"Three-dimensional range geometry compression via phase encoding," Appl. Opt. (2017)

[106] T. Bell, B. Vlahov, J.P. Allebach, and S. Zhang, "Three-dimensional range geometry compression via phase encoding," Appl. Opt., 56(33), 9285-9292, (2017); doi: 10.1364/AO.56.009285

Abstract

One of the state-of-the-art methods for three-dimensional (3D) range geometry compression is to encode 3D data within a regular 24-bit 2D color image. However, most existing methods use all three color channels to solely encode 3D data, leaving no room to store other information (e.g., texture) within the same image. This paper presents a novel method which utilizes geometric constraints, inherent to the structured light 3D scanning device, to reduce the amount of data which need be stored within the output image. The proposed method thus only requires two color channels to represent 3D data, leaving one channel free to store additional information (such as a texture image). Experimental results verify the overall robustness of the proposed method. For example, a compression ratio of 3038:1 can be achieved, versus the STL format, with a root-mean-square (RMS) error of 0.47% if the output image is compressed with JPEG 80%.

Technical Paper

"Computer-aided-design (CAD) model assisted absolute three-dimensional shape measurement" Appl. Opt. (2017)

[100] B. Li, T. Bell, and S. Zhang, "Computer-aided-design (CAD) model assisted absolute three-dimensional shape measurement,"  Appl. Opt. 56(24), 6770-6776 (2017); doi: 10.1364/AO.56.006770

Abstract

Conventional  three-dimensional (3D) shape measurement methods are typically generic to all types of objects. Yet, for many measurement conditions, such level of generality is inessential when having the pre-knowledge of object geometry. This paper introduces a novel adaptive algorithm for absolute 3D shape measurement with the assistance of the object 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 wrapped phase map from three phase-shifted fringe images; 4) retrieve absolute phase and 3D geometry assisted by CAD model. We demonstrate that if object CAD models are available, such algorithm is efficient in recovering absolute 3D geometries of both simple and complex objects with only three phase-shifted fringe images.