Partial pose estimation of 3D rigid object system using outer box method

Z. Zulkoffli, Elmi Abu Bakar

Abstract


This article introduces a novel approach for identify partial pose estimation using template matching method. The algorithms performs 2D correlation matching on tested image to CAD database by using regional shape representation in order to get the similar object pose in CAD database. The descriptor named outer box method, it is useful for rescale or aligning object size in both different images of tested image and CAD database image and also provide interest point for segmentation in image registration stage. The proposed algorithm were experimentally shown to be robust to apply on scale changes, various complex shape, unstructured CAD database and mixed CAD model database.  Last part, the identified pose and its retrieved pose angle was calculated and achieved high accuracyin range ±0.388˚ to ±1.471˚. 


Keywords


Correlation matching, Partial pose estimation



DOI: http://doi.org/10.11591/ijeecs.v18.i2.pp%25p
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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