public static void ProjectPCA(
	CvArr data,
	CvArr avg,
	CvArr eigenvects,
	CvArr result
)

Public Shared Sub ProjectPCA ( 
	data As CvArr,
	avg As CvArr,
	eigenvects As CvArr,
	result As CvArr
)

public:
static void ProjectPCA(
	CvArr^ data, 
	CvArr^ avg, 
	CvArr^ eigenvects, 
	CvArr^ result
)

static member ProjectPCA : 
        data : CvArr * 
        avg : CvArr * 
        eigenvects : CvArr * 
        result : CvArr -> unit 

Parameters

data

Type: OpenCvSharpCvArr
The input data; each vector is either a single row or a single column.

avg

Type: OpenCvSharpCvArr
The mean (average) vector. If it is a single-row vector, it means that the output vectors are stored as rows of result; otherwise, it should be a single-column vector, then the vectors are stored as columns of result.

eigenvects

Type: OpenCvSharpCvArr
The eigenvectors (principal components); one vector per row.

result

Type: OpenCvSharpCvArr
The output matrix of decomposition coefficients. The number of rows must be the same as the number of vectors, the number of columns must be less than or equal to the number of rows in eigenvectors. That it is less, the input vectors are projected into subspace of the first cols(result) principal components.

Return Value

Reference