[arrayfire] 11/79: Moved CV documentation to vision.dox

[Ghislain Vaillant]

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commit b63c45c53401e3deaf43f5c2f6aef0e16f565dde
Author: Peter Andreas Entschev <peter at arrayfire.com>
Date:   Thu Jun 4 15:28:34 2015 -0400

    Moved CV documentation to vision.dox
---
 docs/details/image.dox  | 29 -----------------------------
 docs/details/vision.dox | 44 ++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 44 insertions(+), 29 deletions(-)

diff --git a/docs/details/image.dox b/docs/details/image.dox
index 12f38ce..7491d25 100644
--- a/docs/details/image.dox
+++ b/docs/details/image.dox
@@ -134,35 +134,6 @@ Data normalization via histogram equalization
 
 =======================================================================
 
-\defgroup cv_func_fast fast
-\ingroup featdetect_mat
-
-\brief FAST feature detector
-
-A circle of radius 3 pixels, translating into a total of 16 pixels, is checked
-for sequential segments of pixels much brighter or much darker than the central
-one. For a pixel p to be considered a feature, there must exist a sequential
-segment of arc_length pixels in the circle around it such that all are greather
-than (p + thr) or smaller than (p - thr). After all features in the image are
-detected, if nonmax is true, the non-maximal suppression is applied, checking
-all detected features and the features detected in its 8-neighborhood and
-discard it if its score is non maximal.
-
-=======================================================================
-
-\defgroup cv_func_orb orb
-\ingroup featdescriptor_mat
-
-\brief ORB Feature descriptor
-
-Extract ORB descriptors from FAST features that hold higher Harris responses.
-FAST does not compute orientation, thus, orientation of features is calculated
-using the intensity centroid. As FAST is also not multi-scale enabled, a
-multi-scale pyramid is calculated by downsampling the input image multiple
-times followed by FAST feature detection on each scale.
-
-=======================================================================
-
 \defgroup image_func_regions regions
 \ingroup connected_comps_mat
 
diff --git a/docs/details/vision.dox b/docs/details/vision.dox
new file mode 100644
index 0000000..99ee1ab
--- /dev/null
+++ b/docs/details/vision.dox
@@ -0,0 +1,44 @@
+/**
+\addtogroup arrayfire_func
+@{
+
+\defgroup cv_func_fast fast
+\ingroup featdetect_mat
+
+\brief FAST feature detector
+
+A circle of radius 3 pixels, translating into a total of 16 pixels, is checked
+for sequential segments of pixels much brighter or much darker than the central
+one. For a pixel p to be considered a feature, there must exist a sequential
+segment of arc_length pixels in the circle around it such that all are greather
+than (p + thr) or smaller than (p - thr). After all features in the image are
+detected, if nonmax is true, the non-maximal suppression is applied, checking
+all detected features and the features detected in its 8-neighborhood and
+discard it if its score is non maximal.
+
+=======================================================================
+
+\defgroup cv_func_orb orb
+\ingroup featdescriptor_mat
+
+\brief ORB Feature descriptor
+
+Extract ORB descriptors from FAST features that hold higher Harris responses.
+FAST does not compute orientation, thus, orientation of features is calculated
+using the intensity centroid. As FAST is also not multi-scale enabled, a
+multi-scale pyramid is calculated by downsampling the input image multiple
+times followed by FAST feature detection on each scale.
+
+=======================================================================
+
+\defgroup cv_func_match_template matchTemplate
+\ingroup match_mat
+
+\brief Template Matching
+
+Template matching is an image processing technique to find small patches of an image which
+match a given template image. A more in depth discussion on the topic can be found
+[here](http://en.wikipedia.org/wiki/Template_matching).
+
+@}
+*/

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