Publica
Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten. Precise head segmentation on arbitrary backgrounds
| Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
16th IEEE International Conference on Image Processing, ICIP 2009. Proceedings. Vol.4 : Cairo, Egypt, 7 - 10 November 2009
Piscataway, NJ: IEEE, 2009
ISBN: 978-1-4244-5653-6
ISBN: 978-1-4244-5654-3
S.2381-2384 |
| International Conference on Image Processing (ICIP) <16, 2009, Cairo> |
|
| Englisch |
| Konferenzbeitrag |
| Fraunhofer HHI () |
| image segmentation; iterative methods |
Abstract
We propose a method for segmentation of frontal human portraits from arbitrary unknown backgrounds. Semantic information is used to project the face into a normalized reference frame. A shape model learned from a set of manually segmented faces is used to compute a rough initial segmentation using a fast iterative algorithm. The rough initial cutout is refined with a boundary based algorithm called 'cluster cutting'. Cluster cutting uses a cost function derived from clustering pixels along the normal of the initial segmentation path with a tree-building algorithm. The result can be refined by the user with an interactive variant of the same algorithm.