#include <depth.hpp>

cv::Algorithmを継承しています。

公開型
enum	RGBD_NORMALS_METHOD { RGBD_NORMALS_METHOD_FALS = 0 , RGBD_NORMALS_METHOD_LINEMOD = 1 , RGBD_NORMALS_METHOD_SRI = 2 }

公開メンバ関数
	RgbdNormals (int rows, int cols, int depth, InputArray K, int window_size=5, int method=RgbdNormals::RGBD_NORMALS_METHOD_FALS)

	CV_WRAP_AS (apply) void operator()(InputArray points

CV_WRAP void	initialize () const

CV_WRAP int	getRows () const

CV_WRAP void	setRows (int val)

CV_WRAP int	getCols () const

CV_WRAP void	setCols (int val)

CV_WRAP int	getWindowSize () const

CV_WRAP void	setWindowSize (int val)

CV_WRAP int	getDepth () const

CV_WRAP void	setDepth (int val)

CV_WRAP cv::Mat	getK () const

CV_WRAP void	setK (const cv::Mat &val)

CV_WRAP int	getMethod () const

CV_WRAP void	setMethod (int val)

基底クラス cv::Algorithm に属する継承公開メンバ関数
virtual CV_WRAP void	clear ()
	Clears the algorithm state [詳解]

virtual void	write (FileStorage &fs) const
	Stores algorithm parameters in a file storage [詳解]

CV_WRAP void	write (const Ptr< FileStorage > &fs, const String &name=String()) const
	simplified API for language bindings これはオーバーロードされたメンバ関数です。利便性のために用意されています。元の関数との違いは引き数のみです。

virtual CV_WRAP void	read (const FileNode &fn)
	Reads algorithm parameters from a file storage [詳解]

virtual CV_WRAP bool	empty () const
	Returns true if the Algorithm is empty (e.g. in the very beginning or after unsuccessful read [詳解]

virtual CV_WRAP void	save (const String &filename) const

virtual CV_WRAP String	getDefaultName () const

静的公開メンバ関数
static CV_WRAP Ptr< RgbdNormals >	create (int rows, int cols, int depth, InputArray K, int window_size=5, int method=RgbdNormals::RGBD_NORMALS_METHOD_FALS)

基底クラス cv::Algorithm に属する継承静的公開メンバ関数
template<typename _Tp >
static Ptr< _Tp >	read (const FileNode &fn)
	Reads algorithm from the file node [詳解]

template<typename _Tp >
static Ptr< _Tp >	load (const String &filename, const String &objname=String())
	Loads algorithm from the file [詳解]

template<typename _Tp >
static Ptr< _Tp >	loadFromString (const String &strModel, const String &objname=String())
	Loads algorithm from a String [詳解]

限定公開メンバ関数
void	initialize_normals_impl (int rows, int cols, int depth, const Mat &K, int window_size, int method) const

基底クラス cv::Algorithm に属する継承限定公開メンバ関数
void	writeFormat (FileStorage &fs) const

詳解

Object that can compute the normals in an image. It is an object as it can cache data for speed efficiency The implemented methods are either:

FALS (the fastest) and SRI from Fast and Accurate Computation of Surface Normals from Range Images by H. Badino, D. Huber, Y. Park and T. Kanade
the normals with bilateral filtering on a depth image from Gradient Response Maps for Real-Time Detection of Texture-Less Objects by S. Hinterstoisser, C. Cagniart, S. Ilic, P. Sturm, N. Navab, P. Fua, and V. Lepetit

構築子と解体子

cv::rgbd::RgbdNormals::RgbdNormals	(	int	rows,
		int	cols,
		int	depth,
		InputArray	K,
		int	window_size = `5`,
		int	method = `RgbdNormals::RGBD_NORMALS_METHOD_FALS`
	)

Constructor

引数

rows	the number of rows of the depth image normals will be computed on
cols	the number of cols of the depth image normals will be computed on
depth	the depth of the normals (only CV_32F or CV_64F)
K	the calibration matrix to use
window_size	the window size to compute the normals: can only be 1,3,5 or 7
method	one of the methods to use: RGBD_NORMALS_METHOD_SRI, RGBD_NORMALS_METHOD_FALS

cv::rgbd::RgbdNormals::CV_WRAP_AS ( apply )

Given a set of 3d points in a depth image, compute the normals at each point.

引数

points	a rows x cols x 3 matrix of CV_32F/CV64F or a rows x cols x 1 CV_U16S
normals	a rows x cols x 3 matrix

CV_WRAP void cv::rgbd::RgbdNormals::initialize ( ) const

Initializes some data that is cached for later computation If that function is not called, it will be called the first time normals are computed

このクラス詳解は次のファイルから抽出されました: