Mercurial > cortex
diff org/vision.org @ 470:3401053124b0
integrating vision into thesis.
author | Robert McIntyre <rlm@mit.edu> |
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date | Fri, 28 Mar 2014 17:10:43 -0400 |
parents | 5405f369f4a0 |
children | 819968c8a391 |
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1.1 --- a/org/vision.org Fri Mar 28 16:34:35 2014 -0400 1.2 +++ b/org/vision.org Fri Mar 28 17:10:43 2014 -0400 1.3 @@ -174,21 +174,18 @@ 1.4 (bind-sense target cam) cam)) 1.5 #+end_src 1.6 1.7 -#+results: add-eye 1.8 -: #'cortex.vision/add-eye! 1.9 - 1.10 Here, the camera is created based on metadata on the eye-node and 1.11 attached to the nearest physical object with =bind-sense= 1.12 ** The Retina 1.13 1.14 An eye is a surface (the retina) which contains many discrete sensors 1.15 -to detect light. These sensors have can have different light-sensing 1.16 -properties. In humans, each discrete sensor is sensitive to red, 1.17 -blue, green, or gray. These different types of sensors can have 1.18 -different spatial distributions along the retina. In humans, there is 1.19 -a fovea in the center of the retina which has a very high density of 1.20 -color sensors, and a blind spot which has no sensors at all. Sensor 1.21 -density decreases in proportion to distance from the fovea. 1.22 +to detect light. These sensors can have different light-sensing 1.23 +properties. In humans, each discrete sensor is sensitive to red, blue, 1.24 +green, or gray. These different types of sensors can have different 1.25 +spatial distributions along the retina. In humans, there is a fovea in 1.26 +the center of the retina which has a very high density of color 1.27 +sensors, and a blind spot which has no sensors at all. Sensor density 1.28 +decreases in proportion to distance from the fovea. 1.29 1.30 I want to be able to model any retinal configuration, so my eye-nodes 1.31 in blender contain metadata pointing to images that describe the