Study of Pose Detection Algorithm for Specific Object Based on Monocular Vision

Ling Yun Liu; Min Luo; Yue Min Wu

doi:10.4028/www.scientific.net/AMM.651-653.517

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 651-653Study of Pose Detection Algorithm for Specific...

Study of Pose Detection Algorithm for Specific Object Based on Monocular Vision

Abstract:

This paper brings forward a monocular vision detection algorithm in allusion to the specific object’s pose based on Hausdorff Distance. At first, according to the mathematic model which has been established, the 2D template sequence is generated by projecting the specific object in different poses into the image plane of a virtual camera. Then, in order to predigest calculations and accelerate the matching speed during the image matching, the algorithm adopts the local-mean Hausdorff Distance as matching estimate and adopts the search strategy based on hiberarchy which reduces the searching rang by the threshold method before accurate match. In the end of this paper, the experiment that measures the poses of the clamp via the different clamp images respectively is given to testify the validity and speediness of this algorithm.

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Periodical:

Applied Mechanics and Materials (Volumes 651-653)

Pages:

517-523

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.651-653.517

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Online since:

September 2014

Authors:

Ling Yun Liu*, Min Luo, Yue Min Wu

Keywords:

CAD Model, Hausdorff Distance, Local-Mean, Monocular Vision, Pose Detection, Search Strategy of Hiberarchy

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