Atoms of recognition in human and computer vision
Discovering the visual features and representations used by the brain to recognize objects is a central problem in the study of vision. Recently, neural network models of visual object recognition, including biological and deep network models, have shown remarkable progress and have begun to rival h...
Main Authors: | Ullman, Shimon (Contributor), Assif, Liav (Author), Fetaya, Ethan (Author), Harari, Daniel (Contributor) |
---|---|
Other Authors: | Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), McGovern Institute for Brain Research at MIT (Contributor) |
Format: | Article |
Language: | English |
Published: |
National Academy of Sciences (U.S.),
2017-01-17T15:21:33Z.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Embedded computer vision methods for human activity recognition
by: Matilainen, M. (Matti)
Published: (2017) -
Human Motion Gesture Recognition Based on Computer Vision
by: Rui Ma, et al.
Published: (2021-01-01) -
A Review on Computer Vision-Based Methods for Human Action Recognition
by: Mahmoud Al-Faris, et al.
Published: (2020-06-01) -
Human motion detection and gesture recognition using computer vision methods
by: Liu, X. (Xin)
Published: (2019) -
Computer Vision-Based Hand Gesture Recognition for Human-Robot Interactions.
by: Wen-Chin Wu, et al.
Published: (2011)