[HTML][HTML] The neuroscience of spatial navigation and the relationship to artificial intelligence
Recent advances in artificial intelligence (AI) and neuroscience are impressive. In AI, this
includes the development of computer programs that can beat a grandmaster at GO or …
includes the development of computer programs that can beat a grandmaster at GO or …
Algorithmic optimizations in the HMAX model targeted for efficient object recognition
In this paper, we propose various approximations aimed at increasing the accuracy of the
S1, C1 and S2 layers of the original Gray HMAX model of the visual cortex. At layer S1, an …
S1, C1 and S2 layers of the original Gray HMAX model of the visual cortex. At layer S1, an …
[BOOK][B] Computer Vision, Imaging and Computer Graphics Theory and Applications: 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 …
J Braz, N Magnenat-Thalmann, P Richard, L Linsen… - 2017 - books.google.com
This book constitutes thoroughly revised and selected papers from the 11th International
Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and …
Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and …
A biologically inspired model mimicking the memory and two distinct pathways of face perception
In this paper, we propose a face perception model to mimic the biological mechanism of face
perception and memory in human brain. We are mainly inspired by the fact that there are two …
perception and memory in human brain. We are mainly inspired by the fact that there are two …
Crop Leaf Disease Recognition Network Based on Brain Parallel Interaction Mechanism.
Y Hui, HAO Kuangrong… - Journal of Donghua …, 2022 - search.ebscohost.com
In the actual complex environment, the recognition accuracy of crop leaf disease is often not
high. Inspired by the brain parallel interaction mechanism, a two-stream parallel interactive …
high. Inspired by the brain parallel interaction mechanism, a two-stream parallel interactive …
An attention module for object detection in cluttered images
M Lecca - ELCVIA Electronic Letters on Computer Vision and …, 2009 - elcvia.cvc.uab.es
In this paper, we propose a visual attention module that automatically detects the regions of
an input previously unseen image, which are more likely occupied by a known object. The …
an input previously unseen image, which are more likely occupied by a known object. The …
Efficient implementation of a recognition system using the cortex ventral stream model
In this paper, an efficient implementation for a recognition system based on the original
HMAX model of the visual cortex is proposed. Various optimizations targeted to increase …
HMAX model of the visual cortex is proposed. Various optimizations targeted to increase …
[PDF][PDF] Detecting Object Using Combination of Sharpening and Edge Detection Method
Object detection is one of the most important preprocessing steps in object recognition and
identification systems. This can be done by searching and indexing still image or video …
identification systems. This can be done by searching and indexing still image or video …
Biologically inspired object recognition system
The human visual system (HVS) has an amazing ability in recognizing any objects which it
has a previous knowledge about. With the advances in computer vision, human visual …
has a previous knowledge about. With the advances in computer vision, human visual …
Integrating perceptual properties of the HVS into the computational model of visual attention
M Zeng, Y Li, Q Meng, X Qiu - 2009 2nd International Congress …, 2009 - ieeexplore.ieee.org
The integration of bottom-up, image-driven cues and perceptual properties of the human
visual system (HVS) is crucial for the selection of salient locations. The previous studies …
visual system (HVS) is crucial for the selection of salient locations. The previous studies …