Performance evaluation of phase-based correspondence matching on GPUs
Mamoru Miura, Kinya Fudano, Koichi Ito, Takafumi Aoki, Hiroyuki Takizawa, Hiroaki Kobayashi · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
This paper proposes a Graphics Processing Unit (GPU) implementation of the stereo correspondence matching using Phase-Only Correlation (POC). The use of high-accuracy stereo correspondence matching based on POC makes it possible to measure accurate 3D shape of an object using stereo vision, while the drawback of POCbased approach is its high computational cost. Addressing this problem, we propose a GPU implementation of POC-based correspondence matching. Through a set of experiments using a variety of GPUs, we demonstrate that the proposed implementation exhibits high-speed and high-efficiency computation of POC-based stereo correspondence matching compared with the CPU implementation. We also apply the proposed implementation to two types of 3D measurement application and demonstrate their effectiveness.