CHaracterize major object recognition models (template matching, feature matching, recognition by components, configural model) what are their strong and weak points?

CHaracterize major object recognition models (template matching, feature matching, recognition by components, configural model) what are their strong and weak points?

Template matching is a technique for finding areas of an image that match (are similar) to a template image.
feature matching explains how the sensory system breaks down the incoming stimuli into its features and processes the information. Some features may be more important for recognition than others. All stimuli have a set of distinctive features. Feature matching proceeds through 4 stages.
Detection
Pattern dissection
Feature comparison in memory
Recognition

The recognition-by-components theory, or RBC theory,[1] is a top-down process proposed by Irving Biederman to explain object recognition. According to RBC theory, we are able to recognize objects by separating them into geons (the object’s main component parts). Biederman suggested that geons are based on basic 3-dimensional shapes (cylinders, cones, etc.) that can be assembled in various arrangements to form a virtually unlimited amount of objects.

According to the configural model in forming first impassions we latch on to certain peaces of inf called central traits which have a disproportionate influence over the impression. Other peaces of inf called peripheral traits have much less influence. Central and peripheral traits are those that are more or less inartistically correlated with other traits, and therefore more or less useful in constructing an integrated image of a person.

Template matching:

strong p.s-> good with prototypes, highly predictable shapes and 2 dimensional stimuli
weak p.s-> they're bad with atypical category exemplars, 3d objects and exemplar variability

Feature matching:

strong p.s-> doesnt require perfect match
weak p.s-> not good with 3d and cannot distinguish V and X

Recognition by components:
-an alphabet of 3d "geons": basic geometric shapes geons which is created to deal with viewpoint variance

strong p.s-> good with artifacts
weak p.s-> bad with natural kinds and particular faces

Configural model:
-stores properties like protoypes, or ideal, or average face and then recognize face by keeping track of how it deviates from the prototype e.g longer
nose, narrower mouth, etc