12. A method to recognize objects in an image, the method comprising: searching a source image for any candidate objects of a predetermined object type by applying a cascade classifier associated with the predetermined object type to the source image; determining a likelihood that each candidate object is an object of the predetermined object type by: determining a plurality of scores for a candidate object from a plurality of verification tests applied to the candidate object, each one of the scores determined from a corresponding one of the verification tests, wherein each one of the scores represents an indication of a difference between the candidate object and a set of reference images for the predetermined object type; and determining a belief score for the candidate object from the scores for the candidate object, the belief score indicating the likelihood that the candidate object is of the predetermined object type; and identifying the candidate object as a detected object of the predetermined object type when the belief score relative to a threshold belief score indicates the candidate object is of the predetermined object type.
12. A method to recognize objects in an image, the method comprising: searching a source image for any candidate objects of a predetermined object type by applying a cascade classifier associated with the predetermined object type to the source image; determining a likelihood that each candidate object is an object of the predetermined object type by: determining a plurality of scores for a candidate object from a plurality of verification tests applied to the candidate object, each one of the scores determined from a corresponding one of the verification tests, wherein each one of the scores represents an indication of a difference between the candidate object and a set of reference images for the predetermined object type; and determining a belief score for the candidate object from the scores for the candidate object, the belief score indicating the likelihood that the candidate object is of the predetermined object type; and identifying the candidate object as a detected object of the predetermined object type when the belief score relative to a threshold belief score indicates the candidate object is of the predetermined object type. 19. The method of claim 12 further comprising adjusting a size of the source image to a target size before searching the source image for any objects of the predetermined object type.