Robust structured-light depth mapping via recursive decomposition of binary codes

Xiaohua Feng; Liang Gao

doi:10.1117/1.OE.58.6.060501

5 June 2019 Robust structured-light depth mapping via recursive decomposition of binary codes

Xiaohua Feng, Liang Gao

Author Affiliations +

Optical Engineering, Vol. 58, Issue 6, 060501 (June 2019). https://doi.org/10.1117/1.OE.58.6.060501

Abstract

Structured-light depth cameras rely on projecting and resolving coded patterns on a three-dimensional scene with high contrast. The front-end optics of such depth cameras impose a fundamental restriction on the depth-sensing range and accuracy: the patterns only remain sharp within the depth of field jointly determined by the camera and projector. We present here a robust method to improve the depth-sensing range and accuracy for a structured-light depth camera without changing the underlying optical design. Moreover, it shows the unique advantage in macrophotography of highly light-scattering objects. We analyze the proposed method theoretically and validate it in experiments.

Citation Download Citation

Xiaohua Feng and Liang Gao "Robust structured-light depth mapping via recursive decomposition of binary codes," Optical Engineering 58(6), 060501 (5 June 2019). https://doi.org/10.1117/1.OE.58.6.060501

Received: 10 April 2019; Accepted: 16 May 2019; Published: 5 June 2019

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