Share Email Print

Proceedings Paper

Photorealistic image synthesis and camera validation from 2D images
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper presents a new 3D scene reconstruction technique using the Unity 3D game engine. The method presented here allow us to reconstruct the shape of simple objects and more complex ones from multiple 2D images, including infrared and digital images from indoor scenes and only digital images from outdoor scenes and then add the reconstructed object to the simulated scene created in Unity 3D, these scenes are then validated with real world scenes. The method used different cameras settings and explores different properties in the reconstructions of the scenes including light, color, texture, shapes and different views. To achieve the highest possible resolution, it was necessary the extraction of partial textures from visible surfaces. To recover the 3D shapes and the depth of simple objects that can be represented by the geometric bodies, there geometric characteristics were used. To estimate the depth of more complex objects the triangulation method was used, for this the intrinsic and extrinsic parameters were calculated using geometric camera calibration. To implement the methods mentioned above the Matlab tool was used. The technique presented here also let’s us to simulate small simple videos, by reconstructing a sequence of multiple scenes of the video separated by small margins of time. To measure the quality of the reconstructed images and video scenes the Fast Low Band Model (FLBM) metric from the Video Quality Measurement (VQM) software was used. Low bandwidth perception based features include edges and motion.

Paper Details

Date Published: 5 June 2014
PDF: 10 pages
Proc. SPIE 9117, Three-Dimensional Imaging, Visualization, and Display 2014, 911712 (5 June 2014); doi: 10.1117/12.2050916
Show Author Affiliations
Juan Carlos Santos Ferrer, Univ. de Puerto Rico Mayagüez (United States)
David González Chévere, Univ. de Puerto Rico Mayagüez (United States)
Vidya Manian, Univ. de Puerto Rico Mayagüez (United States)

Published in SPIE Proceedings Vol. 9117:
Three-Dimensional Imaging, Visualization, and Display 2014
Bahram Javidi; Jung-Young Son; Osamu Matoba; Manuel Martínez-Corral; Adrian Stern, Editor(s)

© SPIE. Terms of Use
Back to Top