Chye-Hwa Loo

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Chye-Hwa Loo, Khaled Elmahgoub, Fan Yang, Atef Elsherbeni* , Darko Kajfez, Ahmed Kishk, Tamer Elsherbeni, Leena Ukkonen, Lauri Sydänheimo, Markku Kivikoski, Sari Merilampi, and Pekka Ruuskanen (1) Department of Electrical Engineering, The University of Mississippi, University, MS, 38677, USA {cloo, kelmahgo, fyang, atef, eedarko, ahmed,(More)
The task of object classification is complicated by variations in the three-dimensional (3D) object, which translate into distortions in 2-D images. The pattern matching for invariance classification requires a large amount of data and computation time. Proposed here is an efficient distortion invariant object classification algorithm for real-time(More)
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