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一篇第一作者文章在国际知名学术刊物IJPRAI上发表


2018-08-25

To be cited as:

Zhang Y*, Wu CS, Gao YJ, Yang B*. From flapping bumblebee to evolving sand dune: A reconstruction-based algorithm to feature the digitally recorded objects. International Journal of Pattern Recognition and Artificial Intelligence. 2018. https://doi.org/10.1142/S0218001419540156

 

Abstract: A reconstruction-based image processing algorithm is developed to automatically extract feature points of digitalized 2D objects. This algorithm, which is introduced using a bumblebee flight case, is made up of two parts: a four-connected dot chasing rearrangement scheme and an extreme point extraction on a polarized contour. It is then applied to a dune evolution case that is simulated with a cellular automation model. The results show that the proposed algorithm is effective in characterizing individual moving objects. An additional algorithm is developed to categorize the extracted feature points of a bumblebee with translucent wings.

 

 




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