Basic Study on Creating VR Exhibition Content Archived Under Adverse Conditions

In this research, we propose a VR content creation method which reproduces the original appearance of the cultural properties based spherical image taken under adverse conditions. The proposed method consists of brightness adjustment and spherical image synthesis for improvement of appearance. In the adjustment of the brightness, \(\gamma \) correction is performed so that the contrast is smoothed. In the spherical image synthesis, images are selected according to the user’s eye direction, and the image is synthesized after conversion by Moebius transformation. In order to verify the proposed method, the methods were applied to spherical images taken in the real world and evaluated. In the brightness adjustment method, the similarity between feature points is improved by the proposed method. In spherical image synthesis method, it was confirmed that the deviation became small as a result of calculation of the compositional deviation between the actual spherical image taken and the synthesized image.

[1]  Henry Segerman,et al.  Squares that Look Round: Transforming Spherical Images , 2016, ArXiv.

[2]  Jean Ponce,et al.  Accurate, Dense, and Robust Multiview Stereopsis , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Takuji Narumi,et al.  Digital Diorama: AR Exhibition System to Convey Background Information for Museums , 2011, HCI.

[4]  Takeshi Naemura,et al.  Thermo-key: human region segmentation from video , 2004, IEEE Computer Graphics and Applications.

[5]  Taeone Kim,et al.  A practical single image based approach for estimating illumination distribution from shadows , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[6]  Kuldeep Singh,et al.  Image enhancement using Exposure based Sub Image Histogram Equalization , 2014, Pattern Recognit. Lett..

[7]  Takuji Narumi,et al.  Motive compass: Navigation interface for locomotion in virtual environments constructed with spherical images , 2016, 2016 IEEE Symposium on 3D User Interfaces (3DUI).

[8]  Tom Drummond,et al.  ProFORMA: Probabilistic Feature-based On-line Rapid Model Acquisition , 2009, BMVC.

[9]  Andrew S. Glassner,et al.  Principles of Digital Image Synthesis , 1995 .

[10]  Jong-Sen Lee,et al.  Digital Image Enhancement and Noise Filtering by Use of Local Statistics , 1980, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  Takeo Kanade,et al.  Shape and motion from image streams under orthography: a factorization method , 1992, International Journal of Computer Vision.

[12]  M. B. Alt,et al.  The Design of Educational Exhibits , 1982 .