Binocular vision profilometry for large-sized rough optical elements using binarized band-limited pseudo-random patterns.

Abstract

In this paper, a non-contact binocular vision profilometry method is proposed to measure a rough lens with aperture of around 300mm. A series of binarized band-limited pseudo-random patterns (BBPPs) are projected onto the rough lens, we utilize the temporal encoding method so that each pixel in the captured images has its specific code word. Homologous points could be matched via stereo matching procedure, then the surface of the rough lens will be reconstructed based on triangulation method according to the previous calibration data. Compared with the three coordinate measuring machine (CMM), this method achieves a fast and cheap measurement of the large-sized rough lens, which might be highly interesting for fast and overall measurement of metre-sized rough elements in the future.