Paper
21 October 2004 Intensity-invariant recognition, vector spaces and camouflage
Author Affiliations +
Proceedings Volume 5622, 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications; (2004) https://doi.org/10.1117/12.591671
Event: 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications, 2004, Porlamar, Venezuela
Abstract
From the point of view of vector spaces, intensity invariant pattern recognition corresponds to identifying vectors independently of their length, which means that such methods consist primarily on measuring angles between vectors in vector spaces. We describe a few such methods that have proven to be efficient for various intensity variations of targets in unsegmented natural scenes. The conventional wisdom for camouflage states that the best camouflage is one that breaks up the lines of objects, so most camouflage schemes are binary. We discuss the best methods of detecting such camouflage objects in natural scenes.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Henri H. Arsenault and Pascuala Garcia-Martinez "Intensity-invariant recognition, vector spaces and camouflage", Proc. SPIE 5622, 5th Iberoamerican Meeting on Optics and 8th Latin American Meeting on Optics, Lasers, and Their Applications, (21 October 2004); https://doi.org/10.1117/12.591671
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KEYWORDS
Camouflage

Vector spaces

Pattern recognition

Target recognition

Nonlinear filtering

Target detection

Binary data

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