Abstract | ||
---|---|---|
The paper presents a new parameter-freeapproach to non-rigid image regis- tration, where displacements, obtained through a mapping of boundary struc- tures in the source and target image, are incorporated as hard constraints into elastic image deformation. As a consequence, our approach does not contain any parameters of the deformation model (elastic constants). The approach guarantees the exact correspondence of boundary structures after elastic transformation provided that correct input data are available. We de- scribe a linear and an incremental model, the latter model allows to cope also with large deformations. Experimental results for 2-D and 3-D synthetic as well as real medical images are presented. |
Year | Venue | Field |
---|---|---|
1998 | BMVC | Computer vision,Computer science,Incremental build model,Image deformation,Artificial intelligence,Deformation (mechanics),Elasticity (economics),Image registration |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
13 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Wladimir Peckar | 1 | 39 | 5.07 |
Christoph Schnörr | 2 | 3025 | 219.34 |
Karl Rohr | 3 | 56 | 8.86 |
H. Siegfried Stiehl | 4 | 516 | 67.10 |