Correspondence Preserving Elastic Surface Registration with Shape Model Prior

Publication Type:

Conference Paper


International Conference of Pattern Recognition, Volume 22, p.2143-2148 (2014)


In this paper, we describe a framework for surface
registration. The framework consists of a combination of rigid
registration, elasticity modulated registration and the use of a
shape model prior. The main goal in this paper is to mini-
mize the geometric surface registration error while maintain-
ing correspondences. Experiments show improved geometric fit,
correspondence, and timing compared to the current state of
the art. Possible applications of the framework are construction
of correspondences for shape models, reconstruction of missing
parts, and artifact reduction.

Research area: