Title :
Deformable Velcro surfaces
Author :
Neuenschwander, W. ; Fua, P. ; Székely, G. ; Kübler, O.
Author_Institution :
Lab. of Commun. Technol., Swiss Federal Inst. of Technol., Zurich, Switzerland
Abstract :
We present a new approach to segmentation of 3-D shapes that initializes and then optimizes a 3-D surface model given only the data and a very small number of 3-D seed points and corresponding surface normals. This is a valuable capability for medical, robotic and cartographic applications where such seed points can be naturally supplied. In effect, the surface model is clamped onto the object boundary in manner reminiscent of a Velcro being closed. We develop the method´s mathematic framework and show preliminary results using volumetric medical data
Keywords :
image segmentation; 3-D seed points; 3-D shapes; 3-D surface model; deformable Velcro surfaces; image segmentation; mathematic framework; object boundary; surface normals; volumetric medical data; Biomedical imaging; Communications technology; Deformable models; Graphics; Image segmentation; Laboratories; Medical robotics; Optimization methods; Shape; Surface reconstruction;
Conference_Titel :
Computer Vision, 1995. Proceedings., Fifth International Conference on
Conference_Location :
Cambridge, MA
Print_ISBN :
0-8186-7042-8
DOI :
10.1109/ICCV.1995.466852
