Method for recognizing and locating object
First Claim
1. A method for recognizing and locating an object, the method comprising:
- performing an offline mode process comprising steps of;
(a) analyzing a template image of the object, so that plural sampled edge points of the template image and respective gradient angles and a gravity position of the plural sampled edge points are obtained; and
(b) obtaining plural similarity score tables according to the plural sampled edge points, a predetermined detecting distance range and a predetermined gradient angle difference range;
performing an online mode process comprising steps of;
(c) analyzing a live image, so that plural edge points of the live image and respective gradient angles of the plural edge points are obtained; and
(d) calculating plural predictive gravity positions corresponding to the plural edge points of the live image, and calculating or summing up plural similarity scores corresponding to the plural predictive gravity positions according to plural similarity scores of the plural similarity score tables, wherein the predictive gravity position with the similarity scores higher than a threshold value is correlated with the gravity position of the template image, thereby recognizing and locating the object.
1 Assignment
0 Petitions
Accused Products
Abstract
A method for recognizing and locating an object includes an offline mode process and an online mode process. In the offline mode process, plural sampled edge points of a template image of the object and respective gradient angles and a gravity position of the plural sampled edge points are obtained, and plural similarity score tables are obtained according to the plural sampled edge points, a predetermined detecting distance range and a predetermined gradient angle difference range. In the online mode process, plural edge points of a live image and respective gradient angles are obtained, plural predictive gravity positions are calculated, and plural similarity scores corresponding to the plural predictive gravity positions are summed up. The predictive gravity position with the local maximum of the similarity scores higher than a threshold value is correlated with the gravity position of the template image so as to recognize and locate the object.
-
Citations
14 Claims
-
1. A method for recognizing and locating an object, the method comprising:
-
performing an offline mode process comprising steps of; (a) analyzing a template image of the object, so that plural sampled edge points of the template image and respective gradient angles and a gravity position of the plural sampled edge points are obtained; and (b) obtaining plural similarity score tables according to the plural sampled edge points, a predetermined detecting distance range and a predetermined gradient angle difference range; performing an online mode process comprising steps of; (c) analyzing a live image, so that plural edge points of the live image and respective gradient angles of the plural edge points are obtained; and (d) calculating plural predictive gravity positions corresponding to the plural edge points of the live image, and calculating or summing up plural similarity scores corresponding to the plural predictive gravity positions according to plural similarity scores of the plural similarity score tables, wherein the predictive gravity position with the similarity scores higher than a threshold value is correlated with the gravity position of the template image, thereby recognizing and locating the object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
-
Specification