会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明申请
    • A MOTION DETECTION METHOD FOR A VIDEO PROCESSING SYSTEM
    • 一种视频处理系统的运动检测方法
    • WO2013093731A1
    • 2013-06-27
    • PCT/IB2012/057278
    • 2012-12-13
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.
    • GENG, DiHEINRICH, AdrienneZNAMENSKIY, Dmitry NikolayevichDE HAAN, Gerard
    • G06T7/20G06K9/00
    • G06K9/6231G06T7/223G06T2207/20028G06T2207/30196G06T2207/30232
    • The present invention relates to a motion detection method for a video processing system, the method comprising: - receiving (201) a first group of pixels of a first image (601, 701, 801, 901) and a corresponding group of pixels of a second image (603, 703, 803, 903); - determining (203) a first metric (619, 719) measuring difference between the first group of pixels (601, 701, 801, 901) and the corresponding group of pixels (603, 703, 803, 903), wherein the first metric determination may also receive neighboring pixels of the first group of pixels and neighboring pixels of the corresponding group of pixels; - classifying (205) the first group of pixels (601, 701, 801, 901) as a motion candidate type one if the value of the first metric (619,719) is higher than a first threshold value (617, 717); - estimating (207) a motion vector for the first group of pixels, wherein the motion estimation may also receive neighboring pixels of the first group of pixels and neighboring pixels of the corresponding group of pixels; - determining (209) a second metric measuring difference between the first group of pixels (601, 701, 801, 901) and the corresponding motion compensated group of pixels (805, 905), wherein the second metric determination may also receive neighboring pixels of the first group of pixels and neighboring pixels of the corresponding motion compensated group of pixels; - classifying (211) the first group of pixels (601, 701, 801, 901) as a motion candidate type two if the value of the second metric is smaller than a second threshold value; and - classifying (213) the first group of pixels (601, 701, 801, 901) as a motion group of pixels if the first group of pixels (601, 701, 801, 901) is classified as the motion candidate type one and the motion candidate type two.
    • 本发明涉及一种用于视频处理系统的运动检测方法,该方法包括: - 接收(201)第一图像的第一组像素(601,701,801,901)和相应的像素组 第二图像(603,703,803,903); - 确定(203)测量所述第一组像素(601,701,801,901)与相应的像素组(603,703,803,903)之间的差异的第一度量(619,719),其中所述第一度量 确定也可以接收相应像素组的第一组像素和相邻像素的相邻像素; - 如果第一度量(619,719)的值高于第一阈值(617,717),则将第一组像素(601,701,801,901)分类(205)为运动候选类型1。 - 估计(207)所述第一组像素的运动矢量,其中所述运动估计还可以接收所述第一组像素和所述相应像素组的相邻像素的相邻像素; - 确定(209)测量所述第一组像素(601,701,801,901)与所述对应的运动补偿像素组(805,905)之间的差异的第二度量,其中所述第二度量确定还可以接收 相应运动补偿像素组的第一组像素和相邻像素; - 如果所述第二度量的值小于第二阈值,则将所述第一组像素(601,701,801,901)分类(211)为运动候选类型2; 以及 - 如果所述第一组像素(601,701,801,901)被分类为所述运动候选类型1,则将所述第一组像素(601,701,801,901)分类(213)为像素的运动组,并且 运动候选人类型二。
    • 4. 发明申请
    • 3D SCANNER USING STRUCTURED LIGHTING
    • 3D扫描仪使用结构照明
    • WO2012160470A1
    • 2012-11-29
    • PCT/IB2012/052347
    • 2012-05-11
    • KONINKLIJKE PHILIPS ELECTRONICS N.V.ZNAMENSKIY, Dmitry NikolayevichVLUTTERS, RuudVAN BREE, Karl Catharina
    • ZNAMENSKIY, Dmitry NikolayevichVLUTTERS, RuudVAN BREE, Karl Catharina
    • G01B11/25G06T7/00
    • G01B11/2518G01B11/2513G01B11/2536G06T7/521G06T7/586G06T2207/10012G06T2207/10028G06T2207/10152
    • A series of structured lighting patterns are projected on an object. Each successive structured lighting pattern has a first and second subset of intensity features such as edges between light and dark areas. The intensity features of the first set coincide spatially with intensity features from either the first or second subset from a preceding structured lighting pattern in the series. Image positions are detected where the intensity features of the first and second subset of the structured lighting patterns are visible in the images. Image positions where the intensity features of the first subset are visible are associated with the intensity features of the first subset, based on the associated intensity features of closest detected image positions with associated intensity features in the image obtained with a preceding structured lighting pattern in said series. Image positions where the intensity features of the second subset are visible, between pairs of the image positions associated with intensity features of the first subset, with intensity features of the second subset between the intensity features associated with the pair of positions. The associated intensity features in a final structured lighting pattern of the series are used to identify the intensity features of the final structured lighting pattern for the determination of 3D surface position information.
    • 一系列结构化照明图案投影在物体上。 每个连续的结构化照明图案具有强度特征的第一和第二子集,例如在明暗区域之间的边缘。 第一组的强度特征与来自系列中的先前结构化照明模式的来自第一或第二子集的强度特征在空间上重合。 检测到图像位置,其中结构化照明图案的第一和第二子集的强度特征在图像中是可见的。 基于最近检测到的图像位置的相关联的强度特征,其中第一子集的强度特征可见的图像位置与第一子集的强度特征相关联,其中所述图像位置具有在所述 系列。 图像位置,其中第二子集的强度特征在与第一子集的强度特征相关联的图像位置对之间是可见的,其中第二子集的强度特征在与该对位置相关联的强度特征之间。 该系列的最终结构化照明模式中的相关强度特征用于识别用于确定3D表面位置信息的最终结构化照明图案的强度特征。