公开(公告)号：US09214026B2

公开(公告)日：2015-12-15

申请号：US13722825

申请日：2012-12-20

Applicant: Adobe Systems Incorporated

Inventor： Brian L. Price ,  Scott D. Cohen ,  Chenxi Zhang

IPC: G06K9/00 ,  G06T7/00

CPC classification number: G06T7/0075 ,  G06T7/11 ,  G06T7/143 ,  G06T7/593 ,  G06T2207/10012 ,  G06T2207/20076

Abstract: Belief propagation and affinity measure techniques are described. In one or more implementations, beliefs may be formed to solve a labeling problem for a node, such as to perform image processing. An affinity measure may be calculated that describes how similar the node is to another node. This affinity measure may then be used as a basis to determine whether the share the belief formed for the node with the other node to solve a labeling problem for the other node.

Abstract translation: 描述信仰传播和亲和力测量技术。 在一个或多个实现中，可以形成信念来解决节点的标签问题，例如执行图像处理。 可以计算亲和力度量，描述节点与另一个节点的相似度。 然后，该亲和测度可以用作基础，以确定共享对于具有另一个节点的节点形成的信念是否解决另一个节点的标签问题。

公开(公告)号：US20140177903A1

公开(公告)日：2014-06-26

申请号：US13722825

申请日：2012-12-20

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Brian L. Price ,  Scott D. Cohen ,  Chenxi Zhang

IPC: G06T7/00

CPC classification number: G06T7/0075 ,  G06T7/11 ,  G06T7/143 ,  G06T7/593 ,  G06T2207/10012 ,  G06T2207/20076

Abstract: Belief propagation and affinity measure techniques are described. In one or more implementations, beliefs may be formed to solve a labeling problem for a node, such as to perform image processing. An affinity measure may be calculated that describes how similar the node is to another node. This affinity measure may then be used as a basis to determine whether the share the belief formed for the node with the other node to solve a labeling problem for the other node.

Abstract translation: 描述信仰传播和亲和力测量技术。 在一个或多个实现中，可以形成信念来解决节点的标签问题，例如执行图像处理。 可以计算亲和力度量，描述节点与另一个节点的相似度。 然后，该亲和测度可以用作基础，以确定共享对于具有另一个节点的节点形成的信念是否解决另一个节点的标签问题。

公开(公告)号：US09208547B2

公开(公告)日：2015-12-08

申请号：US13720258

申请日：2012-12-19

Applicant: Adobe Systems Incorporated

Inventor： Scott D. Cohen ,  Brian L. Price ,  Chenxi Zhang

IPC: G06K9/40 ,  H04N15/00 ,  G06T5/50 ,  G06T5/00

CPC classification number: G06T5/50 ,  G06T5/002 ,  G06T2207/10012 ,  G06T2207/20104

Abstract: Stereo correspondence smoothness tool techniques are described. In one or more implementations, an indication is received of a user-defined region in at least one of a plurality of stereoscopic images of an image scene. Stereo correspondence is calculated of image data of the plurality of stereoscopic images of the image scene, the calculation performed based at least in part on the user-defined region as indicating a smoothness in disparities to be calculated for pixels in the user-defined region.

Abstract translation: 描述了立体对应平滑度工具技术。 在一个或多个实现中，在图像场景的多个立体图像中的至少一个中接收到用户定义区域的指示。 计算图像场景的多个立体图像的图像数据的立体声对应，至少部分基于用户定义的区域进行的计算，以指示要在用户定义区域中针对像素计算的差异的平滑度。

公开(公告)号：US20140169660A1

公开(公告)日：2014-06-19

申请号：US13720258

申请日：2012-12-19

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Scott D. Cohen ,  Brian L. Price ,  Chenxi Zhang

IPC: G06K9/62

CPC classification number: G06T5/50 ,  G06T5/002 ,  G06T2207/10012 ,  G06T2207/20104

Abstract: Stereo correspondence smoothness tool techniques are described. In one or more implementations, an indication is received of a user-defined region in at least one of a plurality of stereoscopic images of an image scene. Stereo correspondence is calculated of image data of the plurality of stereoscopic images of the image scene, the calculation performed based at least in part on the user-defined region as indicating a smoothness in disparities to be calculated for pixels in the user-defined region.

Abstract translation: 描述了立体对应平滑度工具技术。 在一个或多个实现中，在图像场景的多个立体图像中的至少一个中接收到用户定义区域的指示。 计算图像场景的多个立体图像的图像数据的立体声对应，至少部分基于用户定义的区域进行的计算，以指示要在用户定义区域中针对像素计算的差异的平滑度。

公开(公告)号：US20140168215A1

公开(公告)日：2014-06-19

申请号：US13720316

申请日：2012-12-19

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Scott D. Cohen ,  Brian L. Price ,  Chenxi Zhang

IPC: G06T17/00

CPC classification number: G06T7/593 ,  G06T17/00 ,  G06T17/10 ,  G06T2200/04

Abstract: Stereo correspondence model fitting techniques are described. In one or more implementations, a model may be fit to a region in at least one of a plurality of stereoscopic images of an image scene. The model may then be used as part of a stereo correspondence calculation, which may include computing disparities for the region based at least in part on correspondence to the model.

Abstract translation: 描述了立体声对应模型拟合技术。 在一个或多个实现中，模型可以适合于图像场景的多个立体图像中的至少一个中的区域。 该模型然后可以用作立体声对应计算的一部分，其可以包括至少部分地基于与模型的对应关系来计算区域的差异。