Target Recognition and Features ExtractionBased on ROI and SIFT Descriptors

Jing Ma; Yuan Li; Qing Lin Wang

doi:10.4028/www.scientific.net/AMM.220-223.1153

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 220-223Target Recognition and Features ExtractionBased on...

Target Recognition and Features ExtractionBased on ROI and SIFT Descriptors

Abstract:

This paper presents a target recognition method based on SIFT features matching and image ROI technology for vision system of assembly robots. In order to accelerate target recognition method, color histogram is used to detect the region of interest in images, then SIFT algorithm is employed in the ROI to extract the features. Thereby, the image Gaussian pyramid structure is simplified and the computation cost is reduced significantly. The experimental results show that this method can quickly recognize the objects without the loss of robustness and accuracy, and can provide necessary visual feedback information for assembly robots in approaching and operating task.

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Periodical:

Applied Mechanics and Materials (Volumes 220-223)

Pages:

1153-1157

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.220-223.1153

Citation:

Cite this paper

Online since:

November 2012

Authors:

Jing Ma, Yuan Li, Qing Lin Wang

Keywords:

Feature Extraction, ROI, SIFT, Target Recognition

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