Unsupervised learning of multiple objects in images
Developing computer vision algorithms able to learn from unsegmented images containing multiple objects is important since this is how humans constantly learn from visual experiences. In this thesis we consider images containing views of multiple objects and our task is to learn about each of the ob...
| Main Author: | |
|---|---|
| Other Authors: | |
| Published: |
University of Edinburgh
2005
|
| Subjects: | |
| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.561892 |