Title :
Real-Time Unconstrained Object Recognition: A Processing Pipeline Based on the Mammalian Visual System
Author :
Aguilar, Mario ; Peot, Mark A. ; Zhou, Jiangying ; Simons, Stephen ; Liao, Yuwei ; Metwalli, Nader ; Anderson, Mark B.
Author_Institution :
Teledyne Sci. Co., Durham, NC, USA
fDate :
3/1/2012 12:00:00 AM
Abstract :
The mammalian visual system is still the gold standard for recognition accuracy, flexibility, efficiency, and speed. Ongoing advances in our understanding of function and mechanisms in the visual system can now be leveraged to pursue the design of computer vision architectures that will revolutionize the state of the art in computer vision.
Keywords :
computer vision; object recognition; computer vision architectures; mammalian visual system; real time unconstrained object recognition; visual system; Feature extraction; Image color analysis; Object recognition; Real time systems; Retina; Visual systems; Artificial Intelligence; Humans; Image Processing, Computer-Assisted; Models, Neurological; Pattern Recognition, Automated; Pattern Recognition, Visual; Retina; Visual Cortex;
Journal_Title :
Pulse, IEEE
DOI :
10.1109/MPUL.2011.2181025
