diff options
author | shamikam | 2017-01-16 02:56:17 +0530 |
---|---|---|
committer | shamikam | 2017-01-16 02:56:17 +0530 |
commit | a6df67e8bcd5159cde27556f4f6a315f8dc2215f (patch) | |
tree | e806e966b06a53388fb300d89534354b222c2cad /thirdparty/linux/include/opencv2/saliency.hpp | |
download | FOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.tar.gz FOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.tar.bz2 FOSSEE_Image_Processing_Toolbox-a6df67e8bcd5159cde27556f4f6a315f8dc2215f.zip |
Diffstat (limited to 'thirdparty/linux/include/opencv2/saliency.hpp')
-rw-r--r-- | thirdparty/linux/include/opencv2/saliency.hpp | 83 |
1 files changed, 83 insertions, 0 deletions
diff --git a/thirdparty/linux/include/opencv2/saliency.hpp b/thirdparty/linux/include/opencv2/saliency.hpp new file mode 100644 index 0000000..56bfe8a --- /dev/null +++ b/thirdparty/linux/include/opencv2/saliency.hpp @@ -0,0 +1,83 @@ +/*M/////////////////////////////////////////////////////////////////////////////////////// + // + // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. + // + // By downloading, copying, installing or using the software you agree to this license. + // If you do not agree to this license, do not download, install, + // copy or use the software. + // + // + // License Agreement + // For Open Source Computer Vision Library + // + // Copyright (C) 2014, OpenCV Foundation, all rights reserved. + // Third party copyrights are property of their respective owners. + // + // Redistribution and use in source and binary forms, with or without modification, + // are permitted provided that the following conditions are met: + // + // * Redistribution's of source code must retain the above copyright notice, + // this list of conditions and the following disclaimer. + // + // * Redistribution's in binary form must reproduce the above copyright notice, + // this list of conditions and the following disclaimer in the documentation + // and/or other materials provided with the distribution. + // + // * The name of the copyright holders may not be used to endorse or promote products + // derived from this software without specific prior written permission. + // + // This software is provided by the copyright holders and contributors "as is" and + // any express or implied warranties, including, but not limited to, the implied + // warranties of merchantability and fitness for a particular purpose are disclaimed. + // In no event shall the Intel Corporation or contributors be liable for any direct, + // indirect, incidental, special, exemplary, or consequential damages + // (including, but not limited to, procurement of substitute goods or services; + // loss of use, data, or profits; or business interruption) however caused + // and on any theory of liability, whether in contract, strict liability, + // or tort (including negligence or otherwise) arising in any way out of + // the use of this software, even if advised of the possibility of such damage. + // + //M*/ + +#ifndef __OPENCV_SALIENCY_HPP__ +#define __OPENCV_SALIENCY_HPP__ + +#include "opencv2/saliency/saliencyBaseClasses.hpp" +#include "opencv2/saliency/saliencySpecializedClasses.hpp" + +/** @defgroup saliency Saliency API + +Many computer vision applications may benefit from understanding where humans focus given a scene. +Other than cognitively understanding the way human perceive images and scenes, finding salient +regions and objects in the images helps various tasks such as speeding up object detection, object +recognition, object tracking and content-aware image editing. + +About the saliency, there is a rich literature but the development is very fragmented. The principal +purpose of this API is to give a unique interface, a unique framework for use and plug sever +saliency algorithms, also with very different nature and methodology, but they share the same +purpose, organizing algorithms into three main categories: + +**Static Saliency**: algorithms belonging to this category, exploit different image features that +allow to detect salient objects in a non dynamic scenarios. + +**Motion Saliency**: algorithms belonging to this category, are particularly focused to detect +salient objects over time (hence also over frame), then there is a temporal component sealing +cosider that allows to detect "moving" objects as salient, meaning therefore also the more general +sense of detection the changes in the scene. + +**Objectness**: Objectness is usually represented as a value which reflects how likely an image +window covers an object of any category. Algorithms belonging to this category, avoid making +decisions early on, by proposing a small number of category-independent proposals, that are expected +to cover all objects in an image. Being able to perceive objects before identifying them is closely +related to bottom up visual attention (saliency). + +![Saliency diagram](pics/saliency.png) + +To see how API works, try tracker demo: +<https://github.com/fpuja/opencv_contrib/blob/saliencyModuleDevelop/modules/saliency/samples/computeSaliency.cpp> + +@note This API has been designed with PlantUML. If you modify this API please change UML. + +*/ + +#endif //__OPENCV_SALIENCY_HPP__ |