[opencv] 31/71: Add bib reference for overall hitrate and false alarm rate for the train cascade user guide (OpenCV 2.4).

[Nobuhiro Iwamatsu]

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iwamatsu pushed a commit to annotated tag 2.4.13.1
in repository opencv.

commit 87d06eab828bc6fce18fc7762f5ad9b7359dac64
Author: catree <catree.catreus at outlook.com>
Date:   Sun Jul 17 23:06:20 2016 +0200

    Add bib reference for overall hitrate and false alarm rate for the train cascade user guide (OpenCV 2.4).
---
 doc/opencv.bib                     | 1 +
 doc/user_guide/ug_traincascade.rst | 8 +++++---
 2 files changed, 6 insertions(+), 3 deletions(-)

diff --git a/doc/opencv.bib b/doc/opencv.bib
index 83f9868..8ecb0a9 100644
--- a/doc/opencv.bib
+++ b/doc/opencv.bib
@@ -316,6 +316,7 @@
 # '''[Teh89]''' C.H. Teh, R.T. Chin. On the Detection of Dominant Points on Digital Curves. - IEEE Tr. PAMI, 1989, v.11, No.8, p. 859-872.
 # '''[Trucco98]''' Emanuele Trucco, Alessandro Verri. Introductory Techniques for 3-D Computer Vision. Prentice Hall, Inc., 1998.
 # '''[Viola01]''' Paul Viola and Michael J. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE CVPR, 2001.<<BR>> The paper is available online at http://www.ai.mit.edu/people/viola/
+# '''[Viola04]''' Paul Viola and Michael J. Jones. Robust real-time face detection. International Journal of Computer Vision, 57(2):137–154, 2004.<<BR>> The paper is available online at http://www.vision.caltech.edu/html-files/EE148-2005-Spring/pprs/viola04ijcv.pdf
 # '''[Welch95]''' Greg Welch, Gary Bishop. An Introduction To the Kalman Filter. Technical Report TR95-041, University of North Carolina at Chapel Hill, 1995.<<BR>> Online version is available at http://www.cs.unc.edu/~welch/kalman/kalmanIntro.html
 # '''[Williams92]''' D. J. Williams and M. Shah. A Fast Algorithm for Active Contours and Curvature Estimation. CVGIP: Image Understanding, Vol. 55, No. 1, pp. 14-26, Jan., 1992. http://www.cs.ucf.edu/~vision/papers/shah/92/WIS92A.pdf.
 # '''[Yuen03]''' H.K. Yuen, J. Princen, J. Illingworth and J. Kittler. Comparative study of Hough Transform methods for circle finding.<<BR>>http://www.sciencedirect.com/science/article/B6V09-48TCV4N-5Y/2/91f551d124777f7a4cf7b18325235673
diff --git a/doc/user_guide/ug_traincascade.rst b/doc/user_guide/ug_traincascade.rst
index 49cdbd6..a29ad48 100644
--- a/doc/user_guide/ug_traincascade.rst
+++ b/doc/user_guide/ug_traincascade.rst
@@ -326,11 +326,11 @@ Command line arguments of ``opencv_traincascade`` application grouped by purpose
 
     * ``-minHitRate <min_hit_rate>``
 
-        Minimal desired hit rate for each stage of the classifier. Overall hit rate may be estimated as (min_hit_rate^number_of_stages).
+        Minimal desired hit rate for each stage of the classifier. Overall hit rate may be estimated as (min_hit_rate ^ number_of_stages) [Viola2004]_.
 
     * ``-maxFalseAlarmRate <max_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).
+      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) [Viola2004]_.
 
     * ``-weightTrimRate <weight_trim_rate>``
 
@@ -362,7 +362,9 @@ After the ``opencv_traincascade`` application has finished its work, the trained
 
 Training is finished and you can test you cascade classifier!
 
-.. [Viola2001] Paul Viola, Michael Jones. *Rapid Object Detection using a Boosted Cascade of Simple Features*. Conference on Computer Vision and Pattern Recognition (CVPR), 2001, pp. 511-518.
+.. [Viola2001] Paul Viola, Michael J. Jones. *Rapid Object Detection using a Boosted Cascade of Simple Features*. Conference on Computer Vision and Pattern Recognition (CVPR), 2001, pp. 511-518.
+
+.. [Viola2004] Paul Viola, Michael J. Jones. *Robust real-time face detection*. International Journal of Computer Vision, 57(2):137–154, 2004.
 
 .. [Rainer2002] Rainer Lienhart and Jochen Maydt. *An Extended Set of Haar-like Features for Rapid Object Detection*. Submitted to ICIP2002.
 

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