Method and system for touch shape recognition, related screen apparatus, and computer program product
    1.
    发明授权
    Method and system for touch shape recognition, related screen apparatus, and computer program product 有权
    触摸形状识别方法和系统,相关屏幕设备和计算机程序产品

    公开(公告)号:US09239643B2

    公开(公告)日:2016-01-19

    申请号:US14045905

    申请日:2013-10-04

    CPC classification number: G06F3/041 G06F3/0416 G06F2203/04104

    Abstract: An embodiment of a method of recognizing finger detection data in a detection data map produced by a touch screen includes converting the data from the x, y, z space into a three-descriptor space including: a first coordinate representative of the number of intensity peaks in the map, a second coordinate representative of the number of nodes (i.e., pixels) absorbed under one or more of the intensity peaks. A third coordinate may be selected as the angular coefficient or slope of a piecewise-linear approximating function passing through points having the numbers of nodes absorbed under the intensity peaks ordered in decreasing order over said intensity peaks, which permits singling out finger data with respect to non-finger data over the whole of the touch screen. The third coordinate may be also selected as an adjacency value representative of the extent the intensity peaks are adjacent to one another, which permits singling out finger data produced over a portion of the touch screen with respect to non-finger data produced over another portion of the touch screen.

    Abstract translation: 在由触摸屏产生的检测数据图中识别手指检测数据的方法的实施例包括将来自x,y,z空间的数据转换为三描述符空间,包括:表示强度峰值数量的第一坐标 在地图中,表示在一个或多个强度峰值下吸收的节点数(即,像素)的第二坐标。 可以选择第三坐标作为通过具有在所述强度峰值之下以降序排列的强度峰值下吸收的节点数的点的分段线性近似函数的角度系数或斜率,这允许相对于 整个触摸屏上的非手指数据。 也可以选择第三坐标作为代表强度峰值彼此相邻的程度的相邻值,这允许在触摸屏的一部分上产生的手指数据相对于在另一部分上产生的非手指数据 触摸屏。

    Method and system for finger sensing, related screen apparatus and computer program product

    公开(公告)号:US09804713B2

    公开(公告)日:2017-10-31

    申请号:US14037359

    申请日:2013-09-25

    CPC classification number: G06F3/044 G06F3/0416

    Abstract: An embodiment of a method for processing finger-detection data produced by a touch screen includes: computing the area of the finger-data map and extracting the main axes from the finger-data map, computing the lengths and orientations of the main axes, determining from the main axes a major axis having a major-axis orientation, computing a geometrical center and a center of mass of the finger-data map, computing an eccentricity of the finger-data map as a function of the lengths of the main axes outputting the major-axis orientation as indicative of the finger-orientation direction in the plane of the screen, outputting the mutual position of the geometrical center and the center of mass of the finger-data map as indicative of finger-pointing direction along the finger-orientation direction in the plane of the screen, and outputting a combination of the eccentricity and the area of the finger data map as indicative of finger orientation with respect to the plane of the screen.

    GESTURE RECOGNITION METHOD, APPARATUS AND DEVICE, COMPUTER PROGRAM PRODUCT THEREFOR

    公开(公告)号:US20180164894A1

    公开(公告)日:2018-06-14

    申请号:US15889859

    申请日:2018-02-06

    Abstract: Hand gestures, such as hand or finger hovering, in the proximity space of a sensing panel are detected from X-node and Y-node sensing signals indicative of the presence of a hand feature at corresponding row and column locations of a sensing panel. Hovering is detected by detecting the locations of maxima for a plurality of frames over a time window for sets of X-node and Y-node sensing signals by recognizing a hovering gesture if the locations of the maxima detected vary over the plurality of frames for one of the sets of sensing signals and not for the other of set. Finger shapes are distinguished over “ghosts” generated by palm or fist features by transforming the node-intensity representation for the sensing signals into a node-distance representation based on distances of detection intensities for a number of nodes under a peak for a mean point between valleys adjacent to the peak.

    Gesture recognition method, apparatus and device, computer program product therefor

    公开(公告)号:US09910503B2

    公开(公告)日:2018-03-06

    申请号:US14450105

    申请日:2014-08-01

    Abstract: In an embodiment, hand gestures, such as hand or finger hovering, in the proximity space of a sensing panel are detected from X-node and Y-node sensing signals indicative of the presence of a hand feature at corresponding row locations and column locations of a sensing panel. Hovering is detected by detecting the locations of maxima for a plurality of frames over a time window for a set of X-node sensing signals and for a set of Y-node sensing signals by recognizing a hovering gesture if the locations of the maxima detected vary over the plurality of frames for one of the sets of X-node and Y-node sensing signals while remaining stationary for the other of the sets of X-node and Y-node sensing signals(Y). Finger shapes are distinguished over “ghosts” generated by palm or fist features by transforming the node-intensity representation for the sensing signals into a node-distance representation, based on the distances of the detection intensities for a number of nodes under a peak for a mean point between the valleys adjacent to the peak.

