Title :
The complex EGI: a new representation for 3-D pose determination
Author :
Kang, Sing Bing ; Ikeuchi, Katsushi
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fDate :
7/1/1993 12:00:00 AM
Abstract :
The complex extended Gaussian image (CEGI), a 3D object representation that can be used to determine the pose of an object, is described. In this representation, the weight associated with each outward surface normal is a complex weight. The normal distance of the surface from the predefined origin is encoded as the phase of the weight, whereas the magnitude of the weight is the visible area of the surface. This approach decouples the orientation and translation determination into two distinct least-squares problems. The justification for using such a scheme is twofold: it not only allows the pose of the object to be extracted, but it also distinguishes a convex object from a nonconvex object having the same EGI representation. The CEGI scheme has the advantage of not requiring explicit spatial object-model surface correspondence in determining object orientation and translation. Experiments involving synthetic data of two polyhedral and two smooth objects are presented to illustrate the feasibility of this method
Keywords :
encoding; image processing; image recognition; least squares approximations; 3D object representation; complex extended Gaussian image; image processing; image recognition; least-squares problems; orientation; outward surface normal; translation; Aerospace electronics; Computer vision; Data mining; Object recognition; Orbital robotics; Research and development; Robot kinematics; Robot vision systems; Rough surfaces; Surface roughness;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on