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For the current algorithms you have to pass your input images as grayscale. You can use cv::cvtColor to convert color images into their grayscale representation:

• http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#cvtColor

Algorithms like Eigenfaces and Fisherfaces require your training data to be of equal size, you can simple use cv::resize to do so:

• http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#resize

Pay special attention to the documentation on cv::FaceRecognizer at:

• http://docs.opencv.org/trunk/modules/contrib/doc/facerec/index.html

Just look at the full source code listing on "Face Recognition in Videos" for example, because all preprocessing is done in there, too.

For the current algorithms you have to pass your input images as grayscale. You can use cv::cvtColor to convert color images into their grayscale representation:

• http://docs.opencv.org/modules/imgproc/doc/miscellaneous_transformations.html#cvtColor

Algorithms like Eigenfaces and Fisherfaces require your training data to be of equal size, you size. You can simple use cv::resize to do so:resize your images:

• http://docs.opencv.org/modules/imgproc/doc/geometric_transformations.html#resize

Pay special attention to the documentation on cv::FaceRecognizer at:

• http://docs.opencv.org/trunk/modules/contrib/doc/facerec/index.html

Just look at the full source code listing on "Face Recognition in Videos" for example, because all preprocessing is done in there, too.