公开(公告)号：US09129152B2

公开(公告)日：2015-09-08

申请号：US14080010

申请日：2013-11-14

Applicant: Adobe Systems Incorporated

Inventor： Jonathan Brandt ,  Zhe Lin ,  Brandon M. Smith

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/00295 ,  G06K9/00 ,  G06K9/00268 ,  G06K9/00275 ,  G06K9/4633 ,  G06K9/6215

Abstract: In an example embodiment, for each of the image exemplars, a first location offset between an actual landmark location for a first landmark in the image exemplar and a predicted landmark location for the first landmark in the image exemplar is determined. Then, a probability that the image recognition process applied using the first feature produces an accurate identification of the first landmark in the image exemplars is determined based on the first location offsets for each of the image exemplars. A weight may then be assigned to the first feature based on the derived probability. An image recognition process may then be performed on an image, the image recognition process utilizing a voting process, for each of one or more features, for one or more landmarks in the plurality of image exemplars, the voting process for the first feature weighted according to the weight assigned to the first feature.

Abstract translation: 在示例实施例中，对于每个图像样本，确定在图像样本中的第一地标的实际地标位置与图像样本中的第一地标的预测地标位置之间的第一位置偏移。 然后，基于每个图像样本的第一位置偏移来确定使用第一特征应用的图像识别处理产生图像样本中的第一地标的精确识别的概率。 然后可以基于导出的概率将权重分配给第一特征。 然后可以对图像执行图像识别处理，对于多个图像样本中的一个或多个地标，针对一个或多个特征中的每一个利用投票处理的图像识别处理，对第一特征的投票处理根据 分配给第一个特征的权重。

公开(公告)号：US20150131873A1

公开(公告)日：2015-05-14

申请号：US14080010

申请日：2013-11-14

Applicant: Adobe Systems Incorporated

Inventor： Jonathan Brandt ,  Zhe Lin ,  Brandon M. Smith

IPC: G06K9/00 ,  G06K9/62

CPC classification number: G06K9/00295 ,  G06K9/00 ,  G06K9/00268 ,  G06K9/00275 ,  G06K9/4633 ,  G06K9/6215

Abstract: In an example embodiment, for each of the image exemplars, a first location offset between an actual landmark location for a first landmark in the image exemplar and a predicted landmark location for the first landmark in the image exemplar is determined. Then, a probability that the image recognition process applied using the first feature produces an accurate identification of the first landmark in the image exemplars is determined based on the first location offsets for each of the image exemplars. A weight may then be assigned to the first feature based on the derived probability. An image recognition process may then be performed on an image, the image recognition process utilizing a voting process, for each of one or more features, for one or more landmarks in the plurality of image exemplars, the voting process for the first feature weighted according to the weight assigned to the first feature.

Abstract translation: 在示例实施例中，对于每个图像样本，确定在图像样本中的第一地标的实际地标位置与图像样本中的第一地标的预测地标位置之间的第一位置偏移。 然后，基于每个图像样本的第一位置偏移来确定使用第一特征应用的图像识别处理产生图像样本中的第一地标的精确识别的概率。 然后可以基于导出的概率将权重分配给第一特征。 然后可以对图像执行图像识别处理，对于多个图像样本中的一个或多个地标，针对一个或多个特征中的每一个利用投票处理的图像识别处理，对第一特征的投票处理根据 分配给第一个特征的权重。