The capture and digital reconstruction of tridimensional objects and scenarios are issues of great importance in computational vision and computer graphics, for the numerous applications, from navigation and scenario mapping, augmented reality to medical prototyping. In the past years, with the appearance of portable and low-cost devices such as the Kinect Sensor, which are capable of acquiring RGBD video (depth and color data) in real-time, there was a major interest to use these technologies, efficiently, in 3D surface scanning. In this paper, we present a survey of the most relevant methods from recent literature on scanning 3D surfaces using these devices and give the reader a general overview of the current status of the field in order to motivate and enable other works in this topic.
CITATION STYLE
Hitomi, E. E., Silva, J. V. L., & Ruppert, G. C. S. (2015). 3D scanning using RGBD imaging devices: A survey. Lecture Notes in Computational Vision and Biomechanics, 19, 379–395. https://doi.org/10.1007/978-3-319-13407-9_22
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