From 5ee61219c82110fb6e107f5962de8cf7414a517c Mon Sep 17 00:00:00 2001 From: catree Date: Sun, 17 Jul 2016 07:53:12 +0200 Subject: [PATCH] Add bib reference for overall hitrate and max false alarm rate formulas in train cascade tutorial. Remove useless backslash. --- doc/opencv.bib | 12 +++++++++++- doc/tutorials/objdetect/traincascade.markdown | 4 ++-- 2 files changed, 13 insertions(+), 3 deletions(-) diff --git a/doc/opencv.bib b/doc/opencv.bib index 58ede18322..dea93f8b1f 100644 --- a/doc/opencv.bib +++ b/doc/opencv.bib @@ -750,7 +750,7 @@ organization = {ACM} } @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}, booktitle = {Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on}, year = {2001}, @@ -758,6 +758,16 @@ volume = {1}, 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, author = {Xu, Wei and Mulligan, Jane}, title = {Performance evaluation of color correction approaches for automatic multi-view image and video stitching}, diff --git a/doc/tutorials/objdetect/traincascade.markdown b/doc/tutorials/objdetect/traincascade.markdown index 3e7db48284..12f7adde77 100644 --- a/doc/tutorials/objdetect/traincascade.markdown +++ b/doc/tutorials/objdetect/traincascade.markdown @@ -288,12 +288,12 @@ Command line arguments of opencv_traincascade application grouped by purposes: - -minHitRate \ 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 \ 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 \