    COMPOUND CAMERA SENSOR AND RELATED METHOD OF PROCESSING DIGITAL IMAGES
    6.
    发明申请
    COMPOUND CAMERA SENSOR AND RELATED METHOD OF PROCESSING DIGITAL IMAGES 审中-公开
    复合摄像机传感器及相关处理数字图像的方法

    公开(公告)号:US20130229540A1

    公开(公告)日:2013-09-05

    申请号:US13867866

    申请日:2013-04-22

    CPC classification number: H04N5/23238 H04N9/045 H04N9/09

    Abstract: In one embodiment, a light sensor includes four cell arrays, one for each color of the Bayer pattern, and four lenses each focusing the light coming from the scene to be captured on a respective cell array. The lenses are oriented such that at least a second green image, commonly provided by the fourth cell array, is both horizontally and vertically shifted (spaced) apart by half a pixel pitch from a first (reference) green image. In a second embodiment, the four lenses are oriented such that the red and blue images are respectively shifted (spaced) apart by half a pixel pitch from the first or reference green image, one horizontally and the other vertically, and the second green image is shifted (spaced) apart by half a pixel pitch from the reference green image both horizontally and vertically.

    Abstract translation: 在一个实施例中,光传感器包括四个单元阵列,一个用于拜耳图案的每种颜色,四个透镜将来自场景的光聚焦在相应的单元阵列上。 透镜被取向为使得通常由第四单元阵列提供的至少第二绿色图像与第一(参考)绿色图像水平和垂直地移位(间隔开)半个像素间距。 在第二实施例中,四个透镜被定向成使得红色和蓝色图像分别从第一或参考绿色图像分开移位(间隔开)半个像素间距,一个水平方向和另一个垂直方向偏移,并且第二绿色图像是 在参考绿色图像水平和垂直方向上移动(间隔开)半个像素间距。

    Gesture recognition method, apparatus and device, computer program product therefor

    公开(公告)号:US10551934B2

    公开(公告)日:2020-02-04

    申请号:US15889859

    申请日:2018-02-06

    Abstract: Hand gestures, such as hand or finger hovering, in the proximity space of a sensing panel are detected from X-node and Y-node sensing signals indicative of the presence of a hand feature at corresponding row and column locations of a sensing panel. Hovering is detected by detecting the locations of maxima for a plurality of frames over a time window for sets of X-node and Y-node sensing signals by recognizing a hovering gesture if the locations of the maxima detected vary over the plurality of frames for one of the sets of sensing signals and not for the other of set. Finger shapes are distinguished over “ghosts” generated by palm or fist features by transforming the node-intensity representation for the sensing signals into a node-distance representation based on distances of detection intensities for a number of nodes under a peak for a mean point between valleys adjacent to the peak.

    Gesture recognition method, apparatus and device, computer program product therefor

    公开(公告)号:US09971429B2

    公开(公告)日:2018-05-15

    申请号:US14450088

    申请日:2014-08-01

    Abstract: In an embodiment, hand gestures, such as hand or finger hovering, in the proximity space of a sensing panel are detected from X-node and Y-node sensing signals indicative of the presence of a hand feature at corresponding row locations and column locations of a sensing panel. Hovering is detected by detecting the locations of maxima for a plurality of frames over a time window for a set of X-node sensing signals and for a set of Y-node sensing signals by recognizing a hovering gesture if the locations of the maxima detected vary over the plurality of frames for one of the sets of X-node and Y-node sensing signals while remaining stationary for the other of the sets of X-node and Y-node sensing signals. Finger shapes are distinguished over “ghosts” generated by palm or first features by transforming the node-intensity representation for the sensing signals into a node-distance representation, based on the distances of the detection intensities for a number of nodes under a peak for a mean point between the valleys adjacent to the peak.

    Compound camera sensor and related method of processing digital images
    9.
    发明授权
    Compound camera sensor and related method of processing digital images 有权
    复合摄像机传感器及相关处理数字图像的方法

    公开(公告)号:US09036048B2

    公开(公告)日:2015-05-19

    申请号:US13867866

    申请日:2013-04-22

    CPC classification number: H04N5/23238 H04N9/045 H04N9/09

    Abstract: In one embodiment, a light sensor includes four cell arrays, one for each color of the Bayer pattern, and four lenses each focusing the light coming from the scene to be captured on a respective cell array. The lenses are oriented such that at least a second green image, commonly provided by the fourth cell array, is both horizontally and vertically shifted (spaced) apart by half a pixel pitch from a first (reference) green image. In a second embodiment, the four lenses are oriented such that the red and blue images are respectively shifted (spaced) apart by half a pixel pitch from the first or reference green image, one horizontally and the other vertically, and the second green image is shifted (spaced) apart by half a pixel pitch from the reference green image both horizontally and vertically.

    Abstract translation: 在一个实施例中,光传感器包括四个单元阵列,一个用于拜耳图案的每种颜色,四个透镜将来自场景的光聚焦在相应的单元阵列上。 透镜被取向为使得通常由第四单元阵列提供的至少第二绿色图像与第一(参考)绿色图像水平和垂直地移位(间隔开)半个像素间距。 在第二实施例中,四个透镜被定向成使得红色和蓝色图像分别从第一或参考绿色图像分开移位(间隔开)半个像素间距,一个水平方向和另一个垂直方向偏移,并且第二绿色图像是 在参考绿色图像水平和垂直方向上移动(间隔开)半个像素间距。

Patent Agency Ranking