Difference between revisions of "Papers and Reports"

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| Conference || || || [http://boofcv.org/techreports/2013_Abeles_SpeedingUpSURF_ISVC.bib Bib] || [http://boofcv.org/techreports/2013_Abeles_SpeedingUpSURF_ISVC.pdf Speeding Up SURF]
| Conference || || || [http://boofcv.org/techreports/2013_Abeles_SpeedingUpSURF_ISVC.bib Bib] || [http://boofcv.org/techreports/2013_Abeles_SpeedingUpSURF_ISVC.pdf Speeding Up SURF]
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| colspan="5" | Goes into details about the changes made to the SURF implementation found in BoofCVAlso fills in many gaps left in the original Authors paper.
| colspan="5" | Describes BoofCV's SURF variant and compared performanceFills in many gaps left in the original Authors paper.
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| arXiv || || || [https://arxiv.org/abs/2110.13793 Bib] || [https://arxiv.org/abs/2110.13793 Pyramidal Blur Aware X-Corner Chessboard Detector]
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| colspan="5" | Describes the x-corner chessboard detector in BoofCv starting in 0.35
|}
|}

Revision as of 19:10, 26 October 2021

The following is a list of tech reports describing the performance and implementation details of algorithms in BoofCV. To ensure stability and performance, tests are often carried out using standard datasets and/or compared against other implementations.

Citing

For your convenience, bibtex files have been provided for each document. To cite BoofCV in general you can use the following bibtex:

@misc{BoofCV2016,
author = {Abeles, Peter},
title = {BoofCV v0.25},
year = {2016},
howpublished = {http://boofcv.org/}
}

Image Feature Trackers

Type Number Website BibTex Title
Conference Bib Examination of Hybrid Image Feature Trackers
Describes and characterizes performance of hybrid point feature trackers. Example SURF-KLT.

Feature Detectors and Descriptors

Type Number Website BibTex Title
Conference Bib Speeding Up SURF
Describes BoofCV's SURF variant and compared performance. Fills in many gaps left in the original Authors paper.
arXiv Bib Pyramidal Blur Aware X-Corner Chessboard Detector
Describes the x-corner chessboard detector in BoofCv starting in 0.35