CNIPA.AI
返回搜索
档案

CHARACTERIZING AND IMPROVING OF IMAGE PROCESSING

发明专利审中
20权利要求 · 3 独立
§ Ⅰ

卷宗概要

发明人

Daniel Milan Lütgehetmann; Dimitri Zaganidis; Nicolas Alain Berger; Felix Schürmann

IPC 分类

G6T 7/73H4N 23/60

CPC 分类

G6T7/75G6T7/74H4N23/64G6T2207/30244

A method for characterizing correctness of image processing includes receiving images of an instance of an object, wherein the images were acquired at different relative poses, identifying positions of corresponding landmarks on the object in each of the received images, receiving information characterizing a difference in position or a difference in orientation of at least one of the instance of the object and one or more imaging devices when the images were acquired, transferring the positions of landmarks identified in a first of the images based on the difference in position or the difference in orientation, and comparing the positions of the transferred landmarks with the positions of the corresponding of the landmarks identified in a second of the received images, and characterizing a correctness of the identification of the positions of the landmarks in at least one of the received images.

原文(中文)

A method for characterizing correctness of image processing includes receiving images of an instance of an object, wherein the images were acquired at different relative poses, identifying positions of corresponding landmarks on the object in each of the received images, receiving information characterizing a difference in position or a difference in orientation of at least one of the instance of the object and one or more imaging devices when the images were acquired, transferring the positions of landmarks identified in a first of the images based on the difference in position or the difference in orientation, and comparing the positions of the transferred landmarks with the positions of the corresponding of the landmarks identified in a second of the received images, and characterizing a correctness of the identification of the positions of the landmarks in at least one of the received images.