Where is My Cup? - Fully Automatic Detection and Recognition of Textureless Objects in Real-World Images

Olszewska, Joanna Isabelle (2015) Where is My Cup? - Fully Automatic Detection and Recognition of Textureless Objects in Real-World Images. Computer Analysis of Images and Patterns, 9256. pp. 501-512. doi:10.1007/978-3-319-23192-1_42

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Abstract

In this work, we propose a new method for fully automatic detection and recognition of textureless objects present in complex visual scenes. While most approaches only deal with shape matching, our approach considers objects both in terms of low-level features and high-level information, and represents objects' view-based templates as trees. Multilevel-matching increases algorithm robustness, while the new tree structure of the template reduces its computational burden. We have evaluated our algorithm on the CMU dataset consisting of objects under arbitrary viewpoints and in cluttered environment. Our proposed approach has shown excellent performance, outperforming state-of-the-art methods.

Item Type:	Article
Article Type:	Article
Uncontrolled Keywords:	Object detection; Object recognition; Template; Tree; Active contours; Automatic scene understanding; Robotics
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Research Priority Areas:	Applied Business & Technology
Depositing User:	Susan Turner
Date Deposited:	22 Jan 2016 16:13
Last Modified:	31 Aug 2023 08:01
URI:	https://eprints.glos.ac.uk/id/eprint/3022

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