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IPMI
2005
Springer

Elastic Shape Models for Interpolations of Curves in Image Sequences

14 years 4 months ago
Elastic Shape Models for Interpolations of Curves in Image Sequences
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.
Shantanu H. Joshi, Anuj Srivastava, Washington Mio
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where IPMI
Authors Shantanu H. Joshi, Anuj Srivastava, Washington Mio
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