Abstract
In this paper, we present a new perspective to quantify the information associated with a viewpoint. The starting point is twofold: a visibility channel between a set of viewpoints and the polygons of an object, and two specific information measures introduced respectively by DeWeese and Meister (1999) and Butts (2003) to evaluate the significance of stimuli and responses in the neural code. In our approach, these information measures are applied to the visibility channel in order to quantify the information associated with each viewpoint and are compared with both viewpoint entropy and viewpoint mutual information. A number of experiments show the behavior of the proposed measures in best view selection.
| Original language | English |
|---|---|
| Pages | 16-19 |
| Number of pages | 4 |
| Publication status | Published - 2011 |
| Event | 21st International Conference on Computer Graphics and Vision, GraphiCon'2011 - Moscow, Russian Federation Duration: 26 Sept 2011 → 30 Sept 2011 |
Conference
| Conference | 21st International Conference on Computer Graphics and Vision, GraphiCon'2011 |
|---|---|
| Country/Territory | Russian Federation |
| City | Moscow |
| Period | 26/09/11 → 30/09/11 |
Keywords
- Mutual information
- Specific information
- Viewpoint selection
Fingerprint
Dive into the research topics of 'Viewpoint information'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver