Acquiring 3D models of non-rigid moving objects from time and viewpoint varying image sequences: a step toward left ventricle recovery
Yoshinobu Sato, Masamitsu Moriyama, M. Hanayama, H. Naito, Shinichi Tamura · IEEE Transactions on Pattern Analysis and Machine Intelligence · 1997
This paper describes a method for the accurate recovery of time-varying 3D shapes with known cycle from images with different viewpoints as well as times; aiming at the recovery of the left ventricular shapes. Our recovery method is based on the integration of apparent contours from different viewpoints. We perform direct fitting to a 4D closed surface model based on B-splines so as to deal with fragmented contours such as extracted from X-ray cineangiocardiograms. The method is quantitatively evaluated using synthesized and real image sequences.