Mercurial > cortex
comparison thesis/cortex.org @ 445:47cfbe84f00e
complete images in first third of first chapter.
author | Robert McIntyre <rlm@mit.edu> |
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date | Tue, 25 Mar 2014 03:18:04 -0400 |
parents | d3c5f9b70574 |
children | 3e91585b2a1c |
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444:ea0bcd47d55b | 445:47cfbe84f00e |
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180 | 180 |
181 #+caption: The worm performs many actions during free play such as | 181 #+caption: The worm performs many actions during free play such as |
182 #+caption: curling, wiggling, and resting. | 182 #+caption: curling, wiggling, and resting. |
183 #+name: worm-intro | 183 #+name: worm-intro |
184 #+ATTR_LaTeX: :width 13cm | 184 #+ATTR_LaTeX: :width 13cm |
185 [[./images/worm-free-play.png]] | 185 [[./images/worm-intro-white.png]] |
186 | 186 |
187 | 187 |
188 #+caption: Body-centerd actions are best expressed in a body-centered | 188 #+caption: Body-centerd actions are best expressed in a body-centered |
189 #+caption: language. This code detects when the worm has curled into a | 189 #+caption: language. This code detects when the worm has curled into a |
190 #+caption: full circle. Imagine how you would replicate this functionality | 190 #+caption: full circle. Imagine how you would replicate this functionality |
207 #+caption: The actions of a worm in a video can be recognized by | 207 #+caption: The actions of a worm in a video can be recognized by |
208 #+caption: proprioceptive data and sentory predicates by filling | 208 #+caption: proprioceptive data and sentory predicates by filling |
209 #+caption: in the missing sensory detail with previous experience. | 209 #+caption: in the missing sensory detail with previous experience. |
210 #+name: worm-recognition-intro | 210 #+name: worm-recognition-intro |
211 #+ATTR_LaTeX: :width 10cm | 211 #+ATTR_LaTeX: :width 10cm |
212 [[./images/wall-push.png]] | 212 [[./images/worm-poses.png]] |
213 | 213 |
214 | 214 |
215 One powerful advantage of empathic problem solving is that it | 215 One powerful advantage of empathic problem solving is that it |
216 factors the action recognition problem into two easier problems. To | 216 factors the action recognition problem into two easier problems. To |
217 use empathy, you need an /aligner/, which takes the video and a | 217 use empathy, you need an /aligner/, which takes the video and a |