Algorithms for the recognition of 2D images of m points and n lines in 3D.
Ron GleesonFrank D. GrosshansMichael HirschRobert M. WilliamsPublished in: Image Vis. Comput. (2003)
Keyphrases
- orders of magnitude
- data sets
- benchmark datasets
- pattern recognition
- learning algorithm
- times faster
- theoretical analysis
- optimal solution
- computational complexity
- association rules
- worst case
- recognition accuracy
- computationally efficient
- feature points
- recognition rate
- optimization problems
- computational cost
- object recognition
- objective function
- feature extraction
- face recognition
- clustering algorithm
- machine learning