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    • 2. 发明申请
    • BLOCK-BASED IMAGE STABILIZATION
    • 基于块的图像稳定
    • US20090123082A1
    • 2009-05-14
    • US11938711
    • 2007-11-12
    • Kalin AtanssovChinchuan Andrew ChiuHau HwangHsiang-Tsun Li
    • Kalin AtanssovChinchuan Andrew ChiuHau HwangHsiang-Tsun Li
    • G06K9/36
    • G06T5/002G06T5/50G06T7/223G06T2207/20021H04N5/23267
    • This disclosure describes image stabilization techniques for devices with image capture capabilities. An image capture device may capture two or more images and combine the image using the techniques described in this disclosure. In particular, the image capture device may compute motion vectors for a plurality of blocks of pixels of one of the images. In cases, the image capture device may also interpolate or extrapolate motion vectors for individual pixels or sub-blocks of pixels using the block motion vectors. The image capture device may then average the first and second images by averaging each of the pixels of the first image with pixels of the second image that correspond to a location indicated by the plurality of motion vectors. The techniques may be particularly effective in reducing blur in image information resulting from certain movements during image capture or use of certain image capture technologies.
    • 本公开描述了具有图像捕获能力的装置的图像稳定技术。 图像捕获设备可以捕获两个或更多图像并且使用本公开中描述的技术组合图像。 特别地,图像捕获设备可以计算多个图像中的一个像素块的运动矢量。 在这种情况下,图像捕获装置还可以使用块运动矢量来内插或外推各个像素或像素子块的运动矢量。 然后,图像捕获设备可以通过对与第一图像的每个像素对应于由多个运动矢量指示的位置对应的第二图像的像素对第一和第二图像进行平均。 这些技术可以特别有效地减少在图像捕捉或使用某些图像捕捉技术期间由某些移动导致的图像信息模糊。
    • 3. 发明申请
    • IMAGE CAPTURE DEVICE WITH INTEGRATED BARCODE SCANNING
    • 具有集成条形码扫描的图像捕获设备
    • US20090212113A1
    • 2009-08-27
    • US12035644
    • 2008-02-22
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • G06K7/10
    • G06K7/14G06K7/1417G06K7/1443G06K7/1447G07G1/0045
    • This disclosure describes barcode scanning techniques for an image capture device. The image capture device may automatically detect a barcode within an image while the image capture device is operating in a non-barcode image capture mode, such a default image capture mode. In one aspect, the detection of the barcode within the image may be based on a combination of identified edges and low intensity regions within the image. The image capture device may configure, based on the detection of the barcode, one or more image capture properties associated with the image capture device to improve a quality at which the images are captured. The image capture device captures the image in accordance with the configured image capture properties. The techniques may effectively provide a universal and integrated front-end for producing improved quality images of barcodes without requiring significant interaction with a user via a complicated user interface.
    • 本公开描述了用于图像捕获设备的条形码扫描技术。 当图像捕获装置以非条形码图像捕获模式操作时,图像捕获装置可以自动检测图像内的条形码,这种默认图像拍摄模式。 在一个方面,图像内的条形码的检测可以基于图像内的识别边缘和低强度区域的组合。 图像捕获装置可以基于条形码的检测来配置与图像捕获装置相关联的一个或多个图像拍摄属性,以提高拍摄图像的质量。 图像捕获设备根据配置的图像捕获属性捕获图像。 这些技术可以有效地提供通用和集成的前端,用于产生条形码的改进的质量图像,而不需要通过复杂的用户界面与用户进行显着的交互。
    • 4. 发明授权
    • Image capture device with integrated barcode scanning
    • 具有集成条码扫描功能的图像捕捉设备
    • US08596541B2
    • 2013-12-03
    • US12035644
    • 2008-02-22
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • Chinchuan Andrew ChiuJingqiang LiHau HwangHsiang-Tsun LiStephen HortonXiaoyun JiangJoseph Cheung
    • G06K7/10
    • G06K7/14G06K7/1417G06K7/1443G06K7/1447G07G1/0045
    • This disclosure describes barcode scanning techniques for an image capture device. The image capture device may automatically detect a barcode within an image while the image capture device is operating in a non-barcode image capture mode, such a default image capture mode. In one aspect, the detection of the barcode within the image may be based on a combination of identified edges and low intensity regions within the image. The image capture device may configure, based on the detection of the barcode, one or more image capture properties associated with the image capture device to improve a quality at which the images are captured. The image capture device captures the image in accordance with the configured image capture properties. The techniques may effectively provide a universal and integrated front-end for producing improved quality images of barcodes without requiring significant interaction with a user via a complicated user interface.
