公开(公告)号：US20160125261A1

公开(公告)日：2016-05-05

申请号：US14991556

申请日：2016-01-08

Applicant: TELECOM ITALIA S.p.A.

Inventor： Massimo Balestri ,  Gianluca Francini ,  Skjalg Lepsoy

IPC: G06K9/46 ,  G06K9/62

CPC classification number: G06K9/4671 ,  G06K9/4642 ,  G06K9/6202 ,  G06K9/6255 ,  G06K9/6256

Abstract: A method for processing an image is proposed. The method comprises identifying a first group of keypoints in the image. For each keypoint of the first group, the method provides for identifying at least one corresponding keypoint local feature related to said each keypoint; for said at least one keypoint local feature, calculating a corresponding local feature relevance probability; calculating a keypoint relevance probability based on the local feature relevance probabilities of said at least one local feature. The method further comprises selecting keypoints, among the keypoints of the first group, having the highest keypoint relevance probabilities to form a second group of keypoints, and exploiting the keypoints of the second group for analysing the image. The local feature relevance probability calculated for a local feature of a keypoint is obtained by comparing the value assumed by said local feature with a corresponding reference statistical distribution of values of said local feature.

Abstract translation: 提出了一种处理图像的方法。 该方法包括识别图像中的第一组关键点。 对于第一组的每个关键点，该方法提供用于识别与所述每个关键点相关的至少一个对应的关键点局部特征; 对于所述至少一个关键点局部特征，计算相应的局部特征相关概率; 基于所述至少一个局部特征的局部特征相关性概率来计算关键点相关概率。 该方法还包括：选择具有最高关键点相关性概率的第一组的关键点中的关键点，以形成第二组关键点，以及利用第二组的关键点来分析图像。 通过将所述局部特征所假设的值与所述局部特征的值的相应参考统计分布进行比较来获得针对关键点的局部特征计算的局部特征相关概率。