公开(公告)号：US20150170000A1

公开(公告)日：2015-06-18

申请号：US14107191

申请日：2013-12-16

Applicant: Adobe Systems Incorporated

Inventor： Jianchao Yang ,  Guang Chen ,  Hailin Jin ,  Jonathan Brandt ,  Elya Shechtman ,  Aseem Omprakash Agarwala

IPC: G06K9/62

CPC classification number: G06K9/6267 ,  G06K9/6219 ,  G06K9/6282 ,  G06K9/6807

Abstract: Example systems and methods for classifying visual patterns into a plurality of classes are presented. Using reference visual patterns of known classification, at least one image or visual pattern classifier is generated, which is then employed to classify a plurality of candidate visual patterns of unknown classification. The classification scheme employed may be hierarchical or nonhierarchical. The types of visual patterns may be fonts, human faces, or any other type of visual patterns or images subject to classification.

Abstract translation: 提出了将视觉模式分类为多个类的示例系统和方法。 使用已知分类的参考视觉图案，生成至少一个图像或视觉模式分类器，然后将其用于对未知分类的多个候选视觉图案进行分类。 所使用的分类方案可以是分层的或非分层的。 视觉图案的类型可以是字体，人脸或任何其他类型的可分类的视觉图案或图像。

公开(公告)号：US20150063713A1

公开(公告)日：2015-03-05

申请号：US14012770

申请日：2013-08-28

Applicant: Adobe Systems Incorporated

Inventor： Jianchao Yang ,  Guang Chen ,  Hailin Jin ,  Jonathan Brandt ,  Elya Shechtman

IPC: G06K9/62

CPC classification number: G06K9/6267 ,  G06K9/00979 ,  G06K9/4671 ,  G06K9/6219 ,  G06K9/6298 ,  G06K9/6828

Abstract: A hierarchy machine may be configured as a clustering machine that utilizes local feature embedding to organize visual patterns into nodes that each represent one or more visual patterns. These nodes may be arranged as a hierarchy in which a node may have a parent-child relationship with one or more other nodes. The hierarchy machine may implement a node splitting and tree-learning algorithm that includes hard-splitting of nodes and soft-assignment of nodes to perform error-bounded splitting of nodes into clusters. This may enable the hierarchy machine, which may form all or part of a visual pattern recognition system, to perform large-scale visual pattern recognition, such as font recognition or facial recognition, based on a learned error-bounded tree of visual patterns.

Abstract translation: 层次机器可以被配置为利用局部特征嵌入将可视图案组织成每个表示一个或多个视觉图案的节点的聚类机器。 这些节点可以被布置为其中节点可以与一个或多个其他节点具有父子关系的层级。 层次机器可以实现节点分割和树学习算法，其包括节点的硬分割和节点的软分配，以执行节点到分簇的有界限制的分割。 这可以使得可以形成视觉图案识别系统的全部或一部分的层次机器基于学习的有界错误的视觉图案树来执行诸如字体识别或面部识别的大规模视觉模式识别。

公开(公告)号：US20130287318A1

公开(公告)日：2013-10-31

申请号：US13871521

申请日：2013-04-26

Applicant: ADOBE SYSTEMS INCORPORATED

Inventor： Elya Shechtman ,  Jue Wang ,  Hyunjoon Lee ,  Seungyong Lee

IPC: G06T3/60

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.