Abstract:In order to improve speed and precision of binocular stereo matching

this paper deals with 3D reconstruction with binocular speckle images based on heterogeneous multi-core processor.On the basis of passive binocular stereo vision model and with the assistant of projecting white binary speckle pattern

the deformed speckle images were captured and then polar-rectified.Exploiting the improved traditional fast-ZNCC calculation method and zero-mean normalized cross correlation (ZNCC) as the correlation function

the shortcomings of low precision and low efficiency of the conventional stereo vision algorithm for weak texture regional reconstruction were effectively overcame.The developed algorithm was implemented on Myriad2 platforms characterized by heterogeneous multi-core architecture achieving accurate and efficient three dimension reconstruction.The experiments demonstrated that the efficiency and performance in 3D reconstruction were significantly improved without any loss of accuracy assisted by the heterogeneous computational architecture.