Products recognition on shop-racks from local scale-invariant features

Jacek Zawistowski; Grzegorz Kurzejamski; Piotr Garbat; Jacek Naruniec

doi:10.1117/12.2225610

29 April 2016 Products recognition on shop-racks from local scale-invariant features

Jacek Zawistowski, Grzegorz Kurzejamski, Piotr Garbat, Jacek Naruniec

Proceedings Volume 9896, Optics, Photonics and Digital Technologies for Imaging Applications IV; 989613 (2016) https://doi.org/10.1117/12.2225610
Event: SPIE Photonics Europe, 2016, Brussels, Belgium

Abstract

This paper presents a system designed for the multi-object detection purposes and adjusted for the application of product search on the market shelves. System uses well known binary keypoint detection algorithms for finding characteristic points in the image. One of the main idea is object recognition based on Implicit Shape Model method. Authors of the article proposed many improvements of the algorithm. Originally fiducial points are matched with a very simple function. This leads to the limitations in the number of objects parts being success- fully separated, while various methods of classification may be validated in order to achieve higher performance. Such an extension implies research on training procedure able to deal with many objects categories. Proposed solution opens a new possibilities for many algorithms demanding fast and robust multi-object recognition.

Citation Download Citation

Jacek Zawistowski, Grzegorz Kurzejamski, Piotr Garbat, and Jacek Naruniec "Products recognition on shop-racks from local scale-invariant features", Proc. SPIE 9896, Optics, Photonics and Digital Technologies for Imaging Applications IV, 989613 (29 April 2016); https://doi.org/10.1117/12.2225610

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available