A Biologically Plausible Transform for Visual Recognition that is Invariant to Translation, Scale, and Rotation.
Pavel SountsovDavid M. SantucciJohn E. LismanPublished in: Frontiers Comput. Neurosci. (2011)
Keyphrases
- visual recognition
- rotation and scale invariant
- biologically plausible
- biologically inspired
- image transformations
- feed forward
- log polar
- feature vectors
- image classification
- object recognition
- rotation and translation
- feature extraction
- visual recognition tasks
- rotation invariant
- invariant features
- zernike moments
- visual cortex
- latent topic models
- affine transformation
- view independent
- high dimensional
- biological systems
- image matching
- input image
- network architecture
- genetic algorithm
- receptive fields
- higher order
- video sequences