Unsupervised visual landmark extraction for place recognition

Evangelos Sariyanidi; Hakan Temeltas

doi:10.1117/12.920680

25 May 2012 Unsupervised visual landmark extraction for place recognition

Evangelos Sariyanidi, Hakan Temeltas

Proceedings Volume 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness; 83860F (2012) https://doi.org/10.1117/12.920680
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

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.

Citation Download Citation

Evangelos Sariyanidi and Hakan Temeltas "Unsupervised visual landmark extraction for place recognition", Proc. SPIE 8386, Full Motion Video (FMV) Workflows and Technologies for Intelligence, Surveillance, and Reconnaissance (ISR) and Situational Awareness, 83860F (25 May 2012); https://doi.org/10.1117/12.920680

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