Abstract

Knowledge of the surface geometry of an imaging subject is important in many applications. This information can be obtained via a number of different techniques, including time of flight imaging, photogrammetry, and fringe projection profilometry. Existing systems may have restrictions on instrument geometry, require expensive optics, or require moving parts in order to image the full surface of the subject. An inexpensive generalised fringe projection profilometry system is proposed that can account for arbitrarily placed components and use mirrors to expand the field of view. It simultaneously acquires multiple views of an imaging subject, producing a cloud of points that lie on its surface, which can then be processed to form a three dimensional model. A prototype of this system was integrated into an existing Diffuse Optical Tomography and Bioluminescence Tomography small animal imaging system and used to image objects including a mouse-shaped plastic phantom, a mouse cadaver, and a coin. A surface mesh generated from surface capture data of the mouse-shaped plastic phantom was compared with ideal surface points provided by the phantom manufacturer, and 50% of points were found to lie within 0.1mm of the surface mesh, 82% of points were found to lie within 0.2mm of the surface mesh, and 96% of points were found to lie within 0.4mm of the surface mesh.

Highlights

  • The field of non-contact surface capture allows the measurement of the geometrical shape of objects and scenes

  • Sinusoidal fringe patterns are one of the most common classes of structured illumination used for non-contact surface imaging, and allow simultaneous height measurement of all areas within the fields of view of both the cameras and the structured illumination sources, using a number of different sinusoidal patterns

  • In this paper we present a sinusoidal fringe projection surface capture system which can acquire the absolute coordinates of points on a subject surface that may be discontinuous from the perspective of the system camera, for regions visible directly to the camera or visible only through reflective surfaces, and further can relax the crossed-axis constraint allowing arbitrary instrument geometry

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Summary

Introduction

The field of non-contact surface capture allows the measurement of the geometrical shape of objects and scenes. It has many applications in a number of areas ranging from archaeology to industrial quality control, and is both broad and mature. Sinusoidal fringe patterns are one of the most common classes of structured illumination used for non-contact surface imaging, and allow simultaneous height measurement of all areas within the fields of view of both the cameras and the structured illumination sources, using a number of different sinusoidal patterns. Imaging of discontinuous surfaces is problematic and the area that can be imaged is limited to the intersection of the direct fields of view of the cameras and structured light sources

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