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公开(公告)号：US09008460B2
公开(公告)日：2015-04-14
申请号：US13871521
申请日：2013-04-26
Applicant: Adobe Systems Incorporated
Inventor： Elya Shechtman , Jue Wang , Hyunjoon Lee , Seungyong Lee
CPC classification number: H04N5/23229 , G06T3/00 , G06T3/608 , G06T5/00 , G06T5/006 , G06T7/80 , G06T15/20
Abstract: Techniques and apparatus for automatic upright adjustment of digital images. An automatic upright adjustment technique is described that may provide an automated approach for straightening up slanted features in an input image to improve its perceptual quality. This correction may be referred to as upright adjustment. A set of criteria based on human perception may be used in the upright adjustment. A reprojection technique that implements an optimization framework is described that yields an optimal homography for adjustment based on the criteria and adjusts the image according to new camera parameters generated by the optimization. An optimization-based camera calibration technique is described that simultaneously estimates vanishing lines and points as well as camera parameters for an image; the calibration technique may, for example, be used to generate estimates of camera parameters and vanishing points and lines that are input to the reprojection technique.
Abstract translation: 用于数字图像自动竖直调整的技术和设备。 描述了自动立式调节技术，其可以提供用于矫正输入图像中的倾斜特征的自动化方法，以提高其感知质量。 这种校正可以被称为直立调节。 可以在直立式调整中使用基于人类感知的一组标准。 描述了实现优化框架的重投影技术，其基于标准产生用于调整的最佳单应性，并且根据由优化生成的新的相机参数来调整图像。 描述了基于优化的相机校准技术，其同时估计图像的消失线和点以及相机参数; 例如，校准技术可以用于生成输入到重投影技术的相机参数和消失点和线的估计。
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52.发明申请公开(公告)号：US20140376807A1
公开(公告)日：2014-12-25
申请号：US14478932
申请日：2014-09-05
Applicant: Adobe Systems Incorporated
Inventor： Elya Shechtman , Daniel R. Goldman , Aliakbar Darabi
CPC classification number: G06K9/4652 , G06K9/00 , G06K9/6202 , G06K9/68 , G06T11/60
Abstract: Methods, apparatus, and computer-readable storage media for patch-based image synthesis using color and color gradient voting. A patch matching technique provides an extended patch search space that encompasses geometric and photometric transformations, as well as color and color gradient domain features. The photometric transformations may include gain and bias. The patch-based image synthesis techniques may also integrate image color and color gradients into the patch representation and replace conventional color averaging with a technique that performs voting for colors and color gradients and then solves a screened Poisson equation based on values for colors and color gradients when blending patch(es) with a target image.
Abstract translation: 用于使用颜色和颜色梯度投票的基于贴片的图像合成的方法，装置和计算机可读存储介质。 补丁匹配技术提供了包含几何和光度变换以及颜色和颜色渐变域特征的扩展补丁搜索空间。 光度变换可以包括增益和偏置。 基于补丁的图像合成技术还可以将图像颜色和色彩渐变集成到贴片表示中，并且用对颜色和颜色渐变进行投票的技术代替常规颜色平均化，然后基于颜色和颜色梯度的值来解决筛选的泊松方程 当将补丁与目标图像混合时。
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公开(公告)号：US20140105499A1
公开(公告)日：2014-04-17
申请号：US14056696
申请日：2013-10-17
Applicant: Adobe Systems Incorporated
Inventor： Elya Shechtman , Daniel R. Goldman , Connelly Barnes , Adam Finkelstein
IPC: G06T7/00
CPC classification number: G06T7/0081 , G06K9/6211 , G06K2009/6213 , G06T7/337
Abstract: Techniques for determining correspondence between image regions are described. A computing system stores images that are comparable to determine corresponding image patches of the images. An approximation algorithm is implemented, and for multiple image patches in a region in a first image, corresponding image patches are determined in a second image. The approximation algorithm performs iterations utilizing a nearby-pixel mapping evaluation and a random-perturbation mapping evaluation to determine and select the corresponding image patches in the second image.
Abstract translation: 描述用于确定图像区域之间的对应关系的技术。 计算系统存储可比较的图像以确定图像的相应图像块。 实现近似算法，并且对于第一图像中的区域中的多个图像块，在第二图像中确定对应的图像块。 近似算法使用附近像素映射评估和随机扰动映射评估来执行迭代，以确定并选择第二图像中的相应图像块。
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公开(公告)号：US20180365874A1
公开(公告)日：2018-12-20
申请号：US15622711
申请日：2017-06-14
Applicant: Adobe Systems Incorporated
Inventor： Sunil Hadap , Elya Shechtman , Zhixin Shu , Kalyan Sunkavalli , Mehmet Yumer
CPC classification number: G06T11/60 , G06N3/0445 , G06N3/0454 , G06N3/084 , G06N3/088 , G06T5/005 , G06T2207/20081 , G06T2207/30201
Abstract: Techniques are disclosed for performing manipulation of facial images using an artificial neural network. A facial rendering and generation network and method learns one or more compact, meaningful manifolds of facial appearance, by disentanglement of a facial image into intrinsic facial properties, and enables facial edits by traversing paths of such manifold(s). The facial rendering and generation network is able to handle a much wider range of manipulations including changes to, for example, viewpoint, lighting, expression, and even higher-level attributes like facial hair and age—aspects that cannot be represented using previous models.
