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We captured RGB and Depth images with two tools: the Intel Realsense R200 world-facing camera and the Google Camera app.
We captured RGB and Depth images with two tools: the Intel Realsense R200 world-facing camera and the Google Camera app.


[[File:R200.png|thumb|center|120x60px|Figure 1. Intel Realsense R200.]]
[[File:R200.jpg|thumb|center|120x60px|Figure 1. Intel Realsense R200.]]


[[File:R200.png|400px|right|thumb|Fig. 1 - Popular Car Racing Game - ''Need For Speed'']]
[[File:R200.png|400px|right|thumb|Fig. 1 - Popular Car Racing Game - ''Need For Speed'']]

Revision as of 04:59, 15 December 2016

Introduction

There are several examples of popular tools for filter creation. A popular one is Instagram, released in 2010 and acquired by Facebook in 2012.

Another one is Prisma, which makes use of convolutional neural networks to transfer artistic qualities of one image onto another [1].

Background

Methods

Data Capture

We captured RGB and Depth images with two tools: the Intel Realsense R200 world-facing camera and the Google Camera app.

Figure 1. Intel Realsense R200.
File:R200.png
Fig. 1 - Popular Car Racing Game - Need For Speed

Results

Conclusions

References

[1] http://www.cv-foundation.org/openaccess/content_cvpr_2016/papers/Gatys_Image_Style_Transfer_CVPR_2016_paper.pdf

Appendix I

Appendix II