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Abstract
Abstract. The multiview phase-shifting method shows its powerful capability in achieving high resolution three-dimensional (3-D) shape measurement. Unfortunately, this ability results in very high computation costs and3-D computations have to be processed offline. To realize real-time 3-D shape measurement, a hybrid parallelcomputing architecture is proposed for multiview phase shifting. In this architecture, the central processingunit can co-operate with the graphic processing unit (GPU) to achieve hybrid parallel computing. The highcomputation cost procedures, including lens distortion rectification, phase computation, correspondence,and 3-D reconstruction, are implemented in GPU, and a three-layer kernel function model is designed to simul-taneously realize coarse-grained and fine-grained paralleling computing. Experimental results verify that thedeveloped system can perform 50 fps (frame per second) real-time 3-D measurement with 260 K 3-D pointsper frame. A speedup of up to 180 times is obtained for the performance of the proposed technique using aNVIDIA GT560Ti graphics card rather than a sequential C in a 3.4 GHZ Inter Core i7 3770.
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