
17
Elastic Prior Shape Models of 3D Objects for
Bayesian Image Analysis
Sebastian K urtek
The Ohio State University
Qian Xie
Florida State University
CONTENTS
17.1 Intro ductio n . . . . . . . . .. . . . . . .. .. . . . . . .. . . .. . . . .. . . .. . . . .. .. . . . .. .. . 347
17.1.1 Related work . .. . . .. . . . .. .. .. . .. . . .. . . . . . . . .. . . . . . .. .. . . . . 350
17.1.2 Utility of shape models in Bayesian image analysis . . . .. 352
17.2 Representation of Surfaces . . . . .. .. .. . .. . . .. . . . . . . . .. . . . . . .. .. . . . . 353
17.2.1 Pre-shape and shape spaces . . . . . .. .. . . . . . .. . . . . . . . .. . . .. 354
17.2.2 Shape ...