84 lines
4.2 KiB
C++
84 lines
4.2 KiB
C++
/*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).
|
|
|
|
|
|
|
|
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__
|