Paper Title:
Research on Method of Items Recognition Based on SURF Algorithm
  Abstract

Items detection and recognition have become one of hotspots in the field of computer vision research. Based on image features method has the advantage of low amount of information, fast running speed, high precision, and SIFT algorithm is one of them. But traditional SIFI algorithm have large amount of calculation data and spend long time to compute in terms of items recognition. Therefore, this paper come up with a method of items recognition based on SURF. This article elaborates the basic principle of SURF algorithm that firstly use SURF algorithm to extract feature points of item image, secondly adopt Euclidean distance method to find corresponding interest points of image, and finally get the image after items recognition combination with mapping relation of item image using RANSAC(Random Sample Consesus). Experimental results show that the system of item recognition based on SURF algorithm have better effect on matching recognition, higher instantaneity, better robustness.

  Info
Periodical
Chapter
Chapter 8: System Modeling and Simulation
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4630-4634
DOI
10.4028/www.scientific.net/AMM.121-126.4630
Citation
W. Y. Chen, W. Z. Xie, Y. L. Zhao, Z. B. Hao, "Research on Method of Items Recognition Based on SURF Algorithm", Applied Mechanics and Materials, Vols. 121-126, pp. 4630-4634, 2012
Online since
October 2011
Export
Price
$35.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Ji Gang Wu, Kuan Fang He, Bin Qin
Abstract:Aiming at the subpixle edge detection of speckle in autofocus for micro-machine vision, a novel accurate subpixel edge detection algorithm...
228
Authors: Ravinder Kumar, Pravin Chandra, M. Hanmandlu
Chapter 7: Machining
Abstract:This paper presents a fast and reliable algorithm for fingerprint verification. Our proposed fingerprint verification algorithm is based on...
888
Authors: Fang Jie Yu, Xin Luan, Da Lei Song, Xiu Fang Li, Hong Hong Zhou
Chapter 7: Other Measurement Methods and Its Application
Abstract:This paper presents a novel sub-pixel corner detection algorithm for camera calibration. In order to achieve high accuracy and robust...
713
Authors: Yan Wei Wang, Si Qing Zhang, Bing Lin, Hong Liang, Yan Ming Pan
Chapter 4: Modeling, Automation and Related Themes
Abstract:Feature Point Extraction Method of X-ray Image Based on Scale Invariant is proposed in this paper for industrial X-ray image with low...
667
Authors: Yun Ji Zhao, Hai Long Pei
Chapter 6: Sensors and Intelligent Instrument
Abstract:In vision-based autonomous landing system of UAV (Unmanned Aerial Vehicle), the efficiency of object detection and tracking will directly...
560