From 5b03d47fb8dd5eccd4db8144a997d9dfd04f08e0 Mon Sep 17 00:00:00 2001 From: "marina.kolpakova" Date: Wed, 30 Jan 2013 19:28:16 +0400 Subject: [PATCH] fix broken links in cascade classification documentation --- modules/objdetect/doc/cascade_classification.rst | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/modules/objdetect/doc/cascade_classification.rst b/modules/objdetect/doc/cascade_classification.rst index f86a98561..eb07a6c8f 100644 --- 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)