@inproceedings{6f0bfee6a291400fabb7dc587c4e9fdd,
title = "Unsupervised visual landmark extraction for place recognition",
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.",
keywords = "Saliency detection, SLAM, Visual navigation",
author = "Evangelos Sariyanidi and Hakan Temelta{\c s}",
year = "2012",
doi = "10.1117/12.920680",
language = "English",
isbn = "9780819490643",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
booktitle = "Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness",
note = "Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness ; Conference date: 23-04-2012 Through 24-04-2012",
}