Picture Collage Systems And Methods
    11.
    发明申请
    Picture Collage Systems And Methods 失效
    图片拼贴系统和方法

    公开(公告)号:US20080193048A1

    公开(公告)日:2008-08-14

    申请号:US11674243

    申请日:2007-02-13

    IPC分类号: G06K9/36

    CPC分类号: G06T11/60

    摘要: Systems and methods provide picture collage systems and methods. In one implementation, a system determines a salient region in each of multiple images and develops a Bayesian model to maximize visibility of the salient regions in a collage that overlaps the images. The Bayesian model can also minimize blank spaces in the collage and normalize the percentage of each salient region that can be visibly displayed in the collage. Images are placed with diversified rotational orientation to provide a natural artistic collage appearance. A Markov Chain Monte Carlo technique is applied to the parameters of the Bayesian model to obtain image placement, orientation, and layering. The MCMC technique can combine optimization proposals that include local, global, and pairwise samplings from a distribution of state variables.

    摘要翻译: 系统和方法提供图片拼贴系统和方法。 在一个实现中,系统确定多个图像中的每一个中的显着区域,并且开发贝叶斯模型以最大化与图像重叠的拼贴中的显着区域的可见性。 贝叶斯模型还可以将拼贴中的空白空间最小化,并将每个显着区域的百分比归一化,可以在拼贴画中显示。 图像以多样化的旋转方向放置,以提供自然的艺术拼贴外观。 将马尔科夫链蒙特卡罗技术应用于贝叶斯模型的参数,以获得图像放置,取向和分层。 MCMC技术可以结合来自状态变量分布的本地,全局和成对采样的优化提议。

    Salient object detection
    12.
    发明授权
    Salient object detection 有权
    突出物体检测

    公开(公告)号:US07940985B2

    公开(公告)日:2011-05-10

    申请号:US11759192

    申请日:2007-06-06

    IPC分类号: G06K9/34

    CPC分类号: G06K9/3233 G06K9/4638

    摘要: Methods for detecting a salient object in an input image are described. For this, the salient object in an image may be defined using a set of local, regional, and global features including multi-scale contrast, center-surround histogram, and color spatial distribution. These features are optimally combined through conditional random field learning. The learned conditional random field is then used to locate the salient object in the image. The methods can also use image segmentation, where the salient object is separated from the image background.

    摘要翻译: 描述用于检测输入图像中的突出物体的方法。 为此,可以使用一组局部,区域和全局特征来定义图像中的显着对象,包括多尺度对比度,中心环绕直方图和颜色空间分布。 这些特征通过条件随机场学习进行最佳组合。 然后使用学习的条件随机字段来定位图像中的显着对象。 该方法还可以使用图像分割,其中显着对象与图像背景分离。

    Creating optimized gradient mesh of a vector-based image from a raster-based image
    15.
    发明授权
    Creating optimized gradient mesh of a vector-based image from a raster-based image 有权
    从基于光栅的图像创建基于矢量的图像的优化梯度网格

    公开(公告)号:US08773423B2

    公开(公告)日:2014-07-08

    申请号:US11800680

    申请日:2007-05-07

    IPC分类号: G06T15/00

    CPC分类号: G06T17/20

    摘要: A method for creating an optimized gradient mesh of a vector-based image from a raster-based image. In one implementation, a set of boundaries for an object on a raster-based image may be received. An initial gradient mesh of the object may be created. A residual energy between the object on the raster-based image and a rendered initial gradient mesh may be minimized to generate an optimized gradient mesh.

    摘要翻译: 一种用于从基于光栅的图像创建基于矢量的图像的优化梯度网格的方法。 在一个实现中,可以接收基于光栅的图像上的对象的一组边界。 可以创建对象的初始渐变网格。 基于光栅的图像上的对象与渲染的初始梯度网格之间的剩余能量可以被最小化以生成优化的梯度网格。

    Scalable face image retrieval
    16.
    发明授权
    Scalable face image retrieval 有权
    可扩展的面部图像检索

    公开(公告)号:US08498455B2

    公开(公告)日:2013-07-30

    申请号:US12792750

    申请日:2010-06-03

    IPC分类号: G06K9/00

    CPC分类号: G06K9/4676 G06K9/00281

    摘要: A system for identifying individuals in digital images and for providing matching digital images is provided. A set of images that include faces of known individuals is received. Faces are detected in the images and facial components are identified in each face. Visual words corresponding to the facial components are generated, stored, and associated with identifiers of the individuals. At a later time, a user may provide an image that includes the face of one of the known individuals. Visual words are determined from the face of the individual in the provided image and matched against the stored visual words. Images associated with matching visual words are ranked and presented to the user.

