학술논문
Realization of affine SIFT real-time image processing for home service robot
Document Type
Conference
Source
2013 International Conference on System Science and Engineering (ICSSE) System Science and Engineering (ICSSE), 2013 International Conference on. :141-146 Jul, 2013
Subject
Language
ISSN
2325-0909
2325-0925
2325-0925
Abstract
This paper mainly discusses the realization of affine Scale-Invariant Feature Transform (SIFT) real-time image processing method for “May” who is a home service robot designed and implemented by aiRobots laboratory. Firstly, a six-step method is proposed to create image database. Then the SIFT algorithm is adopted to detect features with this database, the error rate of features is reduced. Integration of the six-step method and SIFT can significantly decrease time for setting up the database. Thirdly, the object-recognition vision system is built up by parallel Affine-SIFT (ASIFT) algorithm, where the OpenGL is used to reduce the calculation time of affine projection and SiftGPU (Graphics Processing Unit) is adopted to accomplish the real-time operation speed of SIFT. Finally, the real-time grasping experiments demonstrate the feasibility and validity of the proposed scheme.