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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Vidas, S. Lakemond, R. Denman, S. Fookes, C. Sridharan, S. Wark, T. |
| Copyright Year | 2011 |
| Abstract | 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. |
| Starting Page | 217 |
| Ending Page | 224 |
| File Size | 1712106 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781457720062 |
| DOI | 10.1109/DICTA.2011.43 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-06 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | evaluation Image coding Sensitivity Detectors Quantization feature detectors Feature extraction thermal-infrared Signal to noise ratio |
| Content Type | Text |
| Resource Type | Article |
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