Uniform sampling of rotations for discrete and continuous learning of 2D shape models
Tipo de documentoCapítulo de libro
Fecha de publicación2012-12
Condiciones de accesoAcceso restringido por política de la editorial
Different methodologies of uniform sampling over the rotation group, SO(3), for building unbiased 2D shape models from 3D objects are introduced and reviewed in this chapter. State-of-the-art non uniform sampling approaches are discussed, and uniform sampling methods using Euler angles and quaternions are introduced. Moreover, since presented work is oriented to model building applications, it is not limited to general discrete methods to obtain uniform 3D rotations, but also from a continuous point of view in the case of Procrustes Analysis.
CitaciónPerez-Sala, X. [et al.]. Uniform sampling of rotations for discrete and continuous learning of 2D shape models. A: "Robotic vision : technologies for machine learning and vision applications". IGI Global, 2012, p. 23-42.