Barcode Recognition Using Data-Driven Classifier
    11.
    发明申请
    Barcode Recognition Using Data-Driven Classifier 审中-公开
    使用数据驱动分类器的条形码识别

    公开(公告)号:US20150090797A1

    公开(公告)日:2015-04-02

    申请号:US14563949

    申请日:2014-12-08

    Applicant: Apple Inc.

    CPC classification number: G06K7/1447 G06K7/10811 G06K7/1443

    Abstract: A barcode decoding system and method are disclosed that use a data-driven classifier for transforming a potentially degraded barcode signal into a digit sequence. The disclosed implementations are robust to signal degradation through incorporation of a noise model into the classifier construction phase. The run-time computational cost is low, allowing for efficient implementations on portable devices. Implementations are disclosed for intelligent preview scaling, barcode-aware autofocus augmentation and multi-scale signal feature extraction.

    Abstract translation: 公开了一种使用数据驱动分类器将潜在恶化的条形码信号变换为数字序列的条形码解码系统和方法。 所公开的实施方式通过将噪声模型并入分类器构造阶段来稳健地信号劣化。 运行时计算成本低,允许在便携式设备上进行有效的实施。 公开了实现智能预览缩放,条形码识别自动对焦增强和多尺度信号特征提取。

    IMAGE CAPTURING DEVICE HAVING CONTINUOUS IMAGE CAPTURE
    12.
    发明申请
    IMAGE CAPTURING DEVICE HAVING CONTINUOUS IMAGE CAPTURE 审中-公开
    具有连续图像捕获的图像捕获设备

    公开(公告)号:US20150002699A1

    公开(公告)日:2015-01-01

    申请号:US14322215

    申请日:2014-07-02

    Applicant: Apple Inc.

    Abstract: Methods, devices, and systems for continuous image capturing are described herein. In one embodiment, a method includes continuously capturing a sequence of images with an image capturing device. The method may further include storing a predetermined number of the sequence of images in a buffer. The method may further include receiving a user request to capture an image. In response to the user request, the method may further include automatically selecting one of the buffered images based on an exposure time of one of the buffered images. The sequence of images is captured prior to or concurrently with receiving the user request.

    Abstract translation: 本文描述了用于连续图像捕获的方法,装置和系统。 在一个实施例中,一种方法包括用图像捕获装置连续捕获图像序列。 该方法还可以包括将预定数量的图像序列存储在缓冲器中。 该方法还可以包括接收用户捕获图像的请求。 响应于用户请求,该方法还可以包括基于缓冲图像之一的曝光时间自动选择缓冲图像之一。 图像序列在接收用户请求之前或同时被捕获。

    FRAMEWORK FOR GRAPHICS ANIMATION AND COMPOSITING OPERATIONS

    公开(公告)号:US20170309054A1

    公开(公告)日:2017-10-26

    申请号:US15428718

    申请日:2017-02-09

    Applicant: Apple Inc.

    CPC classification number: G06T13/80 G06T1/20 G06T13/00

    Abstract: A graphics animation and compositing operations framework has a layer tree for interfacing with the application and a render tree for interfacing with a render engine. Layers in the layer tree can be content, windows, views, video, images, text, media or other type of objects for an application's user interface. The application commits state changes of the layers of the layer tree. The application does not need to include explicit code for animating the changes to the layers. Instead, after a synchronization threshold has been met, an animation is determined for animating the change in state by the framework which can define a set of predetermined animations based on motion, visibility and transition. The determined animation is explicitly applied to the affected layers in the render tree. A render engine renders from the render tree into a frame buffer, synchronized with the display. Portions of the render tree changing relative to prior versions can be tracked to improve resource management.

    Framework for graphics animation and compositing operations
    16.
    发明授权
    Framework for graphics animation and compositing operations 有权
    图形动画和合成操作框架

    公开(公告)号:US09576388B2

    公开(公告)日:2017-02-21

    申请号:US15242074

    申请日:2016-08-19

    Applicant: Apple Inc.

    CPC classification number: G06T13/80 G06T1/20 G06T13/00

    Abstract: A graphics animation and compositing operations framework has a layer tree for interfacing with the application and a render tree for interfacing with a render engine. Layers in the layer tree can be content, windows, views, video, images, text, media or other type of objects for an application's user interface. The application commits state changes of the layers of the layer tree. The application does not need to include explicit code for animating the changes to the layers. Instead, after a synchronization threshold has been met, an animation is determined for animating the change in state by the framework which can define a set of predetermined animations based on motion, visibility and transition. The determined animation is explicitly applied to the affected layers in the render tree. A render engine renders from the render tree into a frame buffer, synchronized with the display. Portions of the render tree changing relative to prior versions can be tracked to improve resource management.

    Abstract translation: 图形动画和合成操作框架具有用于与应用程序接口的层树和用于与渲染引擎进行连接的渲染树。 层树中的层可以是应用程序的用户界面的内容,窗口,视图,视频,图像,文本,媒体或其他类型的对象。 应用程序提交层树的层的状态更改。 该应用程序不需要包含用于动画化图层的更改的显式代码。 相反,在满足同步阈值之后,确定用于通过框架动画化状态的动画,其可以基于运动,可见性和转换来定义一组预定动画。 确定的动画显式应用于渲染树中的受影响的图层。 渲染引擎从渲染树渲染到与显示器同步的帧缓冲区。 可以跟踪渲染树相对于先前版本更改的部分,以改进资源管理。

    Autofocus
    17.
    发明授权
    Autofocus 有权
    自动对焦

    公开(公告)号:US09477138B2

    公开(公告)日:2016-10-25

    申请号:US13914051

    申请日:2013-06-10

    Applicant: Apple Inc.

