Abstract

Conventional three-dimensional (3D) shape measurement methods are typically generic to all types of objects. Yet, for many measurement conditions, such a level of generality is inessential when having the preknowledge of the object geometry. This paper introduces a novel adaptive algorithm for absolute 3D shape measurement with the assistance of the object computer-aided-design (CAD) model. The proposed algorithm includes the following major steps: (1) export the 3D point cloud data from the CAD model; (2) transform the CAD model into the camera perspective; (3) obtain a wrapped phase map from three phase-shifted fringe images; and (4) retrieve absolute phase and 3D geometry assisted by the CAD model. We demonstrate that if object CAD models are available, such an algorithm is efficient in recovering absolute 3D geometries of both simple and complex objects with only three phase-shifted fringe images.

© 2017 Optical Society of America

Absolute three-dimensional shape measurement with a known object

Junfei Dai, Yatong An, and Song Zhang
Opt. Express 25(9) 10384-10396 (2017)

Absolute three-dimensional shape measurement with two-frequency square binary patterns

Chufan Jiang and Song Zhang
Appl. Opt. 56(31) 8710-8718 (2017)

Pixel-by-pixel absolute three-dimensional shape measurement with modified Fourier transform profilometry

Huitaek Yun, Beiwen Li, and Song Zhang
Appl. Opt. 56(5) 1472-1480 (2017)

Three-dimensional absolute shape measurement by combining binary statistical pattern matching with phase-shifting methods

Yatong An and Song Zhang
Appl. Opt. 56(19) 5418-5426 (2017)

Single-shot absolute 3D shape measurement with Fourier transform profilometry

Beiwen Li, Yatong An, and Song Zhang
Appl. Opt. 55(19) 5219-5225 (2016)