Hierarchical Object Representations in the Visual Cortex and Computer Vision
Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing a...
Na minha lista:
| Main Authors: | , , |
|---|---|
| Formato: | Online |
| Idioma: | inglês |
| Publicado em: |
Frontiers Media SA
2021
|
| Assuntos: | |
| Acesso em linha: | 20291 |
| Tags: |
Sem tags, seja o primeiro a adicionar uma tag!
|
| _version_ | 1869521114603978752 |
|---|---|
| author | Antonio Rodriguez-Sanchez Mazyar Fallah Ales Leonardis |
| author_browse | Ales Leonardis Antonio Rodriguez-Sanchez Mazyar Fallah |
| author_facet | Antonio Rodriguez-Sanchez Mazyar Fallah Ales Leonardis |
| author_sort | Antonio Rodriguez-Sanchez |
| collection | Directory of Open Access Books |
| description | Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. In this Research Topic we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations. |
| format | Online |
| id | doab-20.500.12854ir-49261 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media SA |
| publisherStr | Frontiers Media SA |
| record_format | ojs |
| spelling | doab-20.500.12854ir-492612024-04-05T12:36:10Z Hierarchical Object Representations in the Visual Cortex and Computer Vision Antonio Rodriguez-Sanchez Mazyar Fallah Ales Leonardis RC321-571 Q1-390 object recognition Neuronal modeling shape Neuromorphic Computational neuroscence Attention Visual Cortex Computer Vision thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Over the past 40 years, neurobiology and computational neuroscience has proved that deeper understanding of visual processes in humans and non-human primates can lead to important advancements in computational perception theories and systems. One of the main difficulties that arises when designing automatic vision systems is developing a mechanism that can recognize - or simply find - an object when faced with all the possible variations that may occur in a natural scene, with the ease of the primate visual system. The area of the brain in primates that is dedicated at analyzing visual information is the visual cortex. The visual cortex performs a wide variety of complex tasks by means of simple operations. These seemingly simple operations are applied to several layers of neurons organized into a hierarchy, the layers representing increasingly complex, abstract intermediate processing stages. In this Research Topic we propose to bring together current efforts in neurophysiology and computer vision in order 1) To understand how the visual cortex encodes an object from a starting point where neurons respond to lines, bars or edges to the representation of an object at the top of the hierarchy that is invariant to illumination, size, location, viewpoint, rotation and robust to occlusions and clutter; and 2) How the design of automatic vision systems benefit from that knowledge to get closer to human accuracy, efficiency and robustness to variations. 2021-02-11T15:15:24Z 2021-02-11T15:15:24Z 2017-02-03 17:04:57 2016 book 20291 16648714 9782889197989 https://directory.doabooks.org/handle/20.500.12854/49261 eng Frontiers Research Topics image/jpeg Attribution 4.0 International http://www.frontiersin.org/books/Hierarchical_Object_Representations_in_the_Visual_Cortex_and_Computer_Vision/842#nogo http://journal.frontiersin.org/researchtopic/2258/hierarchical-object-representations-in-the-visual-cortex-and-computer-vision Frontiers Media SA 10.3389/978-2-88919-798-9 10.3389/978-2-88919-798-9 bf5ce210-e72e-4860-ba9b-c305640ff3ae 9782889197989 290 open access |
| spellingShingle | RC321-571 Q1-390 object recognition Neuronal modeling shape Neuromorphic Computational neuroscence Attention Visual Cortex Computer Vision thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences Antonio Rodriguez-Sanchez Mazyar Fallah Ales Leonardis Hierarchical Object Representations in the Visual Cortex and Computer Vision |
| title | Hierarchical Object Representations in the Visual Cortex and Computer Vision |
| title_full | Hierarchical Object Representations in the Visual Cortex and Computer Vision |
| title_fullStr | Hierarchical Object Representations in the Visual Cortex and Computer Vision |
| title_full_unstemmed | Hierarchical Object Representations in the Visual Cortex and Computer Vision |
| title_short | Hierarchical Object Representations in the Visual Cortex and Computer Vision |
| title_sort | hierarchical object representations in the visual cortex and computer vision |
| topic | RC321-571 Q1-390 object recognition Neuronal modeling shape Neuromorphic Computational neuroscence Attention Visual Cortex Computer Vision thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| topic_facet | RC321-571 Q1-390 object recognition Neuronal modeling shape Neuromorphic Computational neuroscence Attention Visual Cortex Computer Vision thema EDItEUR::P Mathematics and Science::PS Biology, life sciences::PSA Life sciences: general issues::PSAN Neurosciences |
| url | 20291 |
| work_keys_str_mv | AT antoniorodriguezsanchez hierarchicalobjectrepresentationsinthevisualcortexandcomputervision AT mazyarfallah hierarchicalobjectrepresentationsinthevisualcortexandcomputervision AT alesleonardis hierarchicalobjectrepresentationsinthevisualcortexandcomputervision |