go back

Large-Scale Real-Time Object Identification Based on Analytic Features

Stephan Hasler, Heiko Wersing, Stephan Kirstein, Edgar Körner, "Large-Scale Real-Time Object Identification Based on Analytic Features", Artificial Neural Networks – ICANN 2009, pp. 663–672, 2009.

Abstract

Inspired by biological findings, we present a system that is able to robustly identify a large number of pre-trained objects in real-time. In contrast to related work, we do not restrict the objects' pose to characteristic views but rotate them freely in hand in front of a cluttered background. We describe the essential system's ingredients, like prototype-based figure-ground segmentation, extraction of brain-like analytic features, and a simple classifier on top. Finally we analyze the performance of the system using databases of varying difficulty.



Download Bibtex file Download PDF

Search

Cookies preferences

Others

Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet.

Necessary

Necessary
Necessary cookies are absolutely essential for the website to function properly. These cookies ensure basic functionalities and security features of the website, anonymously.

Advertisement

Advertisement cookies are used to provide visitors with relevant ads and marketing campaigns. These cookies track visitors across websites and collect information to provide customized ads.

Analytics

Analytical cookies are used to understand how visitors interact with the website. These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc.

Functional

Functional cookies help to perform certain functionalities like sharing the content of the website on social media platforms, collect feedbacks, and other third-party features.

Performance

Performance cookies are used to understand and analyze the key performance indexes of the website which helps in delivering a better user experience for the visitors.