Mercurial > cortex
comparison org/vision.org @ 470:3401053124b0
integrating vision into thesis.
| author | Robert McIntyre <rlm@mit.edu> |
|---|---|
| date | Fri, 28 Mar 2014 17:10:43 -0400 |
| parents | 5405f369f4a0 |
| children | 819968c8a391 |
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| 469:ae10f35022ba | 470:3401053124b0 |
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| 172 (float 1) | 172 (float 1) |
| 173 (float 1000)) | 173 (float 1000)) |
| 174 (bind-sense target cam) cam)) | 174 (bind-sense target cam) cam)) |
| 175 #+end_src | 175 #+end_src |
| 176 | 176 |
| 177 #+results: add-eye | |
| 178 : #'cortex.vision/add-eye! | |
| 179 | |
| 180 Here, the camera is created based on metadata on the eye-node and | 177 Here, the camera is created based on metadata on the eye-node and |
| 181 attached to the nearest physical object with =bind-sense= | 178 attached to the nearest physical object with =bind-sense= |
| 182 ** The Retina | 179 ** The Retina |
| 183 | 180 |
| 184 An eye is a surface (the retina) which contains many discrete sensors | 181 An eye is a surface (the retina) which contains many discrete sensors |
| 185 to detect light. These sensors have can have different light-sensing | 182 to detect light. These sensors can have different light-sensing |
| 186 properties. In humans, each discrete sensor is sensitive to red, | 183 properties. In humans, each discrete sensor is sensitive to red, blue, |
| 187 blue, green, or gray. These different types of sensors can have | 184 green, or gray. These different types of sensors can have different |
| 188 different spatial distributions along the retina. In humans, there is | 185 spatial distributions along the retina. In humans, there is a fovea in |
| 189 a fovea in the center of the retina which has a very high density of | 186 the center of the retina which has a very high density of color |
| 190 color sensors, and a blind spot which has no sensors at all. Sensor | 187 sensors, and a blind spot which has no sensors at all. Sensor density |
| 191 density decreases in proportion to distance from the fovea. | 188 decreases in proportion to distance from the fovea. |
| 192 | 189 |
| 193 I want to be able to model any retinal configuration, so my eye-nodes | 190 I want to be able to model any retinal configuration, so my eye-nodes |
| 194 in blender contain metadata pointing to images that describe the | 191 in blender contain metadata pointing to images that describe the |
| 195 precise position of the individual sensors using white pixels. The | 192 precise position of the individual sensors using white pixels. The |
| 196 meta-data also describes the precise sensitivity to light that the | 193 meta-data also describes the precise sensitivity to light that the |