Robust integration of thermal and visual imagery for outdoor scene analysis

Author

Nandhakumar, N.

Author_Institution

Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA

fYear

1991

fDate

13-16 Oct 1991

Firstpage

99

Abstract

The author presents a statistically robust approach for multisensory computer vision. Specifically, energy exchange model parameters used to interrelate thermal and visual imagery are reliably computed. The approach extracts physically meaningful estimates of internal object properties which are useful for automated object recognition. The robust technique minimizes sensitivity to outliers caused by segmentation errors and misregistration which are endemic to multisensor fusion

Keywords

computer vision; computerised pattern recognition; computerised picture processing; statistical analysis; energy exchange model parameters; multisensor fusion; multisensory computer vision; outdoor scene analysis; pattern recognition; picture processing; thermal-visual imagery integration; Computer vision; Data mining; Energy exchange; Image analysis; Image segmentation; Layout; Linear regression; Object recognition; Robustness; Thermal engineering;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on

Conference_Location

Charlottesville, VA

Print_ISBN

0-7803-0233-8

Type

conf

DOI

10.1109/ICSMC.1991.169668

Filename

169668