In:
Key Engineering Materials, Trans Tech Publications, Ltd., Vol. 693 ( 2016-5), p. 1419-1427
Abstract:
A novel scale-invariant feature transform (SIFT) algorithm is proposed for soccer target recognition application in a robot soccer game. First, the method of generating scale space is given, extreme points are detected. This gives the precise positioning of the extraction step and the SIFT feature points. Based on the gradient and direction of the feature point neighboring pixels, a description of the key points of the vector is generated. Finally, the matching method based on feature vectors is extracted from SIFT feature points and implemented on the image of the football in a soccer game. By employing the proposed SIFT algorithm for football and stadium key feature points extraction and matching, significant increase can be achieved in the robot soccer ability to identify and locate the football.
Type of Medium:
Online Resource
ISSN:
1662-9795
DOI:
10.4028/www.scientific.net/KEM.693
DOI:
10.4028/www.scientific.net/KEM.693.1419
Language:
Unknown
Publisher:
Trans Tech Publications, Ltd.
Publication Date:
2016
detail.hit.zdb_id:
2073306-9