An integrated framework for combining gist vision with object segregation categorisation and recognition
There are roughly two processing systems: (1) very fast gist vision of entire scenes, completely bottom-up and data driven, and (2) Focus-of-Attention (FoA) with sequential screening of specific image regions and objects. The latter system has to be sequential because unnormalised input objects must...
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| Other Authors: | , , |
| Format: | article |
| Language: | eng |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10400.1/98 |
| Country: | Portugal |
| Oai: | oai:sapientia.ualg.pt:10400.1/98 |
| Summary: | There are roughly two processing systems: (1) very fast gist vision of entire scenes, completely bottom-up and data driven, and (2) Focus-of-Attention (FoA) with sequential screening of specific image regions and objects. The latter system has to be sequential because unnormalised input objects must be matched against normalised templates of canonical object views stored in memory, which involves dynamic routing of features in the visual pathways. |
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