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公开(公告)号：US20180350030A1
公开(公告)日：2018-12-06
申请号：US15784415
申请日：2017-10-16
Applicant: Adobe Systems Incorporated
Inventor： David Simons , Michal Lukac , Daniel Sykora , Elya Shechtman , Paul Asente , Jingwan Lu , Jakub Fiser , Ondrej Jamriska
IPC: G06T3/00 , G06T7/11 , G06T11/00 , G06T7/73 , G06T7/194 , G06T7/90 , G06T5/00 , G06T5/50 , G06T13/80
Abstract: Certain embodiments involve generating an appearance guide, a segmentation guide, and a positional guide and using one or more of the guides to synthesize a stylized image or animation. For example, a system obtains data indicating a target and a style exemplar image and generates a segmentation guide for segmenting the target image and the style exemplar image and identifying a feature of the target image and a corresponding feature of the style exemplar image. The system generates a positional guide for determining positions of the target feature and style feature relative to a common grid system. The system generates an appearance guide for modifying intensity levels and contrast values in the target image based on the style exemplar image. The system uses one or more of the guides to transfer a texture of the style feature to the corresponding target feature.
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Patent Agency Ranking
公开(公告)号：US20180211415A1
公开(公告)日：2018-07-26
申请号：US15934629
申请日：2018-03-23
Applicant: Adobe Systems Incorporated
Inventor： Siying Liu , Kalyan Sunkavalli , Nathan A. Carr , Elya Shechtman
CPC classification number: G06T11/001 , G06K9/52 , G06K9/6211 , G06T7/49
Abstract: Texture modeling techniques for image data are described. In one or more implementations, texels in image data are discovered by one or more computing devices, each texel representing an element that repeats to form a texture pattern in the image data. Regularity of the texels in the image data is modeled by the one or more computing devices to define translations and at least one other transformation of texels in relation to each other.
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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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公开(公告)号：US20180061028A1
公开(公告)日：2018-03-01
申请号：US15253655
申请日：2016-08-31
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Kalyan K. Sunkavalli , Sunil Hadap , Elya Shechtman , Zhixin Shu
CPC classification number: G06T5/50 , G06T11/00 , G06T2207/10024
Abstract: Embodiments of the present invention provide systems, methods, and computer storage media directed at relighting a target image based on a lighting effect from a reference image. In one embodiment, a target image and a reference image are received, the reference image includes a lighting effect desired to be applied to the target image. A lighting transfer is performed using color data and geometrical data associated with the reference image and color data and geometrical data associated with the target image. The lighting transfer causes generation of a relit image that corresponds with the target image having a lighting effect of the reference image. The relit image is provided for display to a user via one or more output devices. Other embodiments may be described and/or claimed.
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公开(公告)号：US09892537B2
公开(公告)日：2018-02-13
申请号：US15646509
申请日：2017-07-11
Applicant: ADOBE SYSTEMS INCORPORATED
Inventor： Sylvain Paris , Sohrab Amirghodsi , Elya Shechtman
CPC classification number: G06T11/60 , G06K9/4604 , G06K9/6215 , G06T5/005 , G06T7/12 , G06T7/136 , G06T2207/10144 , G06T2207/20112
Abstract: A healing component that heals foreground pixels with background pixels is provided. In some embodiments, the healing component is programmed or otherwise configured to respond to a single healing request by identifying a plurality of regions within a selected area and healing each region of the plurality of regions independently of other regions.
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公开(公告)号：US09852498B2
公开(公告)日：2017-12-26
申请号：US15139163
申请日：2016-04-26
Applicant: Adobe Systems Incorporated
Inventor： Steve Christopher Bako , Aliakbar Darabi , Jue Wang , Elya Shechtman , Kalyan K. Sunkavalli
CPC classification number: G06T7/90 , G06K9/18 , G06K9/40 , G06K9/4647 , G06K9/4652 , G06T5/005
Abstract: Techniques for removing artifacts, such as shadows, from document images are described. A shadow map is generated for a digital image by first determining local background colors using clusters of local pixel intensities. Then, a global reference background color is selected from all pixel intensities of the digital image. Next, a per-pixel scaling factor is determined that maps the local background colors to the global reference background color, which applies localized adjustment to the digital image to remove local shadow.
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