Publication: Retrieval and localization of multiple specific objects with hough voting based ranking and a contrario decision
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Issued Date
2013
Resource Type
File Type
application/pdf
ISSN
9168508
Other identifier(s)
2-s2.0-84889054510
Rights Holder(s)
มหาวิทยาลัยศรีนครินทรวิโรฒ
Bibliographic Citation
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. Vol E96-A, No.12 (2013), p.2717-2727
Suggested Citation
Mittrapiyanuruk P., Kaewtrakulpong P. Retrieval and localization of multiple specific objects with hough voting based ranking and a contrario decision. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences. Vol E96-A, No.12 (2013), p.2717-2727. doi:10.1587/transfun.E96.A.2717 Retrieved from: https://hdl.handle.net/20.500.14740/6805
Author(s)
Abstract
We present an algorithm for simultaneously recognizing and localizing planar textured objects in an image. The algorithm can scale efficiently with respect to a large number of objects added into the database. In contrast to the current state-of-the-art on large scale image search, our algorithm can accurately work with query images consisting of several specific objects and/or multiple instances of the same object. Our proposed algorithm consists of two major steps. The first step is to generate a set of hypotheses that provides information about the identities and the locations of objects in the image. To serve this purpose, we extend Bag-Of-Visual-Word (BOVW) image retrieval by incorporating a re-ranking scheme based on the Hough voting technique. Subsequently, in the second step, we propose a geometric verification algorithm based on A Contrario decision framework to draw out the final detection results from the generated hypotheses. We demonstrate the performance of the algorithm on the scenario of recognizing CD covers with a database consisting of more than ten thousand images of different CD covers. Our algorithm yield to the detection results of more than 90% precision and recall within a few seconds of processing time per image.Copyright © 2013 The Institute of Electronics, Information and Communication Engineers.