Last modified by marissadiazpier on 2024/06/18 16:30

From version 14.1
edited by marissadiazpier
on 2024/06/18 16:25
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To version 15.1
edited by marissadiazpier
on 2024/06/18 16:26
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Summary

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1 -== Download the [[WhitePaper PDF.>>attach:YRW_whitepaper (1).pdf]] ==
1 +== Download the early version of this [[WhitePaper PDF.>>attach:YRW_whitepaper (1).pdf]] ==
2 2  
3 3  ==== ====
4 4  
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186 186  
187 187  3.1.8 Workflow
188 188  
189 +[[image:image-20240618162546-1.png]]
189 189  
190 190  (% style="text-align: center;" %)
191 191  **3.2 Workflow 2**
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259 259  
260 260  3.3.4 Vision
261 261  
262 -We want to build a biologically explainable model that can explain the human vision of shape perception. How do we perceive shapes, and on what factors is our perception of shapes based? The true mental model for understanding the environment, colour, depth, shapes, etc. Is learning an essential factor in human visual shape perception? Additionally, we aim to integrate robotics into the artificial vision models to verify the reliability and expand the feature set and strength of the frameworks.
263 +We want to build a biologically explainable model that can explain the human vision of shape perception. How do we perceive shapes, and on what factors is our perception of shapes based? The true mental model for understanding the environment, color, depth, shapes, etc. Is learning an essential factor in human visual shape perception? Additionally, we aim to integrate robotics into the artificial vision models to verify the reliability and expand the feature set and strength of the frameworks.
263 263  
264 264  3.3.5 Impact
265 265