eigenplanes.h File Reference

#include <opencv2/core/mat.hpp>

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Functions
cv::Mat	eigenPlanes (const std::vector< cv::Mat > &vec, cv::Size img_dims)
	Computes the average plane from a vector of images using PCA.

Function Documentation

eigenPlanes()

cv::Mat eigenPlanes	(	const std::vector< cv::Mat > &	vec,
		cv::Size	img_dims )

Computes the average plane from a vector of images using PCA.

This function takes a vector of images, converts them to CV_64F, and creates a data matrix. It then performs Principal Component Analysis (PCA) on the centered data matrix, projects each image onto the PCA space, and computes the average projection. Finally, it reshapes the average projection back into the original image dimensions and normalizes the result.

Parameters

[in]	vec	A vector of images (each represented as a cv::Mat) to be processed.
[in]	img_dims	The dimensions of the input images.

Returns

A cv::Mat representing the average plane computed from the input images.

See also

cv::Mat

cv::PCA