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Proceedings Paper

Unsupervised visual landmark extraction for place recognition
Author(s): Evangelos Sariyanidi; Hakan Temeltas
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Paper Abstract

This paper presents an approach to detect visually salient patches in order to use them for visual place recognition. We formulate the saliency detection problem as an optimization problem, and define an energy function which describes the distinctiveness of a given image patch. We employ a Branch & Bound based search technique to efficiently find the global optimum of the energy function. Moreover, we use integral images to further increase the efficiency of the approach. The proposed saliency detection technique is able to detect patches which are suitable to be used as visual landmarks, and it performs with very high efficiency.

Paper Details

Date Published: 25 May 2012
PDF: 8 pages
Proc. SPIE 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness, 83860F (25 May 2012); doi: 10.1117/12.920680
Show Author Affiliations
Evangelos Sariyanidi, Istanbul Technical Univ. (Turkey)
Hakan Temeltas, Istanbul Technical Univ. (Turkey)


Published in SPIE Proceedings Vol. 8386:
Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness
Donnie Self, Editor(s)

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