    • 本公开描述了用于图像捕获设备的条形码扫描技术。 当图像捕获装置以非条形码图像捕获模式操作时,图像捕获装置可以自动检测图像内的条形码,这种默认图像拍摄模式。 在一个方面,图像内的条形码的检测可以基于图像内的识别边缘和低强度区域的组合。 图像捕获装置可以基于条形码的检测来配置与图像捕获装置相关联的一个或多个图像拍摄属性,以提高拍摄图像的质量。 图像捕获设备根据配置的图像捕获属性捕获图像。 这些技术可以有效地提供通用和集成的前端,用于产生条形码的改进的质量图像,而不需要通过复杂的用户界面与用户进行显着的交互。
    • 7. 发明授权
    • Predictive focus value calculation for image capture devices
    • 图像捕获设备的预测聚焦值计算
    • US07835637B2
    • 2010-11-16
    • US11533620
    • 2006-09-20
    • Jingqiang LiSzepo Robert HungYing Xie NoyesChinchuan Andrew Chiu
    • Jingqiang LiSzepo Robert HungYing Xie NoyesChinchuan Andrew Chiu
    • G03B13/34
    • G02B7/36H04N5/23212H04N5/3532
    • Techniques are described for predictive focus value calculation within image capture devices. Image capture devices may include digital still cameras and digital video cameras. The techniques include performing an auto-focus process within an image capture device by predicting a focus value for a scene at a lens position of a lens included in the image capture device based on a corrupt focus value for the lens position calculated from a first frame directly after lens settlement. Therefore, the auto-focus process may determine size and direction of movement for the lens to a next lens position based on the predicted valid focus value, and move the lens to the next lens position during a second frame. In this way, the techniques may move the lens to another lens position during each frame, greatly reducing auto-focus latency by potentially doubling or tripling the speed of the auto-focus process.
    • 描述了用于在图像捕获装置内预测聚焦值计算的技术。 图像捕获设备可以包括数字静态照相机和数字摄像机。 这些技术包括通过基于从第一帧计算的透镜位置的损坏聚焦值预测图像拍摄装置中包括的透镜的透镜位置处的场景的焦点值来在图像拍摄装置内执行自动对焦处理 直接在镜头结算后。 因此,自动聚焦处理可以基于预测的有效焦点值来确定透镜到下一个透镜位置的移动的尺寸和方向,并且在第二帧期间将透镜移动到下一个透镜位置。 以这种方式,这些技术可以在每个帧期间将镜头移动到另一个镜头位置,通过将自动对焦过程的速度潜在地加倍或三倍大大降低了自动对焦延迟。
    • 8. 发明授权
    • Skin color prioritized automatic focus control via sensor-dependent skin color detection
    • 皮肤颜色通过传感器相关的皮肤颜色检测优先考虑自动对焦
    • US07728904B2
    • 2010-06-01
    • US11402481
    • 2006-04-11
    • Shuxue QuanChinchuan Andrew ChiuXiaoyun Jiang
    • Shuxue QuanChinchuan Andrew ChiuXiaoyun Jiang
    • H04N5/232
    • G03B13/36G03B7/08G06K9/4652H04N5/23212
    • The disclosure is directed to techniques for automatic focus control. The automatic focus control techniques prioritize focus of a camera based on skin tone using a skin color detection approach which is intrinsically image sensor-dependent. Sensor-dependent skin color detection to support automatic skin tone prioritized focus control in a camera can enhance the focus of people in the scene. The techniques may be especially useful in digital video camera design, digital still photo camera design, and sensor applications involving people tracking. Sensor-dependent skin color detection is performed once a specific sensor is characterized by taking several raw images of a standard color test target in controlled illumination conditions. Sensor-dependent skin color detection can provide high detection precision and reliability. With sensor-dependent skin color detection, the focus of a camera can be automatically adjusted to prioritize regions of an image containing skin tones.
    • 本公开涉及用于自动聚焦控制的技术。 自动聚焦控制技术使用肤色检测方法基于肤色优先考虑摄像机的焦点,该肤色检测方法本质上是与图像传感器相关的。 传感器相关的皮肤颜色检测功能,可以在摄像机中支持自动肤色优先对焦控制,增强人们对现场的关注。 这些技术在数字摄像机设计,数码相机照相机设计和涉及人物跟踪的传感器应用中尤其有用。 一旦特定传感器的特征在于在受控照明条件下拍摄标准颜色测试目标的几个原始图像,则执行依赖于传感器的皮肤颜色检测。 传感器相关的皮肤颜色检测可以提供高检测精度和可靠性。 使用与传感器相关的皮肤颜色检测功能,可以自动调整相机的焦点,以优先考虑包含肤色的图像区域。
    • 9. 发明授权
    • Auto-focus calibration for image capture device
    • 图像采集设备的自动对焦校准
    • US08577216B2
    • 2013-11-05
    • US12030827
    • 2008-02-13
    • Jingqiang LiSzepo Robert HungChinchuan Andrew Chiu
    • Jingqiang LiSzepo Robert HungChinchuan Andrew Chiu
    • G03B3/00G03B13/00
    • H04N5/23212
    • The disclosure relates to techniques for calibration of an auto-focus process in an image capture device. The techniques may involve calibration of a lens actuator used to move a lens within a search range during an auto-focus process. For example, an image capture device may adjust reference positions for the search range based on lens positions selected for different focus conditions. The different focus conditions may include a far focus condition and a near focus condition. The focus conditions may be determined based on a detected environment in which the device is used. Detection of an indoor environment may indicate a likelihood of near object focus, while detection of an outdoor environment may indicate a likelihood of far object focus. An image capture device may detect indoor and outdoor environments based on lighting, exposure, or other conditions.
    • 本公开涉及用于在图像捕获装置中校准自动对焦过程的技术。 这些技术可以涉及在自动对焦过程期间校准用于在搜索范围内移动透镜的透镜致动器。 例如,图像拍摄装置可以基于为不同聚焦条件选择的镜头位置来调整搜索范围的参考位置。 不同的对焦条件可以包括远焦点条件和近焦点条件。 可以基于使用该设备的检测环境来确定聚焦条件。 室内环境的检测可以指示近物体聚焦的可能性,而室外环境的检测可以指示远对象聚焦的可能性。 图像捕获装置可以基于照明,曝光或其他条件检测室内和室外环境。