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<p><b>Abstract</b>—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.</p>
3D shape recovery, non-rigid object, left ventricle, angiographic image analysis, multiple view integration, time-viewpoint space.

M. Moriyama, S. Tamura, Y. Sato, H. Naito and M. Hanayama, "Acquiring 3D Models of Non-Rigid Moving Objects From Time and Viewpoint Varying Image Sequences: A Step Toward Left Ventricle Recovery," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 19, no. , pp. 253-259, 1997.
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