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WANG Huaming
ZHU Jianying
School of Mechanical and
Electrical Engineering,
Nanjing University of Aeronautics
and Astronautics,
Nanjing 210016, China
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TWO-STAGE OCCLUDED OBJECT RECOGNITION
METHOD
FOR MICROASSEMBLY*
Abstract:
A two-stage object recognition algorithm with the presence of occlusion is presented for microassembly.
Coarse localization determines whether template is in image or
not and approximately where it is, and fine localization gives
its accurate position. In coarse localization, local feature,
which is invariant to translation, rotation and occlusion, is
used to form signatures. By comparing signature of template with
that of image, approximate transformation parameter from
template to image is obtained, which is used as initial parameter value for fine localization. An objective function, which is a function of transformation parameter, is constructed in fine localization and minimized to realize sub-pixel localization accuracy. The occluded pixels are not taken into account in objective function, so the localization accuracy will not be influenced by the occlusion.
Key words:
Object recognition Local feature Sub-pixel Objective function |