Paper
How computational neuroscience could help improving face recognition systems?
Published Dec 22, 2014 · S. Karimimehr, M. Yazdchi
2014 4th International Conference on Computer and Knowledge Engineering (ICCKE)
3
Citations
0
Influential Citations
Abstract
Computational neuroscience is a growing discipline in science, which tries to understand the operations of human brain and inspire from it as a new computational paradigm. Face recognition is an important question both in pattern recognition and neuroscience. In the last few years, neuroscientists found many facts about object recognition in primate's brain. Here, we propose a cortex inspired face recognition system which uses some findings about the brain such as the operations of feature extractor cells in visual cortex and the function of attention in discarding distracting parts of the images. Now it is the time to merge the knowledge of learning systems with biological findings. The proposed method named Advanced Neurologically Inspires Face recognition (ANIF) system is compared with previous model NIF and some well-known face recognition algorithms within different datasets, which shows remarkable results.
Sign up to use Study Snapshot
Consensus is limited without an account. Create an account or sign in to get more searches and use the Study Snapshot.
Full text analysis coming soon...