Matches in SemOpenAlex for { <https://semopenalex.org/work/W2156020291> ?p ?o ?g. }
Showing items 1 to 63 of
63
with 100 items per page.
- W2156020291 abstract "Natural visual scenes consist of objects of various physical properties that are arranged in three-dimensional (3D) space in a variety of ways. When projected onto the retina, visual scenes entail highly structured statistics, occurring over the full range of natural variations in the world. To deal efficiently with this full range of natural variations, the visual system may have to generate percepts according to the probability distributions (PDs) of visual variables underlying any stimulus [1-5]. What, then, are these PDs in natural scenes? In this work, we proposed that these PDs are the components of the grand joint PD of the physical world and the images on the retina (GPDWI). Thus, our approach is to decompose GPDWI into a large set of PDs without information reduction. We call these PDs a visual code book.To examine this visual code book, we first sampled a large number of scene patches (~2 degrees of visual angle) from a database of high-resolution 3D natural scenes and fitted a concatenation of 8th order polynomial functions to the 2D and 3D data in the patches. Using the fitted polynomial functions, we classified all the natural scene patches into a large set of 2D-3D natural scene structures that have distinctive distributions of ranges and/or luminance. Finally, we developed a PD for each of the 2D-3D natural scene structures. Since any joint 2D-3D natural scene patch is a combination of the samples of these PDs, they form a faithful representation of GPDWI and can be used a visual code book.We used these PDs to estimate 3D scenes from 2D images and to categorize 2D-3D natural scenes. Our results showed that accurate 3D vision from a single monocular view is achievable in many situations and that near-human performance can be achieved on categorizing 2D-3D natural scenes. We thus conclude that the visual code book obtained here captures faithfully the extraordinarily complex 2D-3D natural scene statistics and supports a range of tasks of natural vision." @default.
- W2156020291 created "2016-06-24" @default.
- W2156020291 creator A5000768939 @default.
- W2156020291 creator A5058580792 @default.
- W2156020291 date "2012-07-01" @default.
- W2156020291 modified "2023-09-26" @default.
- W2156020291 title "A visual code book-structured probability distributions in natural scenes" @default.
- W2156020291 cites W3122510310 @default.
- W2156020291 cites W388780593 @default.
- W2156020291 cites W4229732326 @default.
- W2156020291 doi "https://doi.org/10.1186/1471-2202-13-s1-p9" @default.
- W2156020291 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3403217" @default.
- W2156020291 hasPublicationYear "2012" @default.
- W2156020291 type Work @default.
- W2156020291 sameAs 2156020291 @default.
- W2156020291 citedByCount "0" @default.
- W2156020291 crossrefType "journal-article" @default.
- W2156020291 hasAuthorship W2156020291A5000768939 @default.
- W2156020291 hasAuthorship W2156020291A5058580792 @default.
- W2156020291 hasBestOaLocation W21560202911 @default.
- W2156020291 hasConcept C151730666 @default.
- W2156020291 hasConcept C154945302 @default.
- W2156020291 hasConcept C15744967 @default.
- W2156020291 hasConcept C177264268 @default.
- W2156020291 hasConcept C188147891 @default.
- W2156020291 hasConcept C199360897 @default.
- W2156020291 hasConcept C204321447 @default.
- W2156020291 hasConcept C2776608160 @default.
- W2156020291 hasConcept C2776760102 @default.
- W2156020291 hasConcept C41008148 @default.
- W2156020291 hasConcept C86803240 @default.
- W2156020291 hasConceptScore W2156020291C151730666 @default.
- W2156020291 hasConceptScore W2156020291C154945302 @default.
- W2156020291 hasConceptScore W2156020291C15744967 @default.
- W2156020291 hasConceptScore W2156020291C177264268 @default.
- W2156020291 hasConceptScore W2156020291C188147891 @default.
- W2156020291 hasConceptScore W2156020291C199360897 @default.
- W2156020291 hasConceptScore W2156020291C204321447 @default.
- W2156020291 hasConceptScore W2156020291C2776608160 @default.
- W2156020291 hasConceptScore W2156020291C2776760102 @default.
- W2156020291 hasConceptScore W2156020291C41008148 @default.
- W2156020291 hasConceptScore W2156020291C86803240 @default.
- W2156020291 hasIssue "S1" @default.
- W2156020291 hasLocation W21560202911 @default.
- W2156020291 hasLocation W21560202912 @default.
- W2156020291 hasLocation W21560202913 @default.
- W2156020291 hasOpenAccess W2156020291 @default.
- W2156020291 hasPrimaryLocation W21560202911 @default.
- W2156020291 hasRelatedWork W1515542156 @default.
- W2156020291 hasRelatedWork W1992419927 @default.
- W2156020291 hasRelatedWork W2293457016 @default.
- W2156020291 hasRelatedWork W2368651715 @default.
- W2156020291 hasRelatedWork W2373724792 @default.
- W2156020291 hasRelatedWork W2611614995 @default.
- W2156020291 hasRelatedWork W2789919619 @default.
- W2156020291 hasRelatedWork W3107474891 @default.
- W2156020291 hasRelatedWork W3169305685 @default.
- W2156020291 hasRelatedWork W4321496520 @default.
- W2156020291 hasVolume "13" @default.
- W2156020291 isParatext "false" @default.
- W2156020291 isRetracted "false" @default.
- W2156020291 magId "2156020291" @default.
- W2156020291 workType "article" @default.