LADAR recognition challenge problem

Adam Nolan; Dan Kubaki; Timothy Ross; Joshua Blackburn; Mike Bakich

doi:10.1117/12.920841

17 May 2012 LADAR recognition challenge problem

Adam Nolan, Dan Kubaki, Timothy Ross, Joshua Blackburn, Mike Bakich

Proceedings Volume 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI; 83921K (2012) https://doi.org/10.1117/12.920841
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

This paper presents a LADAR recognition challenge problem. There are two unique components of this challenge problem: the focus on condence estimates and the explicit model of the recognition output as a function of operating conditions (OCs). To promote the development of exploitation algorithms that map OCs onto condence estimates, a set of synthetic data has been generated that explicitly samples specic OC dimensions: resolution, noise, aspect, obscuration, and library. Submitted algorithms will be evaluated based on their ability to correctly estimate the condence based on OC knowledge. Tools will be provided to generate performance metrics on data sets. Participants will submit their algorithms for evaluation on a sequestered set of data. The resulting performance metrics will be made available online so participants can evaluate their algorithms relative to their peers.

Citation Download Citation

Adam Nolan, Dan Kubaki, Timothy Ross, Joshua Blackburn, and Mike Bakich "LADAR recognition challenge problem", Proc. SPIE 8392, Signal Processing, Sensor Fusion, and Target Recognition XXI, 83921K (17 May 2012); https://doi.org/10.1117/12.920841

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