Joint Infrared Target Recognition and Segmentation Using a Shape Manifold-Aware Level Set
We propose new techniques for joint recognition, segmentation and pose estimation of infrared (IR) targets. The problem is formulated in a probabilistic level set framework where a shape constrained generative model is used to provide a multi-class and multi-view shape prior and where the shape mode...
Main Authors: | Liangjiang Yu, Guoliang Fan, Jiulu Gong, Joseph P. Havlicek |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-04-01
|
Series: | Sensors |
Subjects: | |
Online Access: | http://www.mdpi.com/1424-8220/15/5/10118 |
Similar Items
-
Joint Target Tracking, Recognition and Segmentation for Infrared Imagery Using a Shape Manifold-Based Level Set
by: Jiulu Gong, et al.
Published: (2014-06-01) -
Mid-Infrared Sensing of Organic Pollutants in Aqueous Environments
by: Andrew Ross, et al.
Published: (2009-08-01) -
Following Enzyme Activity with Infrared Spectroscopy
by: Saroj Kumar, et al.
Published: (2010-03-01) -
INFRARED DIAGNOSTICS ON MICRO AND NANO SCALE STRUCTURES
by: Titus, Jitto
Published: (2016) -
Changes in the infrared attenuated total reflectance (ATR) spectra of lignins from alfalfa stem with growth and development
by: Marković Jordan P., et al.
Published: (2009-01-01)