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Fast 3D shape recovery of a rough mechanical component from real time passive autofocus system

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Abstract

By using a passive autofocus system through a charge-coupled device (CCD) camera, this paper presents a new Yuan-Ze University (YZU) algorithm to detect the position of the sharpest image from a rough surface of an industry component quickly and accurately. To prove the performance of the YZU algorithm, it is compared to some well-known methods like fast Fourier transform (FFT), amplitude, Laplacian, discreet cosine transform (DCT), and conventional edge operators. Moreover, a new dynamic search method that implements this algorithm to produce real time digital image systems with fast response, accuracy, and robustness is proposed. The experiment results show that this technique is applicable to practical 3D measurement. In the application, two specimens a gauge block and an integrated circuit (IC) leadframe are tested to demonstrate the validity of 3D reconstruction from this YZU algorithm.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Yuan-Ze University, 135, Far East Road,Nei-Li, Taoyuan, Taiwan, 320, Republic of China

    Chwan-Hsen Chen & Teng-Lang Feng

  2. Lecturer of Nanya Institute of Technology, Department of Mechanical Engineering, Nanya Institute of Technology, 414, sec. 3, Jung Shan E. Rd., Chung-Li, Taiwan, 320, Republic of China

    Teng-Lang Feng

Authors
  1. Chwan-Hsen Chen
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  2. Teng-Lang Feng
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Correspondence to Teng-Lang Feng.

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Chen, CH., Feng, TL. Fast 3D shape recovery of a rough mechanical component from real time passive autofocus system. Int J Adv Manuf Technol 34, 944–957 (2007). https://doi.org/10.1007/s00170-006-0660-x

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  • DOI: https://doi.org/10.1007/s00170-006-0660-x

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