Augmented reality (AR) and virtual reality (VR) applications can take advantage of efficient digitalization of real objects as reconstructed elements can allow users a better connection between real and virtual worlds than using pre-set 3D CAD models.Technology advances contribute to the spread of AR and VR technologies, which are always more diffuse and popular.On the other hand, the design and implementation of virtual and extended worlds is still an open problem; affordable and robust solutions to support 3D object digitalization is still missing.This work proposes a reconstruction system that allows users to receive a 3D CAD model starting from a single image of the object to be digitalized and reconstructed.A smartphone can be used to take a photo of the object under analysis and a remote server performs the reconstruction process by exploiting a pipeline of three Deep Learning methods.Accuracy and robustness of the system have been assessed by several experiments and the main outcomes show how the proposed solution has a comparable accuracy (chamfer distance) with the state-of-the-art methods for 3D object reconstruction.

Damiano Oriti

Andrea Sanna

Francesco De Pace

Federico Manuri

Francesco Tamburello

Fabrizio Ronzino

IADIS INTERNATIONAL JOURNAL ON COMPUTER SCIENCE AND INFORMATION SYSTEMS

IADIS International Journal on Computer Science & Information Systems

3D SCENE RECONSTRUCTION SYSTEM BASED ON A MOBILE DEVICE

基于移动设备的3D场景重建系统

3D SCENE RECONSTRUCTION SYSTEM BASED ON A MOBILE DEVICE

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Journal Info

Category	Quartile
COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS	4