Abstract

Recently, one of the central issues in the fields of Photogrammetry, Computer Vision, Computer Graphics and Image Processing is the development of tools for the automatic reconstruction of complex 3D objects. Among various approaches, one of the most promising is Structured Light 3D scanning (SL) which combines automation and high accuracy with low cost, given the steady decrease in price of cameras and projectors. SL relies on the projection of different light patterns, by means of a video projector, on 3D object sur faces, which are recorded by one or more digital cameras. Automatic pattern identification on images allows reconstructing the shape of recorded 3D objects via triangulation of the optical rays corresponding to projector and camera pixels. Models draped with realistic phototexture may be thus also generated, reproducing both geometry and appearance of the 3D world. In this context, subject of our research is a synthesis of state-of-the-art as well as the development of novel algorithms, in order to implement a 3D scanning system consisting, at this stage, of one consumer digital camera (DSLR) and a video projector. In the following, the main principles of structured light scanning and the algorithms implemented in our system are presented, and results are given to demonstrate the potential of such a system. Since this work is part of an ongoing research project, future tasks are also discussed.

Highlights

  • We are witness to a rapidly increasing demand for 3D content in a variety of application fields and scales, which range from city modeling [1], industrial metrology, inspection and quality control [2] or robotics [3] to 3D printing and rapid prototyping, augmented reality or entertainment

  • Structured light scanning (SL), which is the topic of this paper, rests on the principle of triangulation of optical rays

  • These systems consist of a video projector which projects a sequence of specific light patterns, while one or more digital cameras record the deformation of the patterns projected onto the objects

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Summary

INTRODUCTION

We are witness to a rapidly increasing demand for 3D content in a variety of application fields and scales, which range from city modeling [1], industrial metrology, inspection and quality control [2] or robotics [3] to 3D printing and rapid prototyping, augmented reality or entertainment. Structured light scanning (SL), which is the topic of this paper, rests on the principle of triangulation of optical rays These systems consist of a video projector which projects a sequence of specific light patterns (black-and-white or grayscale stripes, colored line patterns, specific targets etc.), while one or more digital cameras record the deformation of the patterns projected onto the objects (which depends on the shape of the 3D surface). The planar calibration board is rotated in space producing different perspectives captured by the camera Both the targets and corners of the projected pattern are automatically identified on the images with sub-pixel accuracy, allowing precise simultaneous estimation of internal and external system parameters in a bundle adjustment.

SYSTEM DESCRIPTION
CALIBRATION
Detection of printed targets
Detection of projected patterns
Bundle adjustment
MATCHING CAMERA AND PROJECTOR PIXELS
EXPERIMENTAL RESULTS
FUTURE TASKS
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