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    • 1. 发明申请
    • AUTO-FOCUS CALIBRATION FOR IMAGE CAPTURE DEVICE
    • 图像捕获设备的自动对焦校准
    • WO2009103000A3
    • 2010-04-01
    • PCT/US2009034124
    • 2009-02-13
    • QUALCOMM INCLI JINGQIANGHUNG SZEPO ROBERTCHINCHUAN ANDREW CHIU
    • LI JINGQIANGHUNG SZEPO ROBERTCHINCHUAN ANDREW CHIU
    • G03B13/32H04N5/232
    • 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。
    • 2. 发明申请
    • AUTO-FOCUS CALIBRATION FOR IMAGE CAPTURE DEVICE
    • 图像捕获设备的自动对焦校准
    • WO2009103000A2
    • 2009-08-20
    • PCT/US2009/034124
    • 2009-02-13
    • QUALCOMM IncorporatedLI, JingqiangHUNG, Szepo RobertCHINCHUAN, Andrew Chiu
    • LI, JingqiangHUNG, Szepo RobertCHINCHUAN, Andrew Chiu
    • G03B13/32H04N5/232
    • 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。
    • 3. 发明授权
    • Video sensor-based automatic region-of-interest detection
    • 基于视频传感器的自动感兴趣区域检测
    • US08208758B2
    • 2012-06-26
    • US11363820
    • 2006-02-28
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • G06K9/20
    • G06K9/00234H04N1/628H04N9/643
    • The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side-information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.
    • 本公开涉及基于视频序列的视频帧内的低复杂度自动ROI检测的感兴趣区域(ROI)视频处理技术。 低复杂度的自动ROI检测可以基于视频通信设备内的视频传感器的特性。 在其他情况下,低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。 所公开的技术包括基于特定视频传感器的特性,能够在视频通信设备内调整和增强视频传感器校准,相机处理,ROI检测和ROI视频处理的视频处理技术。 所公开的技术还包括基于传感器的ROI检测技术,其使用视频传感器统计和相机处理侧信息来提高ROI检测精度。 所公开的技术还包括基于运动的ROI检测技术,其使用在视频处理中的运动估计期间获得的运动信息。
    • 5. 发明授权
    • Video frame motion-based automatic region-of-interest detection
    • 基于视频帧运动的自动感兴趣区域检测
    • US08019170B2
    • 2011-09-13
    • US11364285
    • 2006-02-28
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • Haohong WangShuxue QuanKhaled Helmi El-MalehChinchuan Andrew ChiuXiaoyun Jiang
    • G06K9/36G06K9/00H04N11/02
    • G06K9/00234H04N19/17H04N19/61
    • The disclosure is directed to techniques for region-of-interest (ROI) video processing based on low-complexity automatic ROI detection within video frames of video sequences. The low-complexity automatic ROI detection may be based on characteristics of video sensors within video communication devices. In other cases, the low-complexity automatic ROI detection may be based on motion information for a video frame and a different video frame of the video sequence. The disclosed techniques include a video processing technique capable of tuning and enhancing video sensor calibration, camera processing, ROI detection, and ROI video processing within a video communication device based on characteristics of a specific video sensor. The disclosed techniques also include a sensor-based ROI detection technique that uses video sensor statistics and camera processing side-information to improve ROI detection accuracy. The disclosed techniques also include a motion-based ROI detection technique that uses motion information obtained during motion estimation in video processing.
    • 本公开涉及基于视频序列的视频帧内的低复杂度自动ROI检测的感兴趣区域(ROI)视频处理技术。 低复杂度的自动ROI检测可以基于视频通信设备内的视频传感器的特性。 在其他情况下,低复杂度自动ROI检测可以基于视频帧的运动信息和视频序列的不同视频帧。 所公开的技术包括基于特定视频传感器的特性,能够在视频通信设备内调整和增强视频传感器校准,相机处理,ROI检测和ROI视频处理的视频处理技术。 所公开的技术还包括基于传感器的ROI检测技术,其使用视频传感器统计和相机处理侧信息来提高ROI检测精度。 所公开的技术还包括基于运动的ROI检测技术,其使用在视频处理中的运动估计期间获得的运动信息。
    • 7. 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。
    • 10. 发明授权
    • Toy robot and control system therefor
    • 玩具机器人及其控制系统
    • US06925358B2
    • 2005-08-02
    • US10372901
    • 2003-02-26
    • Shun Pui Andrew Chiu
    • Shun Pui Andrew Chiu
    • G05D1/02G06F19/00
    • G05D1/0229G05D2201/0214
    • A toy robot system includes a toy robot and a surface over which the robot can move. The surface is constructed from a number of modules of various types that may be joined together. Each module (except for spacer modules) includes at least one track segment along which the robot may move. Each module is square and each track segment extends from the center of the module to one side. A code readable by the robot is provided at the beginning of each segment so that the robot knows what type of module it is entering, and a code is provided at the center of each module so that the robot can calculate its position.
    • 玩具机器人系统包括玩具机器人和机器人可移动的表面。 表面由可以连接在一起的各种类型的模块构成。 每个模块(间隔模块除外)包括至少一个轨道段,机器人沿着该轨道段可移动。 每个模块是方形的,每个轨道段从模块的中心延伸到一侧。 机器人可读的代码在每个段的开始处提供,使得机器人知道它正在进入什么类型的模块,并且在每个模块的中心处提供代码,使得机器人可以计算其位置。