Title :
3-D object recognition using MEGI model from range data
Author :
Matsuo, Hiroshi ; Iwata, Akira
Author_Institution :
Dept. of Electr. & Comput. Eng., Nagoya Inst. of Technol., Japan
Abstract :
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 spherical correlation is a measure for recognizing objects using the MEGI model. It has been demonstrated that this model is able to recognize 3D objects, including concave ones, and to distinguish objects using a part of MEGI from range data
Keywords :
object recognition; 3D object recognition; computer vision; concave objects; extended EGI model; extended Gaussian image model; extended spherical correlation; range data; Computer vision; Equations; Image analysis; Object recognition; Position measurement; Shape;
Conference_Titel :
Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
Conference_Location :
Jerusalem
Print_ISBN :
0-8186-6265-4
DOI :
10.1109/ICPR.1994.576466
