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GPU Accelerated Polar Harmonic Transforms for Feature Extraction in ITS Applications

Zhuo Yang, Mingkai Tang, Zhuozhang Li and 2 more

IEEE Access · 2020

doi:10.1109/access.2020.2995392 (opens in a new tab)

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Abstract

Polar Harmonic Transform (PHT) is termed to represent a set of transforms those kernels are basic waves and harmonic in nature, which can improve the effect in Intelligent Transportation System (ITS) applications. PHTs consist of Polar Complex Exponential Transform (PCET), Polar Cosine Transform (PCT) and Polar Sine Transform (PST). PHTs can extract orthogonal and rotation invariant features and demonstrated superior performance in various image processing and computer vision applications. For real time systems and large multimedia databases, execution efficiency is always a significant challenge. With widespread use of Graphics Processing Unit (GPU), this study presents GPU based PHTs. Proposed methods are based on mathematical properties of PHTs and optimization techniques of GPU. Optimal parameter selections for GPU execution are also discussed. In our experiments, proposed methods are over 1800 times faster.

Abstract licence: CC BY-NC-ND

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