High Speed Searching For Large-Scale Image Databases
    2.
    发明申请
    High Speed Searching For Large-Scale Image Databases 有权
    高速搜索大型图像数据库

    公开(公告)号:US20160034779A1

    公开(公告)日:2016-02-04

    申请号:US14806038

    申请日:2015-07-22

    摘要: Embodiments are provided to search for a dictionary image corresponding to a target image. The method includes detecting keypoints in a set of dictionary images. The set of dictionary images includes at least one dictionary image having a plurality of pixels. At least one random pair of pixels is selected among the detected keypoints of the dictionary image on the basis of candidate coordinates for pixels distributed around the detected keypoints of the dictionary image. A feature vector of each keypoint of the dictionary image is calculated, including calculating a difference in brightness between the selected pairs of pixels of the dictionary image. The calculated difference in brightness is an element of the feature vector. Keypoints of a target image are detected.

    摘要翻译: 提供实施例以搜索对应于目标图像的字典图像。 该方法包括检测一组字典图像中的关键点。 所述字典图像集包括至少一个具有多个像素的字典图像。 基于字典图像的检测关键点周围的像素的候选坐标,在字典图像的检测关键点中选择至少一个随机对的像素。 计算字典图像的每个关键点的特征向量,包括计算字典图像的所选择的像素对之间的亮度差。 计算出的亮度差是特征向量的一个元素。 检测目标图像的关键点。

    High Speed Searching Method For Large-Scale Image Databases
    4.
    发明申请
    High Speed Searching Method For Large-Scale Image Databases 有权
    大型图像数据库的高速搜索方法

    公开(公告)号:US20160034776A1

    公开(公告)日:2016-02-04

    申请号:US14865837

    申请日:2015-09-25

    IPC分类号: G06K9/46 G06K9/62

    摘要: Embodiments are provided to search for a dictionary image corresponding to a target image. The method includes detecting keypoints in a set of dictionary images. The set of dictionary images includes at least one dictionary image having a plurality of pixels. At least one random pair of pixels is selected among the detected keypoints of the dictionary image on the basis of candidate coordinates for pixels distributed around the detected keypoints of the dictionary image. A feature vector of each keypoint of the dictionary image is calculated, including calculating a difference in brightness between the selected pairs of pixels of the dictionary image. The calculated difference in brightness is an element of the feature vector. Keypoints of a target image are detected.

    摘要翻译: 提供实施例以搜索对应于目标图像的字典图像。 该方法包括检测一组字典图像中的关键点。 所述字典图像集包括至少一个具有多个像素的字典图像。 基于字典图像的检测关键点周围的像素的候选坐标,在字典图像的检测关键点中选择至少一个随机对的像素。 计算字典图像的每个关键点的特征向量,包括计算字典图像的所选择的像素对之间的亮度差。 计算出的亮度差是特征向量的一个元素。 检测目标图像的关键点。

    High speed searching for large-scale image databases

    公开(公告)号:US09836666B2

    公开(公告)日:2017-12-05

    申请号:US14806038

    申请日:2015-07-22

    摘要: Embodiments are provided to search for a dictionary image corresponding to a target image. The method includes detecting keypoints in a set of dictionary images. The set of dictionary images includes at least one dictionary image having a plurality of pixels. At least one random pair of pixels is selected among the detected keypoints of the dictionary image on the basis of candidate coordinates for pixels distributed around the detected keypoints of the dictionary image. A feature vector of each keypoint of the dictionary image is calculated, including calculating a difference in brightness between the selected pairs of pixels of the dictionary image. The calculated difference in brightness is an element of the feature vector. Keypoints of a target image are detected.

    Method for accurately determining the position and orientation of each of a plurality of identical recognition target objects in a search target image
    6.
    发明授权
    Method for accurately determining the position and orientation of each of a plurality of identical recognition target objects in a search target image 有权
    用于精确地确定搜索目标图像中的多个相同的识别目标对象中的每一个的位置和方向的方法

    公开(公告)号:US09483712B2

    公开(公告)日:2016-11-01

    申请号:US14865636

    申请日:2015-09-25

    摘要: Embodiments of the invention relate to detecting the number, position, and orientation of objects when a plurality of recognition target objects are present in a search target image. Dictionary image data is provided, including a recognition target pattern, a plurality of feature points of the recognition target pattern, and an offset (Ox, Oy) from the coordinates at the center of the image to the coordinates of the feature point. The sizes (Rt) and directions (θt) of feature vectors for the coordinates (Tx, Ty) of a plurality of feature points in the target image are also provided. The coordinates (Fx, Fy) of a virtual center point in the target image is derived. Additional virtual center points within a radius of the coordinates (Fx, Fy) is counted. Presence of a recognition target object is recognized near the virtual center point coordinates of the search target image.

    摘要翻译: 本发明的实施例涉及在搜索目标图像中存在多个识别目标对象时检测对象的数量,位置和取向。 提供字典图像数据,包括识别目标图案,识别目标图案的多个特征点,以及从图像中心的坐标到特征点的坐标的偏移(Ox,Oy)。 还提供了目标图像中的多个特征点的坐标(Tx,Ty)的特征向量的大小(Rt)和方向(θt)。 导出目标图像中虚拟中心点的坐标(Fx,Fy)。 计算坐标(Fx,Fy)半径内的其他虚拟中心点。 在搜索目标图像的虚拟中心点坐标附近识别识别目标对象的存在。

    Method for Accurately Determining the Position and Orientation of Each of a Plurality of Identical Recognition Target Objects in a Search Target Image
    8.
    发明申请
    Method for Accurately Determining the Position and Orientation of Each of a Plurality of Identical Recognition Target Objects in a Search Target Image 有权
    精确确定搜索目标图像中多个相同识别目标对象中每一个的位置和方向的方法

    公开(公告)号:US20160034781A1

    公开(公告)日:2016-02-04

    申请号:US14865636

    申请日:2015-09-25

    IPC分类号: G06K9/52 G06K9/62 G06T7/60

    摘要: Embodiments of the invention relate to detecting the number, position, and orientation of objects when a plurality of recognition target objects are present in a search target image. Dictionary image data is provided, including a recognition target pattern, a plurality of feature points of the recognition target pattern, and an offset (Ox, Oy) from the coordinates at the center of the image to the coordinates of the feature point. The sizes (Rt) and directions (θt) of feature vectors for the coordinates (Tx, Ty) of a plurality of feature points in the target image are also provided. The coordinates (Fx, Fy) of a virtual center point in the target image is derived. Additional virtual center points within a radius of the coordinates (Fx, Fy) is counted. Presence of a recognition target object is recognized near the virtual center point coordinates of the search target image.

    摘要翻译: 本发明的实施例涉及在搜索目标图像中存在多个识别目标对象时检测对象的数量,位置和取向。 提供字典图像数据,包括识别目标图案,识别目标图案的多个特征点,以及从图像中心的坐标到特征点的坐标的偏移(Ox,Oy)。 还提供了目标图像中的多个特征点的坐标(Tx,Ty)的特征向量的大小(Rt)和方向(& t; t)。 导出目标图像中虚拟中心点的坐标(Fx,Fy)。 计算坐标(Fx,Fy)半径内的其他虚拟中心点。 在搜索目标图像的虚拟中心点坐标附近识别识别目标对象的存在。