Geometric Computer Vision: Difference between revisions

 
(12 intermediate revisions by the same user not shown)
Line 299: Line 299:
You need to do triangulation to select from the 4 solutions.
You need to do triangulation to select from the 4 solutions.


==Visual Filters==
Have filters which detect humans, cars,...
==Model-based Recognition==
You have a model for each object to recognize.<br>
The recognition system identifies objects from the model database.
===Pose Clustering===
===Indexing===
==Texture==
===Synthesis===
The goal is to generate additional texture samples from an existing texture sample.
===Filters===
* Difference of Gradients (DoG)
* Gabor Filters


==Lecture Schedule==
==Lecture Schedule==
Line 305: Line 323:
* 02/25/2021 - Camera calibration
* 02/25/2021 - Camera calibration
* 03/09/2021 - Optical flow, motion fields
* 03/09/2021 - Optical flow, motion fields
* 03/11/2021 - Epipolar constraints, essential matrix
* 03/11/2021 - Structure from motion: epipolar constraints, essential matrix, triangulation
* 03/25/2021 - Multiple topics (image motion)
* 03/25/2021 - Multiple topics (image motion)
* 03/30/2021 - Independent object motion (flow fields)
* 03/30/2021 - Independent object motion (flow fields)
Line 312: Line 330:
* 04/20/2021 - Shape from shading, normal map
* 04/20/2021 - Shape from shading, normal map
* 04/22/2021 - Recognition, classification
* 04/22/2021 - Recognition, classification
* 04/27/2021 - Visual filters, classification
* 04/29/2021 - Midterm Exam clarifications
* 05/04/2021 - Model-based Recognition
* 05/06/2021 - Texture


==Projects==
==Projects==