Dataset

SAIVT Thermal Feature Detection

Queensland University of Technology
Dr Simon Denman (Principal investigator)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.4225/09/5885890adf614&rft.title=SAIVT Thermal Feature Detection&rft.identifier=10.4225/09/5885890adf614&rft.publisher=Queensland University of Technology&rft.description=SAIVT Thermal Feature Detection Overview The SAIVT-Thermal Feature Detection Database contains a number of images suitable for evaluating the performance of feature detection and matching in the thermal image domain. The database includes conditions unique to the thermal domain such as non-uniformity noise; as well as condition common to other domains such as viewpoint changes, and compression and blur. You can read our paper on eprints. Contact Dr Simon Denman for further information. Licensing The SAIVT Thermal Feature Detection Database is © 2012 QUT and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Australia License. Attribution To attribute this database, please include the following citation: An exploration of feature detector performance in the thermal-infrared modality. Vidas, Stephen, Lakemond, Ruan, Denman, Simon, Fookes, Clinton B., Sridharan, Sridha, & Wark, Tim. (2011) 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. http://eprints.qut.edu.au/48161/ Acknowledging the database in your publications In addition to citing our paper, we kindly request that the following text be included in an acknowledgements section at the end of your publications: We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT Thermal Feature Detection Database for our research. Installing the database Download and unzip the following archive: SAIVT-ThermalFeatureDetection.tar.gz (187MB, md5sum: 73565fcc95ae987adf446dd2cbc6be4c) A copy of the publication can be found at http://eprints.qut.edu.au/48161/, and is also included in this package (Vidas 2011 - An exploration of feature detector performance in the thermal-infrared modality.pdf). Related publications of interest may be found on the following webpages: Stephen Vidas articles on eprints Other articles by Stephen Vidas. The database has the following structure: Each of the ten environments is allocated its own directory. Within most of these directories, thermal-infrared and visible-spectrum data is separated into the thermal and visible subdirectories respectively Within each of these subdirectories, a profile folder is present which contains a sequence of ideal (untransformed) images in 8-bit depth format. The thermal subdirectories also contain a pure folder which contains identical images in their original 16-bit depth format (which is difficult to visualize). Also within each thermal subdirectory there may be additional folders present. Each of these folders contain images under a single, controlled image transformation, the acronyms for which are expanded at the end of this document. The level of transformation varies (generally increasing in severity) as the numerical label for each subfolder increases. ACRONYMS: CMP Image Compression GAU Gaussian Noise NRM Histogram Normalization NUC Non-Uniformities Noise OFB Out-of-focus Blur QNT Quantization Noise ROT Image Rotation SAP Salt and Pepper Noise TOD Time of day variation VPT Viewpoint change &rft.creator=Denman, Simon &rft.date=2016&rft.edition=1&rft.coverage=Brisbane&rft_rights=© Queensland University of Technology, 2012. &rft_rights=Creative Commons Attribution-ShareAlike 3.0 Australia License. http://creativecommons.org/licenses/by-sa/4.0/&rft_subject=Feature Detection; Thermal Infrared&rft.type=dataset&rft.language=English Access the data

Licence & Rights:

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Creative Commons Attribution-ShareAlike 3.0 Australia License.
http://creativecommons.org/licenses/by-sa/4.0/

© Queensland University of Technology, 2012.

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Contact Information

Postal Address:
Dr Simon Denman
Ph: +61731389329

s.denman@qut.edu.au

Full description

SAIVT Thermal Feature Detection

Overview

The SAIVT-Thermal Feature Detection Database contains a number of images suitable for evaluating the performance of feature detection and matching in the thermal image domain.

The database includes conditions unique to the thermal domain such as non-uniformity noise; as well as condition common to other domains such as viewpoint changes, and compression and blur.

You can read our paper on eprints.

Contact Dr Simon Denman for further information.

Licensing

The SAIVT Thermal Feature Detection Database is © 2012 QUT and is licensed under the Creative Commons Attribution-ShareAlike 3.0 Australia License.

Attribution

To attribute this database, please include the following citation:

An exploration of feature detector performance in the thermal-infrared modality. Vidas, Stephen, Lakemond, Ruan, Denman, Simon, Fookes, Clinton B., Sridharan, Sridha, & Wark, Tim. (2011) 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. http://eprints.qut.edu.au/48161/

Acknowledging the database in your publications

In addition to citing our paper, we kindly request that the following text be included in an acknowledgements section at the end of your publications:

We would like to thank the SAIVT Research Labs at Queensland University of Technology (QUT) for freely supplying us with the SAIVT Thermal Feature Detection Database for our research.

Installing the database

Download and unzip the following archive:

A copy of the publication can be found at http://eprints.qut.edu.au/48161/, and is also included in this package (Vidas 2011 - An exploration of feature detector performance in the thermal-infrared modality.pdf).

Related publications of interest may be found on the following webpages:

The database has the following structure:

  • Each of the ten environments is allocated its own directory.
  • Within most of these directories, thermal-infrared and visible-spectrum data is separated into the "thermal" and "visible" subdirectories respectively
  • Within each of these subdirectories, a "profile" folder is present which contains a sequence of "ideal" (untransformed) images in 8-bit depth format.
  • The "thermal" subdirectories also contain a "pure" folder which contains identical images in their original 16-bit depth format (which is difficult to visualize).
  • Also within each "thermal" subdirectory there may be additional folders present.

Each of these folders contain images under a single, controlled image transformation, the acronyms for which are expanded at the end of this document. The level of transformation varies (generally increasing in severity) as the numerical label for each subfolder increases.

ACRONYMS:

  • CMP Image Compression
  • GAU Gaussian Noise
  • NRM Histogram Normalization
  • NUC Non-Uniformities Noise
  • OFB Out-of-focus Blur
  • QNT Quantization Noise
  • ROT Image Rotation
  • SAP Salt and Pepper Noise
  • TOD Time of day variation
  • VPT Viewpoint change
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Spatial Coverage And Location

text: Brisbane

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