Image formation and visual perception. Images, line structures, and line drawings. Preprocessing, boundary detection, texture, and region growing. Image representation in terms of boundaries, regions, and shape. Three-dimensional structures and their projections. Analysis, manipulation, and classification of image data. Knowledge-based approaches to image understanding. Applications from fields of robot vision, biomedical-image analysis, and satellite and aerial image interpretation.
| Spring | Summer | Fall | ||
|---|---|---|---|---|
| (Session 1) | (Session 2) | |||
| 2023 |
Computer Vision (3c)
|
|||
| 2022 | ||||
| 2021 |
Computer Vision (3c)
|
|||
| 2020 | ||||
| 2019 |
Computer Vision (3c)
|
|||
| 2018 | ||||
| 2017 |
Computer Vision (3c)
|
|||
| 2016 |
Computer Vision (3c)
|
|||
| 2015 |
Computer Vision (3c)
|
|||
| 2014 |
Computer Vision (3c)
|
|||
| 2013 |
Computer Vision (3c)
|
|||
| 2012 |
Computer Vision (3c)
|
|||
| 2011 | ||||
| 2010 |
Computer Vision (3c)
|
|||
| 2009 | ||||
| 2008 |
Computer Vision (3c)
|
|||
| 2007 | ||||
| 2006 |
Computer Vision (3c)
|
|||
| 2005 |
Computer Vision (3c)
|
|||
| 2004 |
Computer Vision (3c)
|
|||
| 2003 |
Computer Vision (3c)
|
|||
| 2002 |
Computer Vision (3c)
|
|||
| 2001 |
Computer Vision (3c)
|
|||
| 2000 | ||||
| 1999 | ||||
| 1998 | ||||