4. The method of claim 3 , wherein the area-based alignment algorithm includes establishing a pixel-to-pixel similarity metric between the image of the selected object and an image of a reference object, the image of the reference object being one of the image of the first template object, the image of the second template object, or the image of the third template object, wherein the feature-based alignment algorithm is any of: Scale Invariant Feature Transform (SIFT), Speed Up Robust Feature (SURF), or Oriented Features from Accelerated Segment Test and Rotated Binary Robust Independent Elementary Features (ORB), and whereby the visual features are keypoints.
3. The method of claim 2 , wherein the matching algorithm is any of an area-based alignment algorithm or a feature-based alignment algorithm.