Abstract

The Structure Light System (SLS) is a general concept and it is one of the cheapest methods for the non-contact-based 3D reconstruction. The existing single-shot SLS which is primarily based on the spatial encoding techniques are not optimal in terms of resolution and digitally encoded patterns. Those schemes are not flexible, controllable, and designed up to the level of the pixel. So, to increase the resolution and to implement a flexible controllable pattern we proposed a novel heuristic method based on the spatial neighborhood. In this paper, we propose a multi-resolution SLS which can be implemented with a set of 25 geometrical shaped distinct symbols or alphabets to use in the projection pattern as shape primitive. The size of each symbol is well defined in pixels which enabled us to have access and control up to the full resolution of the projector. The shape descriptive parameters for each symbol or alphabet are also defined and computed. To spread the alphabets in a controllable manner, a method is defined to generate a robust pseudo-random sequence of any required size with a certain number of alphanumeric bases, to be employed in the projection pattern concerning the measured resolution. This arrangement will enable us to design the projection patterns according to the required surface area and the resolution. A new technique is developed for the decoding of the captured image pattern. The decoding process depends upon the classification of symbols which is based on shape descriptive parameters. The searching in the neighborhood of a symbol is carried out through computing the location information, grid distance, and direction information to find the codewords which are used to establish the correspondence.

Highlights

  • Fast, real-time, single-shot 3D measurement has become the most challenging task and it has been widely used in industrial manufacturing, the range sensing applications, the inspection and modeling in the automation industry, reverse engineering, and medical imaging applications.In this research, we will define a complete procedure for the development of the fast, single shot, dynamic 3D vision measurement techniques based on the structured light spatial encoding projection.Many techniques have been evolved during the past two decades for the designing of Structure Light System (SLS)

  • We have proposed 25 geometrical shaped symbols, well-controlled in size

  • We present a comparatively easy and flexible technique to generate robust pseudo-random sequences of any required size and ensuring their robustness through the window property

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Summary

INTRODUCTION

Real-time, single-shot 3D measurement has become the most challenging task and it has been widely used in industrial manufacturing, the range sensing applications, the inspection and modeling in the automation industry, reverse engineering, and medical imaging applications. We will define a complete procedure for the development of the fast, single shot, dynamic 3D vision measurement techniques based on the structured light spatial encoding projection. Used an iterative algorithm to generate a pattern based on a pseudo-random array with 45 × 45 features Instead of symbols, he used a multi-color dot matrix and time multiplexing on/off assignment to illuminate the surface. Proposed 10 alphabets based M-array with a feature size of 79×59 but he used shaped symbols, so lesser feature points were detected All these authors try to increase the feature points but their patterns are not completely designed up to the levels of the pixel. Our method is more suitable due to being the utilization of monochromatic light and robust symbols which combine the power of both grid-coding and predefine labeling techniques which were previously implemented with multi colors patterns

ENCODING PROCESS
DESIGN OF SYMBOLS
GENERATION OF RPRS
FORMATION OF PROJECTION PATTERN
PROJECTOR AND CAMERA CALIBRATION
DECODING PROCESS
PREPROCESSING
CLASSIFICATION OF SYMBOLS
SEARCHING IN THE NEIGHBORHOOD
RECONSTRUCTION OF 3D
RESULTS AND EXPERIMENT
CONCLUSION
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