1. A method of detecting an orientation of a main digital image using statistical classifier techniques, comprising: using a processor; generating in-camera, capturing or otherwise obtaining in-camera a collection of low resolution images including said face; tracking said face within said collection of low resolution images; acquiring a main digital image; applying a set of face detection classifiers to at least one image of the collection of low resolution images in a first orientation; determining a first level of match between a same or subsequent image of the collection of low resolution images at said first orientation and said classifiers; rotating said same or subsequent image to a second orientation to obtain a rotated image, applying the classifiers to said rotated image at said second orientation; determining a second level of match between said rotated image at said second orientation and said classifiers; comparing said first and second levels of match between said classifiers and said same or subsequent image and between said classifiers and said rotated image, respectively; and determining which of the first orientation and the second orientations has a greater probability of being a correct orientation based on which of the first and second levels of match, respectively, comprises a higher level of match.