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

Xiaohua Feng, Liang Gao

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Article number060501
JournalOptical Engineering
Volume58
Issue number6
DOIs
StatePublished - Jun 1 2019

Fingerprint

binary codes
Binary codes
Cameras
Decomposition
decomposition
cameras
Optical design
Light scattering
Optics
projectors
constrictions
light scattering
optics
Experiments

Keywords

  • camera
  • depth camera
  • optical metrology
  • range finding
  • structured light
  • three-dimensional modeling

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Cite this

Robust structured-light depth mapping via recursive decomposition of binary codes. / Feng, Xiaohua; Gao, Liang.

In: Optical Engineering, Vol. 58, No. 6, 060501, 01.06.2019.

Research output: Contribution to journalArticle

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