 |
|
Poppe, R.W. and Poel, M.
(2005)
Example-based pose estimation in monocular images using compact fourier descriptors.
CTIT Technical Report series TR-CTIT-05-49,
Centre for Telematics and Information Technology University of Twente, Enschede.
ISSN 1381-3625
Full text available as:  AbstractAutomatically estimating human poses from visual input is useful but challenging due
to variations in image space and the high dimensionality of the pose space. In this
paper, we assume that a human silhouette can be extracted from monocular visual
input. We compare the recovery performance of Fourier descriptors with a number
of coefficients between 8 and 128, and two different sampling methods. An examplebased
approach is taken to recover upper body poses from the descriptors. We test the
robustness of our approach by investigating how shape deformations due to changes
in body dimensions, viewpoint and noise affect the recovery of the pose. The average
error per joint is approximately 16-17° for equidistant sampling and slightly higher
for extreme point sampling. Increasing the number of descriptors does not have any
influence on the performance. Noise and small changes in viewpoint have only a
very small effect on the recovery performance but we obtain higher error scores when
recovering poses using silhouettes from a person with different body dimensions. | Item Type: | Internal Report (CTIT Technical Report series) |
|---|
| Research Group: | EWI-HMI: Human Media Interaction |
|---|
| Research Project: | AMI: Augmented Multi-party Interaction, ICIS: Interactive Collaborative Information Systems |
|---|
| Additional Information: | Imported from HMI |
|---|
| ID Code: | 1881 |
|---|
| Deposited On: | 20 June 2006 |
|---|
| Refereed: | No |
|---|
| More Information: | statisticsmetis |
|---|
Export this item as: To correct this item please ask your editor Repository Staff Only: edit this item
|
|
|
Nederlands
Contact
Sitemap
Search
Organisation