Automatic orientation adjustment of spherical panorama digital images

    公开(公告)号:US10127637B2

    公开(公告)日:2018-11-13

    申请号:US15251500

    申请日:2016-08-30

    Abstract: The present disclosure includes methods and systems for correcting distortions in spherical panorama digital images. In particular, one or more embodiments of the disclosed systems and methods correct for tilt and/or roll in a digital camera utilized to capture a spherical panorama digital images by determining a corrected orientation and generating an enhanced spherical panorama digital image based on the corrected orientation. In particular, in one or more embodiments, the disclosed systems and methods identify line segments in a spherical panorama digital image, map the line segments to a three-dimensional space, generate great circles based on the identified line segments, and determine a corrected orientation based on the generated great circles.

    Image Color and Tone Style Transfer

    公开(公告)号:US20170139572A1

    公开(公告)日:2017-05-18

    申请号:US14944019

    申请日:2015-11-17

    CPC classification number: G06F3/04845 G06F3/04842 G06F3/0488 G06T11/001

    Abstract: In embodiments of image color and tone style transfer, a computing device implements an image style transfer algorithm to generate a modified image from an input image based on a color style and a tone style of a style image. A user can select the input image that includes color features, as well as select the style image that includes an example of the color style and the tone style to transfer to the input image. A chrominance transfer function can then be applied to transfer the color style to the input image, utilizing a covariance of an input image color of the input image to control modification of the input image color. A luminance transfer function can also be applied to transfer the tone style to the input image, utilizing a tone mapping curve based on a non-linear optimization to estimate luminance parameters of the tone mapping curve.

    Image color and tone style transfer

    公开(公告)号:US09857953B2

    公开(公告)日:2018-01-02

    申请号:US14944019

    申请日:2015-11-17

    CPC classification number: G06F3/04845 G06F3/04842 G06F3/0488 G06T11/001

    Abstract: In embodiments of image color and tone style transfer, a computing device implements an image style transfer algorithm to generate a modified image from an input image based on a color style and a tone style of a style image. A user can select the input image that includes color features, as well as select the style image that includes an example of the color style and the tone style to transfer to the input image. A chrominance transfer function can then be applied to transfer the color style to the input image, utilizing a covariance of an input image color of the input image to control modification of the input image color. A luminance transfer function can also be applied to transfer the tone style to the input image, utilizing a tone mapping curve based on a non-linear optimization to estimate luminance parameters of the tone mapping curve.

    Enhancement of Skin, Including Faces, in Photographs

    公开(公告)号:US20170132459A1

    公开(公告)日:2017-05-11

    申请号:US14938568

    申请日:2015-11-11

    Abstract: An image processing application performs improved face exposure correction on an input image. The image processing application receives an input image having a face and ascertains a median luminance associated with a face region corresponding to the face. The image processing application determines whether the median luminance is less than a threshold luminance. If the median luminance is less than the threshold luminance, the application computes weights based on a spatial distance parameter and a similarity parameter associated with the median chrominance of the face region. The image processing application then computes a corrected luminance using the weights and applies the corrected luminance to the input image. The image processing application can also perform improved face color correction by utilizing stylization-induced shifts in skin tone color to control how aggressively stylization is applied to an image.

    AUTOMATIC ORIENTATION ADJUSTMENT OF SPHERICAL PANORAMA DIGITAL IMAGES

    公开(公告)号:US20190035060A1

    公开(公告)日:2019-01-31

    申请号:US16150614

    申请日:2018-10-03

    Abstract: The present disclosure includes methods and systems for correcting distortions in spherical panorama digital images. In particular, one or more embodiments of the disclosed systems and methods correct for tilt and/or roll in a digital camera utilized to capture a spherical panorama digital images by determining a corrected orientation and generating an enhanced spherical panorama digital image based on the corrected orientation. In particular, in one or more embodiments, the disclosed systems and methods identify line segments in a spherical panorama digital image, map the line segments to a three-dimensional space, generate great circles based on the identified line segments, and determine a corrected orientation based on the generated great circles.

