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公开(公告)号：US20180359416A1
公开(公告)日：2018-12-13
申请号：US15621444
申请日：2017-06-13
Applicant: Adobe Systems Incorporated
CPC classification number: H04N5/23245 , G06K9/00664 , G06K9/4661 , G06N3/08 , G06T5/009 , G06T15/506 , H04N5/23222 , H04N5/2351
Abstract: The present disclosure is directed toward systems and methods for predicting lighting conditions. In particular, the systems and methods described herein analyze a single low-dynamic range digital image to estimate a set of high-dynamic range lighting conditions associated with the single low-dynamic range lighting digital image. Additionally, the systems and methods described herein train a convolutional neural network to extrapolate lighting conditions from a digital image. The systems and methods also augment low-dynamic range information from the single low-dynamic range digital image by using a sky model algorithm to predict high-dynamic range lighting conditions.
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公开(公告)号：US20180130241A1
公开(公告)日：2018-05-10
申请号：US15346638
申请日：2016-11-08
Applicant: Adobe Systems Incorporated
Inventor： Kalyan Krishna Sunkavalli , Nathan Aaron Carr , Michal Lukác , Elya Shechtman
CPC classification number: G06T11/60 , G06K9/52 , G06K9/6211 , G06K9/6215 , G06K9/6276 , G06T5/005 , G06T7/49 , G06T7/68
Abstract: Image modification using detected symmetry is described. In example implementations, an image modification module detects multiple local symmetries in an original image by discovering repeated correspondences that are each related by a transformation. The transformation can include a translation, a rotation, a reflection, a scaling, or a combination thereof. Each repeated correspondence includes three patches that are similar to one another and are respectively defined by three pixels of the original image. The image modification module generates a global symmetry of the original image by analyzing an applicability to the multiple local symmetries of multiple candidate homographies contributed by the multiple local symmetries. The image modification module associates individual pixels of the original image with a global symmetry indicator to produce a global symmetry association map. The image modification module produces a manipulated image by manipulating the original image under global symmetry constraints imposed by the global symmetry association map.
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Patent Agency Ranking
公开(公告)号：US20150193973A1
公开(公告)日：2015-07-09
申请号：US14150149
申请日：2014-01-08
Applicant: Adobe Systems Incorporated
Inventor： Fabian Langguth , Kalyan Krishna Sunkavalli , Sunil Hadap
CPC classification number: G06T7/0073 , G06T7/586 , G06T2207/10004 , G06T2207/10024
Abstract: Techniques are disclosed for reconstructing the surface geometry of an object using a single image. A computing device is configured to reconstruct a surface for a colored object from a single image using surface integrability as an additional constraint. The image is captured under an illumination of three fixed colored lights that correspond to three color channels, such as red, green and blue (RGB). The RGB image can be separated into three grayscale images, with different lighting for each image, and the geometry can be reconstructed by computing the surface normals of these separate images. Depth can be estimated by integrating the surface normals.
Abstract translation: 公开了用于使用单个图像来重建物体的表面几何形状的技术。 计算设备被配置为使用表面积分作为附加约束从单个图像重建彩色对象的表面。 在三个固定的彩色光的照明下拍摄图像，对应于三个颜色通道，例如红色，绿色和蓝色（RGB）。 RGB图像可以分成三个灰度图像，每个图像具有不同的照明，并且可以通过计算这些分离的图像的表面法线来重建几何图形。 深度可以通过积分表面法线来估计。
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公开(公告)号：US10181199B2
公开(公告)日：2019-01-15
申请号：US15589757
申请日：2017-05-08
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Kalyan Krishna Sunkavalli , Sunil Hadap , Joon-Young Lee , Zhuo Hui
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.
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公开(公告)号：US10116897B2
公开(公告)日：2018-10-30
申请号：US15446906
申请日：2017-03-01
Applicant: Adobe Systems Incorporated
Inventor： Joon-Young Lee , Zhaowen Wang , Xuaner Zhang , Kalyan Krishna Sunkavalli
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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公开(公告)号：US20180255273A1
公开(公告)日：2018-09-06
申请号：US15446906
申请日：2017-03-01
Applicant: Adobe Systems Incorporated
Inventor： Joon-Young Lee , Zhaowen Wang , Xuaner Zhang , Kalyan Krishna Sunkavalli
CPC classification number: H04N5/2357 , G06T5/50 , G11B27/005 , G11B27/031 , H04N9/7908 , H04N19/85
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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公开(公告)号：US09396544B2
公开(公告)日：2016-07-19
申请号：US14150149
申请日：2014-01-08
Applicant: Adobe Systems Incorporated
Inventor： Fabian Langguth , Kalyan Krishna Sunkavalli , Sunil Hadap
IPC: G06T7/00
CPC classification number: G06T7/0073 , G06T7/586 , G06T2207/10004 , G06T2207/10024
Abstract: Techniques are disclosed for reconstructing the surface geometry of an object using a single image. A computing device is configured to reconstruct a surface for a colored object from a single image using surface integrability as an additional constraint. The image is captured under an illumination of three fixed colored lights that correspond to three color channels, such as red, green and blue (RGB). The RGB image can be separated into three grayscale images, with different lighting for each image, and the geometry can be reconstructed by computing the surface normals of these separate images. Depth can be estimated by integrating the surface normals.
Abstract translation: 公开了用于使用单个图像来重建物体的表面几何形状的技术。 计算设备被配置为使用表面积分作为附加约束从单个图像重建彩色对象的表面。 在三个固定的彩色光的照明下拍摄图像，对应于三个颜色通道，例如红色，绿色和蓝色（RGB）。 RGB图像可以分成三个灰度图像，每个图像具有不同的照明，并且可以通过计算这些分离的图像的表面法线来重建几何图形。 深度可以通过积分表面法线来估计。
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