Abstract
The measurement of 3D spatial coordinates for model reconstruction through artificial machine vision systems based on optical sensors and the corresponding signal processing associated with algorithms is a powerful module for cyber systems. It provides an efficient, functional, and intelligent vision and data information of the objects and scenes under observation for decisions, as well as for remote environment interactivity and autonomous robot systems actuation. Over the past 20 years, the artificial machine vision has benefited from emerging technology and a promising huge potential is peeking out, but also technical difficulties achieving customized and true commercial applications. This paper reviews the research progress, trends, and future research directions; the state-of-the-art of topics related to the 3D spatial measurement for model reconstruction. It classifies the technology by its fundamental principles and applications, to construct an outlook about its advantages, disadvantages, and challenges.
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