Investigating Color Illusions from the Perspective of Computational Color Constancy Article Swipe
Oguzhan Ulucan
,
Diclehan Ulucan
,
Marc Ebner
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2312.13114
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2312.13114
Color constancy and color illusion perception are two phenomena occurring in the human visual system, which can help us reveal unknown mechanisms of human perception. For decades computer vision scientists have developed numerous color constancy methods, which estimate the reflectance of the surface by discounting the illuminant. However, color illusions have not been analyzed in detail in the field of computational color constancy, which we find surprising since the relationship they share is significant and may let us design more robust systems. We argue that any model that can reproduce our sensation on color illusions should also be able to provide pixel-wise estimates of the light source. In other words, we suggest that the analysis of color illusions helps us to improve the performance of the existing global color constancy methods, and enable them to provide pixel-wise estimates for scenes illuminated by multiple light sources. In this study, we share the outcomes of our investigation in which we take several color constancy methods and modify them to reproduce the behavior of the human visual system on color illusions. Also, we show that parameters purely extracted from illusions are able to improve the performance of color constancy methods. A noteworthy outcome is that our strategy based on the investigation of color illusions outperforms the state-of-the-art methods that are specifically designed to transform global color constancy algorithms into multi-illuminant algorithms.
Related Topics
Concepts
Standard illuminant
Color constancy
Illusion
Artificial intelligence
Computer vision
Computer science
Color balance
Perspective (graphical)
Subjective constancy
Color vision
Perception
Lightness
Chromatic adaptation
Color model
Pixel
Color image
Psychology
Color space
Image processing
Image (mathematics)
Cognitive psychology
Neuroscience
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2312.13114
- https://arxiv.org/pdf/2312.13114
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390092749
All OpenAlex metadata
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https://openalex.org/W4390092749Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2312.13114Digital Object Identifier
- Title
-
Investigating Color Illusions from the Perspective of Computational Color ConstancyWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-20Full publication date if available
- Authors
-
Oguzhan Ulucan, Diclehan Ulucan, Marc EbnerList of authors in order
- Landing page
-
https://arxiv.org/abs/2312.13114Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2312.13114Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2312.13114Direct OA link when available
- Concepts
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Standard illuminant, Color constancy, Illusion, Artificial intelligence, Computer vision, Computer science, Color balance, Perspective (graphical), Subjective constancy, Color vision, Perception, Lightness, Chromatic adaptation, Color model, Pixel, Color image, Psychology, Color space, Image processing, Image (mathematics), Cognitive psychology, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.them | 133, 165 |
| abstract_inverted_index.they | 70 |
| abstract_inverted_index.this | 146 |
| abstract_inverted_index.Also, | 178 |
| abstract_inverted_index.Color | 0 |
| abstract_inverted_index.argue | 83 |
| abstract_inverted_index.based | 204 |
| abstract_inverted_index.color | 3, 33, 48, 61, 93, 116, 128, 160, 176, 194, 209, 222 |
| abstract_inverted_index.field | 58 |
| abstract_inverted_index.helps | 118 |
| abstract_inverted_index.human | 12, 23, 172 |
| abstract_inverted_index.light | 105, 143 |
| abstract_inverted_index.model | 86 |
| abstract_inverted_index.other | 108 |
| abstract_inverted_index.share | 71, 149 |
| abstract_inverted_index.since | 67 |
| abstract_inverted_index.which | 15, 36, 63, 156 |
| abstract_inverted_index.design | 78 |
| abstract_inverted_index.detail | 55 |
| abstract_inverted_index.enable | 132 |
| abstract_inverted_index.global | 127, 221 |
| abstract_inverted_index.modify | 164 |
| abstract_inverted_index.purely | 183 |
| abstract_inverted_index.reveal | 19 |
| abstract_inverted_index.robust | 80 |
| abstract_inverted_index.scenes | 139 |
| abstract_inverted_index.should | 95 |
| abstract_inverted_index.study, | 147 |
| abstract_inverted_index.system | 174 |
| abstract_inverted_index.vision | 28 |
| abstract_inverted_index.visual | 13, 173 |
| abstract_inverted_index.words, | 109 |
| abstract_inverted_index.decades | 26 |
| abstract_inverted_index.improve | 121, 190 |
| abstract_inverted_index.methods | 162, 214 |
| abstract_inverted_index.outcome | 199 |
| abstract_inverted_index.provide | 100, 135 |
| abstract_inverted_index.several | 159 |
| abstract_inverted_index.source. | 106 |
| abstract_inverted_index.suggest | 111 |
| abstract_inverted_index.surface | 42 |
| abstract_inverted_index.system, | 14 |
| abstract_inverted_index.unknown | 20 |
| abstract_inverted_index.However, | 47 |
| abstract_inverted_index.analysis | 114 |
| abstract_inverted_index.analyzed | 53 |
| abstract_inverted_index.behavior | 169 |
| abstract_inverted_index.computer | 27 |
| abstract_inverted_index.designed | 218 |
| abstract_inverted_index.estimate | 37 |
| abstract_inverted_index.existing | 126 |
| abstract_inverted_index.illusion | 4 |
| abstract_inverted_index.methods, | 35, 130 |
| abstract_inverted_index.methods. | 196 |
| abstract_inverted_index.multiple | 142 |
| abstract_inverted_index.numerous | 32 |
| abstract_inverted_index.outcomes | 151 |
| abstract_inverted_index.sources. | 144 |
| abstract_inverted_index.strategy | 203 |
| abstract_inverted_index.systems. | 81 |
| abstract_inverted_index.constancy | 1, 34, 129, 161, 195, 223 |
| abstract_inverted_index.developed | 31 |
| abstract_inverted_index.estimates | 102, 137 |
| abstract_inverted_index.extracted | 184 |
| abstract_inverted_index.illusions | 49, 94, 117, 186, 210 |
| abstract_inverted_index.occurring | 9 |
| abstract_inverted_index.phenomena | 8 |
| abstract_inverted_index.reproduce | 89, 167 |
| abstract_inverted_index.sensation | 91 |
| abstract_inverted_index.transform | 220 |
| abstract_inverted_index.algorithms | 224 |
| abstract_inverted_index.constancy, | 62 |
| abstract_inverted_index.illusions. | 177 |
| abstract_inverted_index.mechanisms | 21 |
| abstract_inverted_index.noteworthy | 198 |
| abstract_inverted_index.parameters | 182 |
| abstract_inverted_index.perception | 5 |
| abstract_inverted_index.pixel-wise | 101, 136 |
| abstract_inverted_index.scientists | 29 |
| abstract_inverted_index.surprising | 66 |
| abstract_inverted_index.algorithms. | 227 |
| abstract_inverted_index.discounting | 44 |
| abstract_inverted_index.illuminant. | 46 |
| abstract_inverted_index.illuminated | 140 |
| abstract_inverted_index.outperforms | 211 |
| abstract_inverted_index.perception. | 24 |
| abstract_inverted_index.performance | 123, 192 |
| abstract_inverted_index.reflectance | 39 |
| abstract_inverted_index.significant | 73 |
| abstract_inverted_index.relationship | 69 |
| abstract_inverted_index.specifically | 217 |
| abstract_inverted_index.computational | 60 |
| abstract_inverted_index.investigation | 154, 207 |
| abstract_inverted_index.multi-illuminant | 226 |
| abstract_inverted_index.state-of-the-art | 213 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile |