| 1. |
|
|
| 2. |
- Tanács, Attila, et al.
(author)
-
Estimation of linear deformations of 3D objects
- 2010
-
In: Proceedings of 2010 IEEE 17th International Conference on Image Processing. - 9781424479924 ; , s. 153-156
-
Conference paper (peer-reviewed)abstract
- We propose a registration method to find affine transformations between 3D objects by constructing and solving an overdetermined system of polynomial equations. We utilize voxel coverage information for more precise object boundary description. An iterative solution enables us to easily adjust the method to recover e.g. rigid-body and similarity transformations. Synthetic tests show the advantage of the voxel coverage representation, and reveal the robustness properties of our method against different types of segmentation errors. The method is tested on a real medical CT volume.
|
|
| 3. |
- Tanács, Attila, et al.
(author)
-
Recovering Affine Deformations of Fuzzy Shapes
- 2009
-
In: 16th Scandinavian Conference on Image Analysis. - Berlin / Heidelberg : Springer. - 9783642022296 ; , s. 735-744, s. 735-744
-
Conference paper (peer-reviewed)abstract
- Fuzzy sets and fuzzy techniques are attracting increasing attention nowadays in the field of image processing and analysis. It has been shown that the information preserved by using fuzzy representation based on area coverage may be successfully utilized to improve precision and accuracy of several shape descriptors; geometric moments of a shape are among them. We propose to extend an existing binary shape matching method to take advantage of fuzzy object representation. The result of a synthetic test show that fuzzy representation yields smaller registration errors in average. A segmentation method is also presented to generate fuzzy segmentations of real images. The applicability of the proposed methods is demonstrated on real X-ray images of hip replacement implants.
|
|
