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    • 77. 发明申请
    • Robot apparatus, face recognition method, and face recognition apparatus
    • 机器人装置,人脸识别方法和人脸识别装置
    • US20050036649A1
    • 2005-02-17
    • US10399740
    • 2002-08-21
    • Jun YokonoKohtaro SabeKenta Kawamoto
    • Jun YokonoKohtaro SabeKenta Kawamoto
    • G06K9/00
    • G06K9/00288G06K9/00221G06K9/00228
    • A robot includes a face extracting section for extracting features of a face included in an image captured by a CCD camera, and a face recognition section for recognizing the face based on a result of face extraction by the face extracting section. The face extracting section is implemented by Gabor filters that filter images using a plurality of filters that have orientation selectivity and that are associated with different frequency components. The face recognition section is implemented by a support vector machine that maps the result of face recognition to a non-linear space and that obtains a hyperplane that separates in that space to discriminate a face from a non-face. The robot is allowed to recognize a face of a user within a predetermined time under a dynamically changing environment.
    • 机器人包括:面部提取部,用于提取由CCD照相机拍摄的图像中包含的面部的特征;以及面部识别部,其基于面部提取部的面部提取的结果识别脸部。 人脸提取部分由Gabor滤波器实现,该滤波器使用具有取向选择性并且与不同频率分量相关联的多个滤波器对图像进行滤波。 脸部识别部分由支持向量机实现,该支持向量机将人脸识别的结果映射到非线性空间,并获得在该空间中分离的超平面,以将脸部与非脸部区分开。 允许机器人在动态变化的环境下在预定时间内识别用户的脸部。
    • 78. 发明授权
    • Robot apparatus and control method thereof
    • 机器人装置及其控制方法
    • US06850818B2
    • 2005-02-01
    • US10451331
    • 2002-10-22
    • Kohtaro SabeKenta Kawamoto
    • Kohtaro SabeKenta Kawamoto
    • G05B19/4097G06N3/00G05B19/04G05B19/18
    • G06N3/008G05B19/4097G05B2219/33051
    • A robot apparatus integrates individual recognition results received asynchronously and then passes the integrated information to a behavior module. Thus, handling of information in the behavior module is facilitated. Since information regarding recognized observation results is held as a memory, even if observation results are temporarily missing, it appears to an upper module that items are constantly there in perception. Accordingly, insusceptibility against recognizer errors and sensor noise is improved, so that a stable system that is not dependent on timing of notifications by recognizers is implemented. Thus, the robot apparatus integrates a plurality of recognition results from external environment and handles the integrated information as meaningful symbol information, allowing sophisticated behavior control.
    • 机器人装置将异步收集的各个识别结果进行集成,然后将综合信息传递给行为模块。 因此,促进了行为模块中的信息的处理。 由于有关识别观察结果的信息作为记忆保存,即使观察结果暂时缺失,上层模块也看到物品在感知中不断存在。 因此,提高了对识别器误差和传感器噪声的不敏感性,从而实现了不依赖于识别器的通知定时的稳定系统。 因此,机器人装置将来自外部环境的多个识别结果进行集成,并将集成信息作为有意义的符号信息进行处理,从而允许复杂的行为控制。
    • 80. 发明授权
    • Data processing device, data processing method, and program
    • 数据处理装置,数据处理方法和程序
    • US08738555B2
    • 2014-05-27
    • US13248296
    • 2011-09-29
    • Takashi HasuoKohtaro SabeKenta KawamotoYukiko Yoshiike
    • Takashi HasuoKohtaro SabeKenta KawamotoYukiko Yoshiike
    • G06F15/18
    • G06N3/006G06N99/005
    • A data processing device includes a state value calculation unit which calculates a state value of which the value increases as much as a state with a high transition probability for each state of the state transition model, an action value calculation unit which calculates an action value, of which the value increases as a transition probability increases for each state of the state transition model and each action that the agent can perform, a target state setting unit which sets a state with great unevenness in the action value among states of the state transition model to a target state that is the target to reach by action performed by the agent, and an action selection unit which selects an action of the agent so as to move toward the target state.
    • 数据处理装置包括状态值计算单元,其计算与状态转移模型的每个状态的转移概率高的状态一起增加的状态值,动作值计算单元,其计算动作值, 其中该值随状态转换模型的每个状态和代理可以执行的每个动作的转移概率增加而增加;目标状态设置单元,其在状态转换模型的状态之间设置动作值中具有很大不均匀性的状态 到作为由代理执行的动作达到的目标的目标状态;以及动作选择单元,其选择代理人的动作以朝向目标状态移动。