Hardware architecture for projective model calculation and false match refining using random sample consensus algorithm.
Ehsan AzimiAlireza BehradMohammad Bagher Ghaznavi GhoushchiJamshid ShanbehzadehPublished in: J. Electronic Imaging (2016)
Keyphrases
- hardware architecture
- recognition algorithm
- kalman filter
- similarity measure
- energy function
- random sample consensus
- hardware implementation
- detection algorithm
- machine learning
- computational complexity
- image classification
- markov random field
- video sequences
- geometric constraints
- robust estimation
- multiscale
- computer vision