fix broken links in cascade classification documentation

diff --git a/modules/objdetect/doc/cascade_classification.rst b/modules/objdetect/doc/cascade_classification.rst
index f86a985..eb07a6c 100644 (file)
--- a/modules/objdetect/doc/cascade_classification.rst
+++ b/modules/objdetect/doc/cascade_classification.rst
@@ -21,15 +21,15 @@ The word "cascade" in the classifier name means that the resultant classifier co
 The feature used in a particular classifier is specified by its shape (1a, 2b etc.), position within the region of interest and the scale (this scale is not the same as the scale used at the detection stage, though these two scales are multiplied). For example, in the case of the third line feature (2c) the response is calculated as the difference between the sum of image pixels under the rectangle covering the whole feature (including the two white stripes and the black stripe in the middle) and the sum of the image pixels under the black stripe multiplied by 3 in order to compensate for the differences in the size of areas. The sums of pixel values over a rectangular regions are calculated rapidly using integral images (see below and the :ocv:func:`integral` description).
 
 To see the object detector at work, have a look at the facedetect demo:
-http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/cpp/facedetect.cpp
+http://code.opencv.org/projects/opencv/repository/revisions/master/entry/samples/cpp/dbt_face_detection.cpp
 
 The following reference is for the detection part only. There is a separate application called  ``opencv_traincascade`` that can train a cascade of boosted classifiers from a set of samples.
 
 .. note:: In the new C++ interface it is also possible to use LBP (local binary pattern) features in addition to Haar-like features.
 
-.. [Viola01] Paul Viola and Michael J. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE CVPR, 2001. The paper is available online at http://www.ai.mit.edu/people/viola/
+.. [Viola01] Paul Viola and Michael J. Jones. Rapid Object Detection using a Boosted Cascade of Simple Features. IEEE CVPR, 2001. The paper is available online at http://research.microsoft.com/en-us/um/people/viola/Pubs/Detect/violaJones_CVPR2001.pdf
 
-.. [Lienhart02] Rainer Lienhart and Jochen Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. IEEE ICIP 2002, Vol. 1, pp. 900-903, Sep. 2002. This paper, as well as the extended technical report, can be retrieved at http://www.lienhart.de/Publications/publications.html
+.. [Lienhart02] Rainer Lienhart and Jochen Maydt. An Extended Set of Haar-like Features for Rapid Object Detection. IEEE ICIP 2002, Vol. 1, pp. 900-903, Sep. 2002. This paper, as well as the extended technical report, can be retrieved at http://www.multimedia-computing.de/mediawiki//images/5/52/MRL-TR-May02-revised-Dec02.pdf
 
 
 FeatureEvaluator
@@ -177,7 +177,7 @@ Loads a classifier from a file.
 
 CascadeClassifier::read
 ---------------------------
-Reads a classifier from a FileStorage node. 
+Reads a classifier from a FileStorage node.
 
 .. ocv:function:: bool CascadeClassifier::read(const FileNode& node)