3-D object recognition using MEGI model from range data

H Matsuo, A Iwata - … of 12th International Conference on Pattern …, 1994 - ieeexplore.ieee.org
Description and recognition of objects is the central considerations of research on computer
vision. The key issue is how to represent 3D objects on a machine for recognizing them.
Researchers of computer vision commonly employ the extended Gaussian image (EGI)
model, but it is not able to express concave objects. In this paper, an MEGI (more EGI) model
and coefficient of extended spherical correlation have been proposed. The MEGI model is
an, extended EGI modeling which is able to represent concave objects. The extended …

3-D object recognition using MEGI model from range data

A Iwata, H Matsuo - Proceedings of 12th International Conference on …, 2002 - cir.nii.ac.jp
Description and recognition of objects is the central considerations of research on computer
vision. The key issue is how to represent 3D objects on a machine for recognizing them.
Researchers of computer vision commonly employ the extended Gaussian image (EGI)
model, but it is not able to express concave objects. In this paper, an MEGI (more EGI) model
and coefficient of extended spherical correlation have been proposed. The MEGI model is
an, extended EGI modeling which is able to represent concave objects. The extended …
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