Elastic shape models for interpolations of curves in image sequences

Authors:
Shantanu H. Joshi;Anuj Srivastava;Washington Mio
Affiliations:
Department of Electrical Engineering, Florida State University, Tallahassee, FL;Department of Statistics, Florida State University, Tallahassee, FL;Department of Mathematics, Florida State University, Tallahassee, FL
Venue:
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Year:
2005

Citing 3
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Abstract

Many applications in image analysis are concerned with the temporal evolution of shapes in video sequences. In situations involving low-contrast, low-quality images, human aid is often needed to extract shapes from images. An interesting approach is to use expert help to extract shapes in certain well-separated frames, and to use automated methods to extract shapes from intermediate frames. We present a technique to interpolate between expert generated shapes. This technique preserves salient features in the interpolated shapes, and allows analysts to model a continuous evolution of shapes, instead of a coarse sampling generated by the expert. The basic idea is to establish a correspondence between points on the two end shapes, and to construct a geodesic flow on a shape space maintaining that correspondence. This technique is demonstrated using echocardiagraphic images and infrared human gait sequences.