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Merge pull request #6929 from catree:hitrate_doc

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Alexander Alekhin 2016-07-22 13:19:35 +00:00
commit df9120768d
2 changed files with 13 additions and 3 deletions
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12
doc/opencv.bib
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@ -750,7 +750,7 @@
organization = {ACM} organization = {ACM}
} }
@INPROCEEDINGS{Viola01, @INPROCEEDINGS{Viola01,
author = {Viola, Paul and Jones, Michael}, author = {Viola, Paul and Jones, Michael J.},
title = {Rapid object detection using a boosted cascade of simple features}, title = {Rapid object detection using a boosted cascade of simple features},
booktitle = {Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on}, booktitle = {Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on},
year = {2001}, year = {2001},
@ -758,6 +758,16 @@
volume = {1}, volume = {1},
organization = {IEEE} organization = {IEEE}
} }
@ARTICLE{Viola04,
author = {Viola, Paul and Jones, Michael J.},
title = {Robust real-time face detection},
journal = {International Journal of Computer Vision},
year = {2004},
volume = {57},
number = {2},
pages = {137--154},
publisher = {Kluwer Academic Publishers}
}
@INPROCEEDINGS{WJ10, @INPROCEEDINGS{WJ10,
author = {Xu, Wei and Mulligan, Jane}, author = {Xu, Wei and Mulligan, Jane},
title = {Performance evaluation of color correction approaches for automatic multi-view image and video stitching}, title = {Performance evaluation of color correction approaches for automatic multi-view image and video stitching},

4
doc/tutorials/objdetect/traincascade.markdown
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@ -288,12 +288,12 @@ Command line arguments of opencv_traincascade application grouped by purposes:
- -minHitRate \<min_hit_rate\> - -minHitRate \<min_hit_rate\>
Minimal desired hit rate for each stage of the classifier. Overall hit rate may be estimated Minimal desired hit rate for each stage of the classifier. Overall hit rate may be estimated
as (min_hit_rate\^number_of_stages). as (min_hit_rate ^ number_of_stages), @cite Viola04 §4.1.
- -maxFalseAlarmRate \<max_false_alarm_rate\> - -maxFalseAlarmRate \<max_false_alarm_rate\>
Maximal desired false alarm rate for each stage of the classifier. Overall false alarm rate Maximal desired false alarm rate for each stage of the classifier. Overall false alarm rate
may be estimated as (max_false_alarm_rate\^number_of_stages). may be estimated as (max_false_alarm_rate ^ number_of_stages), @cite Viola04 §4.1.
- -weightTrimRate \<weight_trim_rate\> - -weightTrimRate \<weight_trim_rate\>