    摘要翻译: 提供了一种用于识别数字图像中的个体并提供匹配的数字图像的系统。 接收包括已知个人面孔的一组图像。 在图像中检测到面部,并且在每个面部中识别面部组件。 对应于面部组件的视觉词被生成,存储并与个人的标识符相关联。 在稍后的时间,用户可以提供包括已知个体之一的脸部的图像。 视觉词是从提供的图像中的个体的脸部确定的,并且与存储的视觉词匹配。 与匹配的视觉词相关联的图像被排序并呈现给用户。

    SCALABLE FACE IMAGE RETRIEVAL
    17.
    发明申请
    SCALABLE FACE IMAGE RETRIEVAL 有权
    可扩展的脸部图像检索

    公开(公告)号:US20110299743A1

    公开(公告)日:2011-12-08

    申请号:US12792750

    申请日:2010-06-03

    IPC分类号: G06T7/00

    CPC分类号: G06K9/4676 G06K9/00281

    摘要: A system for identifying individuals in digital images and for providing matching digital images is provided. A set of images that include faces of known individuals is received. Faces are detected in the images and facial components are identified in each face. Visual words corresponding to the facial components are generated, stored, and associated with identifiers of the individuals. At a later time, a user may provide an image that includes the face of one of the known individuals. Visual words are determined from the face of the individual in the provided image and matched against the stored visual words. Images associated with matching visual words are ranked and presented to the user.

    摘要翻译: 提供了一种用于识别数字图像中的个体并提供匹配的数字图像的系统。 接收包括已知个人面孔的一组图像。 在图像中检测到面部,并且在每个面部中识别面部组件。 对应于面部组件的视觉词被生成,存储并与个人的标识符相关联。 在稍后的时间,用户可以提供包括已知个体之一的脸部的图像。 视觉词是从提供的图像中的个体的脸部确定的,并且与存储的视觉词匹配。 与匹配视觉词相关联的图像被排序并呈现给用户。

    Pop-up light field
    18.
    发明授权
    Pop-up light field 有权
    弹出光场

    公开(公告)号:US07633511B2

    公开(公告)日:2009-12-15

    申请号:US10817516

    申请日:2004-04-01

    IPC分类号: G09G5/00

    CPC分类号: G06T15/205

    摘要: Virtual views of a complex scene are produced for a user to view. The virtual views are substantially free from aliasing even when using a relatively sparse set of images of the scene. In a described implementation, a scene is split into one or more coherent layers. The boundaries of the coherent layers are propagated across a plurality of frames corresponding to the scene. The splitting may be further refined (e.g., in accordance with user feedback) to present a virtual view of the scene.

    摘要翻译: 生成复杂场景的虚拟视图,供用户查看。 即使当使用场景的相对稀疏的图像集时,虚拟视图也基本上没有混叠。 在所描述的实现中,场景被分成一个或多个相干层。 相干层的边界跨越对应于场景的多个帧传播。 可以进一步改进分割(例如,根据用户反馈)来呈现场景的虚拟视图。

    Digital cameras with luminance correction
    19.
    发明授权
    Digital cameras with luminance correction 有权
    具有亮度校正的数码相机

    公开(公告)号:US07463296B2

    公开(公告)日:2008-12-09

    申请号:US10817008

    申请日:2004-04-01

    IPC分类号: H04N5/202 H04N5/235

    摘要: Techniques are disclosed to improve quality of images that may be blurred or underexposed (e.g., because of camera shake, taken in dim lighting conditions, or taken of high action scenes). The techniques may be implemented in a digital camera, digital video camera, or a digital camera capable of capturing video. In one described implementation, a digital camera includes an image sensor, a storage device, and a processing unit. The image sensor captures two images from a same scene which are stored on the storage device. The processing unit enhances the captured images with luminance correction.

    摘要翻译: 公开了提高可能模糊或曝光不足的图像质量的技术(例如,由于相机抖动,在昏暗的照明条件下拍摄或拍摄的高动作场景)。 这些技术可以在能够捕获视频的数码相机,数字摄像机或数字照相机中实现。 在一个描述的实施方案中,数字照相机包括图像传感器,存储装置和处理单元。 图像传感器捕获存储在存储设备上的相同场景中的两个图像。 处理单元通过亮度校正来增强拍摄图像。

    Object matting using flash and no-flash images
    20.
    发明申请
    Object matting using flash and no-flash images 有权
    使用闪光灯和无闪光灯图像的对象消光

    公开(公告)号:US20070263119A1

    公开(公告)日:2007-11-15

    申请号:US11434567

    申请日:2006-05-15

    IPC分类号: H04N5/222

    CPC分类号: H04N5/275 H04N5/2354

    摘要: Foreground object matting uses flash/no-flash images pairs to obtain a flash-only image. A trimap is obtained from the flash-only image. A joint Bayesian algorithm uses the flash-only image, the trimap and one of the image of the scene taken without the flash or the image of the scene taken with the flash to generate a high quality matte that can be used to extract the foreground from the background.

    摘要翻译: 前景对象消光使用闪光/非闪光图像对来获取闪光灯图像。 从闪光灯图像获得一个微调。 联合贝叶斯算法使用仅闪光图像,微调和没有闪光灯拍摄的场景中的一个图像或用闪光灯拍摄的场景的图像,以生成可用于从 的背景。