    CPC classification number: G03B13/36 H04N5/23212 H04N5/23216

    Abstract: Systems, methods, and computer readable media to provide improved autofocus operations are described. In general, techniques are disclosed that show how to improve contrast-based autofocus operations by applying a novel threshold-and-select action to window-specific focus scores. More particularly, techniques disclosed herein may evaluate a multi-window autofocus area over a burst collected group of images. For each captured image, focus scores for each window within an autofocus area may be collected, aggregated and then consolidated to identify a single focus metric and its associated lens position for each window. The window-specific focus scores may be reviewed and selection of a “best” autofocus lens position made using a selection criteria. The specified criteria may be used to bias the selection to either a front-of-plane (macro) or back-of-plane (infinity) focus position.

    Abstract translation: 描述了提供改进的自动对焦操作的系统,方法和计算机可读介质。 通常,公开了显示如何通过对窗口特定聚焦分数应用新的阈值选择动作来改进基于对比度的自动对焦操作的技术。 更具体地,本文公开的技术可以在突发收集的图像组上评估多窗口自动对焦区域。 对于每个捕获的图像,可以收集,聚合自动聚焦区域内的每个窗口的焦点分数,然后合并以识别每个窗口的单个焦点度量及其相关联的透镜位置。 可以审查特定于窗口的焦点分数,并且使用选择标准来选择“最佳”自动对焦镜头位置。 指定的标准可以用于将选择偏置到平面前(宏)或平面(无穷远)焦点位置。

    Barcode recognition using data-driven classifier
    18.
    发明授权
    Barcode recognition using data-driven classifier 有权
    使用数据驱动分类器的条形码识别

    公开(公告)号:US09396377B2

    公开(公告)日:2016-07-19

    申请号:US14563949

    申请日:2014-12-08

    Applicant: Apple Inc.

    CPC classification number: G06K7/1447 G06K7/10811 G06K7/1443

    Abstract: A barcode decoding system and method are disclosed that use a data-driven classifier for transforming a potentially degraded barcode signal into a digit sequence. The disclosed implementations are robust to signal degradation through incorporation of a noise model into the classifier construction phase. The run-time computational cost is low, allowing for efficient implementations on portable devices. Implementations are disclosed for intelligent preview scaling, barcode-aware autofocus augmentation and multi-scale signal feature extraction.

    Abstract translation: 公开了一种使用数据驱动分类器将潜在恶化的条形码信号变换为数字序列的条形码解码系统和方法。 所公开的实施方式通过将噪声模型并入分类器构造阶段来稳健地信号劣化。 运行时计算成本低,允许在便携式设备上进行有效的实施。 公开了实现智能预览缩放,条形码识别自动对焦增强和多尺度信号特征提取。

    Image capturing devices using orientation detectors to implement automatic exposure mechanisms
    19.
    发明授权
    Image capturing devices using orientation detectors to implement automatic exposure mechanisms 有权
    使用定向检测器实现自动曝光机构的图像捕获设备

    公开(公告)号:US09007485B2

    公开(公告)日:2015-04-14

    申请号:US13942313

    申请日:2013-07-15

    Applicant: Apple Inc.

    Abstract: Several methods and apparatuses for implementing automatic exposure mechanisms for image capturing devices are described. In one embodiment, an orientation detector located in the device determines orientation data for the device. The automatic exposure mechanism projects an orientation vector into an image plane of an image sensor. Next, the automatic exposure mechanism adjusts an initial position of a metering area used for automatic exposure towards a target position based on the projected orientation vector. The automatic exposure mechanism optionally dampens the adjustment of the metering area.

    Abstract translation: 描述了用于实现图像捕获设备的自动曝光机构的几种方法和装置。 在一个实施例中,位于设备中的定向检测器确定该设备的取向数据。 自动曝光机构将取向矢量投影到图像传感器的图像平面中。 接下来,自动曝光机构基于投影的取向矢量将用于自动曝光的测光区域的初始位置调整到目标位置。 自动曝光机构可选择地抑制测光区域的调节。

    Autofocus
    20.
    发明申请
    Autofocus 有权
    自动对焦

    公开(公告)号:US20140362275A1

    公开(公告)日:2014-12-11

    申请号:US13914051

    申请日:2013-06-10

    Applicant: Apple Inc.

    CPC classification number: G03B13/36 H04N5/23212 H04N5/23216

    Abstract: Systems, methods, and computer readable media to provide improved autofocus operations are described. In general, techniques are disclosed that show how to improve contrast-based autofocus operations by applying a novel threshold-and-select action to window-specific focus scores. More particularly, techniques disclosed herein may evaluate a multi-window autofocus area over a burst collected group of images. For each captured image, focus scores for each window within an autofocus area may be collected, aggregated and then consolidated to identify a single focus metric and its associated lens position for each window. The window-specific focus scores may be reviewed and selection of a “best” autofocus lens position made using a selection criteria. The specified criteria may be used to bias the selection to either a front-of-plane (macro) or back-of-plane (infinity) focus position.

    Abstract translation: 描述了提供改进的自动对焦操作的系统,方法和计算机可读介质。 通常,公开了显示如何通过对窗口特定聚焦分数应用新颖的阈值选择动作来改进基于对比度的自动对焦操作的技术。 更具体地,本文公开的技术可以在突发收集的图像组上评估多窗口自动对焦区域。 对于每个捕获的图像,可以收集,聚合自动聚焦区域内的每个窗口的聚焦分数,然后合并以识别每个窗口的单个焦点度量及其相关联的透镜位置。 可以审查特定于窗口的焦点分数,并且使用选择标准来选择“最佳”自动对焦镜头位置。 指定的标准可以用于将选择偏置到平面前(宏)或平面(无穷远)焦点位置。

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