MOTION-BASED LENTICULAR IMAGE DISPLAY
    2.
    发明申请
    MOTION-BASED LENTICULAR IMAGE DISPLAY 审中-公开
    基于运动的图像显示

    公开(公告)号:US20150213784A1

    公开(公告)日:2015-07-30

    申请号:US14164046

    申请日:2014-01-24

    Abstract: The display of images, such as lenticular images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to cause different views of a lenticular image to be displayed. Sensors can be used to determine the motion in order to select the appropriate view to display. Approaches can further assist the user in creating lenticular images. The user can specify various configurations in which to display different views in a lenticular. If the user is capturing the images, one or more previously-acquired images can be used as a guide to help the user to align the images. Various processing can be performed to cause the individual views of the lenticular to match as closely as possible in factors such as alignment, brightness, and color range, among other such options.

    Abstract translation: 可以通过使用基于运动的控制来帮助在有限的显示空间中显示诸如透镜图像的图像,由此用户可以旋转和/或平移计算设备,以便引起透镜图像的不同视图 被显示。 可以使用传感器来确定运动,以便选择适当的显示视图。 方法可以进一步帮助用户创建透镜图像。 用户可以指定在透镜中显示不同视图的各种配置。 如果用户正在捕获图像,则可以使用一个或多个先前获取的图像作为指导来帮助用户对准图像。 可以进行各种处理,以使得透镜的各个视图在诸如对准,亮度和颜色范围等因素之间尽可能接近地匹配,以及其他这样的选项。

    Lenticular image capture
    6.
    发明授权
    Lenticular image capture 有权
    透镜图像捕捉

    公开(公告)号:US09294670B2

    公开(公告)日:2016-03-22

    申请号:US14164027

    申请日:2014-01-24

    Abstract: The display of images, such as lenticular images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to cause different views of a lenticular image to be displayed. Sensors can be used to determine the motion in order to select the appropriate view to display. Approaches can further assist the user in creating lenticular images. The user can specify various configurations in which to display different views in a lenticular. If the user is capturing the images, one or more previously-acquired images can be used as a guide to help the user to align the images. Various processing can be performed to cause the individual views of the lenticular to match as closely as possible in factors such as alignment, brightness, and color range, among other such options.

    Abstract translation: 可以通过使用基于运动的控制来帮助在有限的显示空间中显示诸如透镜图像的图像,由此用户可以旋转和/或平移计算设备,以便引起透镜图像的不同视图 被显示。 可以使用传感器来确定运动,以便选择适当的显示视图。 方法可以进一步帮助用户创建透镜图像。 用户可以指定在透镜中显示不同视图的各种配置。 如果用户正在捕获图像,则可以使用一个或多个先前获取的图像作为指导来帮助用户对准图像。 可以进行各种处理,以使得透镜的各个视图在诸如对准,亮度和颜色范围等因素之间尽可能接近地匹配,以及其他这样的选项。

    PANORAMIC IMAGE CAPTURE
    7.
    发明申请
    PANORAMIC IMAGE CAPTURE 审中-公开
    全景图像捕获

    公开(公告)号:US20150215532A1

    公开(公告)日:2015-07-30

    申请号:US14164012

    申请日:2014-01-24

    CPC classification number: H04N5/23238 H04N5/23222 H04N5/23293

    Abstract: The display of images, such as panoramic images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to view different portions of the image, including translating or zooming within the image. Sensors can be used to determine the motion for adjusting the display. The same or other sensors can also assist a user in capturing such an image. For example, a compass can determine the relative orientation of the device and a gyroscope can determine rotation of the device, to determine an appropriate path of motion for the capture and any deviation from that path. The user can be provided with information enabling the user to follow the path with an appropriate device orientation.

    Abstract translation: 可以通过使用基于运动的控制来帮助在有限的显示空间中显示诸如全景图像的图像,由此用户可以旋转和/或平移计算设备以便观看图像的不同部分,包括 在图像中进行翻译或缩放。 传感器可用于确定调整显示的运动。 相同或其他传感器也可以帮助用户捕获这样的图像。 例如,罗盘可以确定设备的相对方向,并且陀螺仪可以确定设备的旋转,以确定用于捕获的适当的运动路径以及与该路径的任何偏差。 可以向用户提供使得用户能够以适当的设备取向跟随路径的信息。

    LENTICULAR IMAGE CAPTURE
    8.
    发明申请
    LENTICULAR IMAGE CAPTURE 有权
    透明图像捕获

    公开(公告)号:US20150215526A1

    公开(公告)日:2015-07-30

    申请号:US14164027

    申请日:2014-01-24

    Abstract: The display of images, such as lenticular images, in a limited display space can be aided through the use of motion-based control, whereby a user can rotate and/or translate a computing device in order to cause different views of a lenticular image to be displayed. Sensors can be used to determine the motion in order to select the appropriate view to display. Approaches can further assist the user in creating lenticular images. The user can specify various configurations in which to display different views in a lenticular. If the user is capturing the images, one or more previously-acquired images can be used as a guide to help the user to align the images. Various processing can be performed to cause the individual views of the lenticular to match as closely as possible in factors such as alignment, brightness, and color range, among other such options.

    Abstract translation: 可以通过使用基于运动的控制来帮助在有限的显示空间中显示诸如透镜图像的图像,由此用户可以旋转和/或平移计算设备,以便引起透镜图像的不同视图 被显示。 可以使用传感器来确定运动,以便选择适当的显示视图。 方法可以进一步帮助用户创建透镜图像。 用户可以指定在透镜中显示不同视图的各种配置。 如果用户正在捕获图像,则可以使用一个或多个先前获取的图像作为指导来帮助用户对准图像。 可以进行各种处理,以使得透镜的各个视图在诸如对准,亮度和颜色范围等因素之间尽可能接近地匹配,以及其他这样的选项。

    Enhanced image generation based on multiple images

    公开(公告)号:US09600741B1

    公开(公告)日:2017-03-21

    申请号:US14661438

    申请日:2015-03-18

    Abstract: A plurality of instances of image data can be analyzed, and favored aspects of each instance identified and utilized in generating an enhanced output image. For example, a plurality of instances of image data can be analyzed to identify metric values associated with each pixel location, such as contrast, saturation, and exposedness. A weight map corresponding to each metric is generated for each instance of image data, each weight map indicating a value for the metric at each pixel location of the instance of image data. The weight maps associated with each instance of image data are merged, and a Gaussian pyramid of the merged weight map for each instance of image data is determined along with a Laplacian pyramid for each instance of image data. The Gaussian pyramids and Laplacian pyramids are merged into a Laplacian pyramid, which is then collapsed to form an enhanced output image.

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