Using feature probabilities to reduce the expected computational cost of template matching.
Avraham MargalitAzriel RosenfeldPublished in: Comput. Vis. Graph. Image Process. (1990)
Keyphrases
- template matching
- computational cost
- cross correlation
- reduce the computational cost
- deformable templates
- object recognition
- matching algorithm
- target recognition
- expected values
- feature vectors
- chamfer matching
- image matching
- radial symmetry
- computer vision
- normalized cross correlation
- invariant features
- feature set
- object detection
- image features
- computational complexity