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
    • 3. 发明申请
    • FACE RECOGNITION APPARATUS AND METHODS
    • 脸部识别装置和方法
    • WO2011065952A1
    • 2011-06-03
    • PCT/US2009/066053
    • 2009-11-30
    • HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.ZHANG, TongZHANG, Wei
    • ZHANG, TongZHANG, Wei
    • G06K9/00G06T7/40
    • G06K9/6253G06K9/00221G06K9/6227
    • One or more facial recognition categories are assigned to a face region detected in an input image (24). Each of the facial recognition categories is associated with a respective set of one or more different feature extraction modules (66) and a respective set of one or more different facial recognition matching modules (76). For each of the facial recognition categories assigned to the face region, the input image (24) is processed with each of the feature extraction modules (66) associated with the facial recognition category to produce a respective facial region descriptor vector of facial region descriptor values characterizing the face region. A recognition result (96) between the face region and a reference face image (28) is determined based on application of the one or more facial recognition matching modules (76) associated with the facial recognition categories assigned to the face region to the facial region descriptor vectors produced for the face region detected in the input image (24).
    • 一个或多个面部识别类别被分配给在输入图像(24)中检测到的面部区域。 每个面部识别类别与相应的一组一个或多个不同的特征提取模块(66)和相应的一组一个或多个不同的面部识别匹配模块(76)相关联。 对于分配给面部区域的每个面部识别类别,与与面部识别类别相关联的每个特征提取模块(66)处理输入图像(24),以产生面部区域描述符值的相应面部区域描述符向量 表征脸部区域。 基于与分配给面部区域的面部识别类别相关联的一个或多个面部识别匹配模块(76)到面部区域的应用来确定面部区域和参考面部图像(28)之间的识别结果(96) 为在输入图像(24)中检测到的面部区域产生的描述符向量。
    • 4. 发明申请
    • FACE RECOGNITION APPARATUS AND METHODS
    • 脸部识别装置和方法
    • WO2011037579A1
    • 2011-03-31
    • PCT/US2009/058476
    • 2009-09-25
    • HEWLETT-PACKARD DEVELOPMENT COMPANY, L.P.ZHANG, WeiZHANG, Tong
    • ZHANG, WeiZHANG, Tong
    • G06K9/00G06T7/40
    • G06K9/00281
    • Interest regions are detected in respective images (18) having face regions labeled with respective facial part labels. For each of the detected interest regions, a respective facial region descriptor vector of facial region descriptor values characterizing the detected interest region is determined. Ones of the facial part labels are assigned to respective ones of the facial region descriptor vectors. For each of the facial part labels, a respective facial part detector (20) that detects facial region descriptor vectors corresponding to the facial part label is built. The facial part detectors (20) are associated with rules (30) that qualify segmentation results of the facial part detectors (20) based on spatial relations between interest regions detected in images and the respective face part labels assigned to the facial part detectors (20). Faces in images are detected and recognized based on application of the facial part detectors (20) to images.
    • 在具有用相应的面部标签标记的面部区域的各个图像(18)中检测兴趣区域。 对于每个检测到的感兴趣区域,确定表征检测到的兴趣区域的面部区域描述符值的相应面部区域描述符向量。 面部部分标签的一部分被分配给面部区域描述符向量中的相应的一个。 对于每个面部部分标签,构建检测与面部部分标签相对应的面部区域描述符向量的相应面部部分检测器(20)。 面部部分检测器(20)与根据图像中检测到的兴趣区域和分配给面部部分检测器的相应面部部分标签(20)之间的空间关系来限定面部部分检测器(20)的分割结果的规则(30)相关联 )。 基于面部部件检测器(20)对图像的应用来检测和识别图像中的面部。
    • 7. 发明申请
    • COMPUTATIONAL MUSIC-TEMPO ESTIMATION
    • 计算音乐 - 速度估计
    • WO2008033433A2
    • 2008-03-20
    • PCT/US2007/019876
    • 2007-09-11
    • HEWLETT-PACKARD DEVELOPMENT COMPANY L.P.CHANG, Yu-YaoSAMADANI, RaminZHANG, TongWIDDOWSON, Simon
    • CHANG, Yu-YaoSAMADANI, RaminZHANG, TongWIDDOWSON, Simon
    • G10H1/40G10H2210/076
    • Various method and system embodiments of the present invention are directed to computational estimation of a tempo for a digitally encoded musical selection. In certain embodiments of the present invention, described below, a short portion of a musical selection is analyzed to determine the tempo of the musical selection. The digitally encoded musical selection sample is computationally transformed to produce a power spectrum corresponding to the sample, in turn transformed to produce a two-dimensional strength-of-onset matrix (618). The two-dimensional strength-of-onset matrix is then transformed (806) into a set of strength-of-onset/time functions (716) for each of a corresponding set of frequency bands (704-707). The strength-of-onset/time functions are then analyzed to find a most reliable onset interval (808, 8100) that is transformed into an estimated tempo returned by the analysis (812).
    • 本发明的各种方法和系统实施例涉及用于数字编码音乐剧选择的节奏的计算估计。 在下面描述的本发明的某些实施例中,分析音乐选择的一小部分以确定音乐选择的节奏。 对数字编码的音乐选择样本进行计算变换以产生对应于样本的功率谱,其又被变换以产生二维起始强度矩阵(618)。 然后将二维起始强度矩阵变换(806)为对应的一组频带(704-707)中的每一个的一组起始强度/时间函数(716)。 然后分析发作强度/时间函数以找到转换成由分析返回的估计节奏的最可靠的发作间隔(808,8100)(812)。