An exploration of feature detector performance in the thermal-infrared modality


Autoria(s): Vidas, Stephen; Lakemond, Ruan; Denman, Simon; Fookes, Clinton B.; Sridharan, Sridha; Wark, Tim
Contribuinte(s)

Bradley, Andrew

Jackway, Paul

Gal, Yaniv

Salvado, Olivier

Data(s)

01/12/2011

Resumo

Thermal-infrared images have superior statistical properties compared with visible-spectrum images in many low-light or no-light scenarios. However, a detailed understanding of feature detector performance in the thermal modality lags behind that of the visible modality. To address this, the first comprehensive study on feature detector performance on thermal-infrared images is conducted. A dataset is presented which explores a total of ten different environments with a range of statistical properties. An investigation is conducted into the effects of several digital and physical image transformations on detector repeatability in these environments. The effect of non-uniformity noise, unique to the thermal modality, is analyzed. The accumulation of sensor non-uniformities beyond the minimum possible level was found to have only a small negative effect. A limiting of feature counts was found to improve the repeatability performance of several detectors. Most other image transformations had predictable effects on feature stability. The best-performing detector varied considerably depending on the nature of the scene and the test.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/48161/

Publicador

IEEE

Relação

http://eprints.qut.edu.au/48161/1/48161.pdf

DOI:10.1109/DICTA.2011.43

Vidas, Stephen, Lakemond, Ruan, Denman, Simon, Fookes, Clinton B., Sridharan, Sridha, & Wark, Tim (2011) An exploration of feature detector performance in the thermal-infrared modality. In Bradley, Andrew, Jackway, Paul, Gal, Yaniv, & Salvado, Olivier (Eds.) Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications, IEEE , Sheraton Noosa Resort & Spa, Noosa, QLD, pp. 217-223.

Direitos

Copyright 2011 by The Institute of Electrical and Electronics Engineers Inc.

Fonte

Faculty of Built Environment and Engineering; School of Engineering Systems

Palavras-Chave #080104 Computer Vision #080106 Image Processing #090609 Signal Processing #Thermal-infrared #Feature detectors #Evaluation
Tipo

Conference Paper