The computer vision task of finding and identifying objects in an image or video sequence
The computer vision task of finding and identifying objects in an image or video sequence is often conducted consistent with one of two approaches:
Appearance-based methods
Use example images (called templates or exemplars) of the objects to perform recognition
Objects look different under varying conditions:
Feature-based method
a search is used to find feasible matches between object features and image features.
the primary constraint is that a single position of the object must account for all of the feasible matches.
