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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2013 Vol.5(1): 41-46 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2013.V5.643

SIFT-based Segmentation of Multiple Instances of Low-Textured Objects

Paolo Piccinini, Andrea Prati, and Rita Cucchiara

Abstract—This paper proposes a simple yet effective approach for segmenting multiple instances of the same object for a pick-and-place application. The considered objects present several challenges, such as low texture, semi-transparent container, moving parts, and severe occlusions. Real-time constraints must be met, calling for a good trade-off between accuracy and efficiency. For all these reasons, the proposed approach is based on SIFT features and a suitable modification of the 2NN matching procedure to increase the number of available matches. Moreover, in order to reduce false segmentations, ad-hoc algorithms based on overlap detection and color similarity are used.

Index Terms—Machine vision, pick-and-place automation, object multiple instance detection, SIFT.

Paolo Piccinini is with Department of Information Engineering, University of Modena and Reggio Emilia, Strada Vignolese, 905, I-41125 Modena, Italy (email: paolo.piccinini@unimore.it)
Andrea Prati is with Department of Design and Planning of Complex Environments, University IUAV of Venice, Santa Croce 1957, I-30135 Venice, Italy (email: andrea.prati@iuav.it)
Rita Cucchiara is with Department of Engineering “Enzo Ferrari”,University of Modena and Reggio Emilia, Strada Vignolese, 905, I-41125 Modena, Italy (email: rita.cucchiara@unimore.it)

[PDF]

Cite: Paolo Piccinini, Andrea Prati, and Rita Cucchiara, "SIFT-based Segmentation of Multiple Instances of Low-Textured Objects," International Journal of Computer Theory and Engineering vol. 5, no. 1, pp. 41-46, 2013.

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