    Material capture using imaging
    6.
    发明授权

    公开(公告)号:US10181199B2

    公开(公告)日:2019-01-15

    申请号:US15589757

    申请日:2017-05-08

    Abstract: Methods and systems are provided for performing material capture to determine properties of an imaged surface. A plurality of images can be received depicting a material surface. The plurality of images can be calibrated to align corresponding pixels of the images and determine reflectance information for at least a portion of the aligned pixels. After calibration, a set of reference materials from a material library can be selected using the calibrated images. The set of reference materials can be used to determine a material model that accurately represents properties of the material surface.

    Automatically Selecting Example Stylized Images for Image Stylization Operations Based on Semantic Content
    8.
    发明申请
    Automatically Selecting Example Stylized Images for Image Stylization Operations Based on Semantic Content 有权
    自动选择基于语义内容的图像样式化操作的示例风格化图像

    公开(公告)号:US20160364625A1

    公开(公告)日:2016-12-15

    申请号:US14735822

    申请日:2015-06-10

    CPC classification number: G06T7/60 G06K9/00624 G06T7/90 G06T11/001

    Abstract: Systems and methods are provided for content-based selection of style examples used in image stylization operations. For example, training images can be used to identify example stylized images that will generate high-quality stylized images when stylizing input images having certain types of semantic content. In one example, a processing device determines which example stylized images are more suitable for use with certain types of semantic content represented by training images. In response to receiving or otherwise accessing an input image, the processing device analyzes the semantic content of the input image, matches the input image to at least one training image with similar semantic content, and selects at least one example stylized image that has been previously matched to one or more training images having that type of semantic content. The processing device modifies color or contrast information for the input image using the selected example stylized image.

    Abstract translation: 提供了系统和方法用于基于内容的图像样式化操作中使用的样式示例的选择。 例如,训练图像可用于识别示例风格化图像,其将在对具有某些类型的语义内容的输入图像进行风格化时生成高质量的程式化图像。 在一个示例中,处理设备确定哪个示例风格化图像更适合于使用由训练图像表示的某些类型的语义内容。 响应于接收或以其他方式访问输入图像,处理设备分析输入图像的语义内容,将输入图像与具有相似语义内容的至少一个训练图像匹配,并且选择至少一个先前已经具有的示例风格化图像 与具有该类型的语义内容的一个或多个训练图像匹配。 处理装置使用所选择的示例风格化图像修改输入图像的颜色或对比度信息。

    Photometric stabilization for time-compressed video

    公开(公告)号:US10116897B2

    公开(公告)日:2018-10-30

    申请号:US15446906

    申请日:2017-03-01

    Abstract: Photometric stabilization for time-compressed video is described. Initially, video content captured by a video capturing device is time-compressed by selecting a subset of frames from the video content according to a frame sampling technique. Photometric characteristics are then stabilized across the frames of the time-compressed video. This involves determining correspondences of pixels in adjacent frames of the time-compressed video. Photometric transformations are then determined that describe how photometric characteristics (e.g., one or both of luminance and chrominance) change between the adjacent frames, given movement of objects through the captured scene. Based on the determined photometric transformations, filters are computed for smoothing photometric characteristic changes across the time-compressed video. Photometrically stabilized time-compressed video is generated from the time-compressed video by using the filters to smooth the photometric characteristic changes.

    Photometric Stabilization for Time-Compressed Video

    公开(公告)号:US20180255273A1

    公开(公告)日:2018-09-06

    申请号:US15446906

    申请日:2017-03-01

    Abstract: Photometric stabilization for time-compressed video is described. Initially, video content captured by a video capturing device is time-compressed by selecting a subset of frames from the video content according to a frame sampling technique. Photometric characteristics are then stabilized across the frames of the time-compressed video. This involves determining correspondences of pixels in adjacent frames of the time-compressed video. Photometric transformations are then determined that describe how photometric characteristics (e.g., one or both of luminance and chrominance) change between the adjacent frames, given movement of objects through the captured scene. Based on the determined photometric transformations, filters are computed for smoothing photometric characteristic changes across the time-compressed video. Photometrically stabilized time-compressed video is generated from the time-compressed video by using the filters to smooth the photometric characteristic changes.

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