Digital image resampling
    31.
    发明授权

    公开(公告)号:US09600857B2

    公开(公告)日:2017-03-21

    申请号:US14010132

    申请日:2013-08-26

    Applicant: Apple Inc.

    CPC classification number: G06T3/40 G06T3/403

    Abstract: Systems, methods and computer program products are disclosed for resampling a digital image. According to an implementation, a source image can be presharpened and upsampled to a first upsampled image having a specified image size and a first level of presharpening. The source image is also presharpened and upsampled to a second upsampled image having the specified image size and second level of presharpening that is less than the first level of presharpening. The first and second upsampled images are deblurred. A binary edge mask image is generated from the deblurred, upsampled images. The binary edge mask image is dilated and blurred to generate a deep mask image. The first and second, deblurred upsampled images are blended together using the deep mask image.

    Robust image feature based video stabilization and smoothing
    32.
    发明授权
    Robust image feature based video stabilization and smoothing 有权
    强大的基于图像特征的视频稳定和平滑

    公开(公告)号:US09277129B2

    公开(公告)日:2016-03-01

    申请号:US14049118

    申请日:2013-10-08

    Applicant: Apple Inc.

    Abstract: A method of removing unwanted camera motion from a video sequence is provided. The method matches a group of feature points between each pair of consecutive video frames in the video sequence. The method calculates the motion of each matched feature point between the corresponding pair of consecutive video frames. The method calculates a set of historical metrics for each feature point. The method, for each pair of consecutive video frames, identifies a homography that defines a dominant motion between the pair of consecutive frames. The homography is identified by performing a geometrically biased historically weighted RANSAC on the calculated motion of the feature points. The geometrically biased historically weighted RANSAC gives a weight to the calculated motion of each feature point based on the historical metrics calculated for the feature point. The method removes the unwanted camera motion from the video sequence using the identified homographies.

    Abstract translation: 提供从视频序列中去除不想要的相机运动的方法。 该方法匹配视频序列中每对连续视频帧之间的一组特征点。 该方法计算相应的一对连续视频帧之间的每个匹配特征点的运动。 该方法计算每个特征点的一组历史度量。 对于每对连续的视频帧,该方法识别定义一对连续帧之间的主要运动的单应性。 通过对特征点的计算运动执行几何偏置的历史加权RANSAC来识别单应性。 几何偏差的历史加权RANSAC根据为特征点计算的历史指标给出每个特征点的计算运动的权重。 该方法使用识别的同形异义从视频序列中移除不想要的相机运动。

    Video Image Stabilization
    34.
    发明申请
    Video Image Stabilization 有权
    视频图像稳定

    公开(公告)号:US20150350548A1

    公开(公告)日:2015-12-03

    申请号:US14467987

    申请日:2014-08-25

    Applicant: Apple Inc.

    Abstract: Techniques to permit a digital image capture device to stabilize a video stream in real-time (during video capture operations) are presented. In general, techniques are disclosed for stabilizing video images using an overscan region and a look-ahead technique enabled by buffering a number of video input frames before generating a first stabilized video output frame. (Capturing a larger image than is displayed creates a buffer of pixels around the edge of an image; overscan is the term given to this buffer of pixels.) More particularly, techniques are disclosed for buffering an initial number of input frames so that a “current” frame can use motion data from both “past” and “future” frames to adjust the strength of a stabilization metric value so as to keep the current frame within its overscan. This look-ahead and look-behind capability permits a smoother stabilizing regime with fewer abrupt adjustments.

    Abstract translation: 呈现允许数字图像捕获设备实时(视频捕获操作期间)稳定视频流的技术。 通常,公开了用于使用过扫描区域稳定视频图像的技术,以及通过在生成第一稳定视频输出帧之前缓冲多个视频输入帧而启用的先行技术。 (捕获比所显示的图像更大的图像在图像的边缘周围产生像素的缓冲器;过扫描是给予该像素缓冲器的术语。)更具体地,公开了用于缓冲​​初始数量的输入帧的技术, 当前“帧可以使用来自”过去“和”未来“帧的运动数据来调整稳定度量值的强度,以便将当前帧保持在其过扫描内。 这种前瞻性和后仰能力允许更平稳的稳定方案,具有较少的突然调整。

    Barcode Recognition Using Data-Driven Classifier
    35.
    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。

    REGISTRATION BETWEEN ACTUAL MOBILE DEVICE POSITION AND ENVIRONMENTAL MODEL

    公开(公告)号:US20210118238A1

    公开(公告)日:2021-04-22

    申请号:US17138303

    申请日:2020-12-30

    Applicant: Apple Inc.

    Abstract: A user interface enables a user to calibrate the position of a three dimensional model with a real-world environment represented by that model. Using a device's sensor, the device's location and orientation is determined. A video image of the device's environment is displayed on the device's display. The device overlays a representation of an object from a virtual reality model on the video image. The position of the overlaid representation is determined based on the device's location and orientation. In response to user input, the device adjusts a position of the overlaid representation relative to the video image.

    Robust image feature based video stabilization and smoothing

    公开(公告)号:US09661228B1

    公开(公告)日:2017-05-23

    申请号:US15012106

    申请日:2016-02-01

    Applicant: Apple Inc.

    Abstract: A method of removing unwanted camera motion from a video sequence is provided. The method matches a group of feature points between each pair of consecutive video frames in the video sequence. The method calculates the motion of each matched feature point between the corresponding pair of consecutive video frames. The method calculates a set of historical metrics for each feature point. The method, for each pair of consecutive video frames, identifies a homography that defines a dominant motion between the pair of consecutive frames. The homography is identified by performing a geometrically biased historically weighted RANSAC on the calculated motion of the feature points. The geometrically biased historically weighted RANSAC gives a weight to the calculated motion of each feature point based on the historical metrics calculated for the feature point. The method removes the unwanted camera motion from the video sequence by using the identified homographies.

    Barcode recognition using data-driven classifier
    40.
    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。

Patent Agency Ranking