriptors of the images. The digital images are decomposed into blocks by computing an energy (variance) for each said block and then subjecting the blocks to culling by rejecting those blocks having an energy failing to pass an energy threshold. The interest points are detected only in the blocks resulting from culling, and the key points for producing the compact descriptors are selected out of the interest points thus detected, possibly by using different selection thresholds for local and global compact descriptors, respectively. The number of key points for producing the compact descriptors may be varied e.g. by adaptively varying the number of the interest points detected in the blocks resulting from culling.

    Abstract translation: 通过检测表示数字图像的兴趣点并选择兴趣点的关键点来产生数字图像的紧凑描述符,以产生例如数字图像。 本地和全局紧凑的图像描述符。 通过计算每个所述块的能量(方差),然后通过拒绝具有能量未能通过能量阈值的能量块来对数字图像分解成块。 仅在由剔除产生的块中检测到兴趣点,并且可能通过分别对于本地和全局紧凑描述符使用不同的选择阈值,从所检测的兴趣点中选出用于产生紧凑描述符的关键点。 用于生成紧凑描述符的关键点的数量可以是变化的。 通过自适应地改变在淘汰中产生的块中检测到的兴趣点的数量。

    Method and apparatus for computing image pyramids and related computer program product
    30.
    发明授权
    Method and apparatus for computing image pyramids and related computer program product 有权
    用于计算图像金字塔和相关计算机程序产品的方法和装置

    公开(公告)号:US09317898B2

    公开(公告)日:2016-04-19

    申请号:US14156327

    申请日:2014-01-15

    Abstract: An embodiment of a method for computing pyramids of input images (I) in a transformed domain, e.g., for search and retrieval purposes, includes:—arranging input images in blocks to produce input image blocks,—subjecting the input image blocks to block processing including: transform into a transformed domain, subjecting the image blocks transformed into a transformed domain to filtering, subjecting the image blocks transformed into a transformed domain and filtered to inverse transform implementing an inverse transform with respect to the previous transform into a transformed domain, thus producing a set of processed blocks. The set of processed blocks, which is recomposeable to an image pyramid, may be used, e.g., in detecting extrema points in images in the pyramid, extracting a patch of given size around the extrema points detected, and processing the patch to obtain local descriptors such as SIFT descriptors of a feature.

    Abstract translation: 用于计算变换域中的输入图像(I)的棱锥的方法的实施例,例如用于搜索和检索目的,包括: - 以块为单位布置输入图像以产生输入图像块, - 输入输入图像块以阻止处理 包括:变换为变换域,对经变换的域进行滤波,对变换后的图像块进行变换后进行逆变换,将前一变换的逆变换实现为变换域, 产生一组加工块。 可以使用可重构为图像金字塔的处理块的集合,例如,在检测金字塔中的图像中的极值点时,在检测到的极值点处提取给定大小的块,并且处理该补丁以获得局部描述符 例如功能的SIFT描述符。

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