Title
Stereo vision–based depth of field rendering on a mobile device
Abstract
The depth of field (DoF) effect is a useful tool in photography and cinematography because of its aesthetic value. However, capturing and displaying dynamic DoF effect were until recently a quality unique to expensive and bulky movie cameras. A computational approach to generate realistic DoF effects for mobile devices such as tablets is proposed. We first calibrate the rear-facing stereo cameras and rectify the stereo image pairs through FCam API, then generate a low-res disparity map using graph cuts stereo matching and subsequently upsample it via joint bilateral upsampling. Next, we generate a synthetic light field by warping the raw color image to nearby viewpoints, according to the corresponding values in the upsampled high-resolution disparity map. Finally, we render dynamic DoF effect on the tablet screen with light field rendering. The user can easily capture and generate desired DoF effects with arbitrary aperture sizes or focal depths using the tablet only, with no additional hardware or software required. The system has been examined in a variety of environments with satisfactory results, according to the subjective evaluation tests. (C) 2014 SPIE and IS&T
Year
DOI
Venue
2014
10.1117/1.JEI.23.2.023009
JOURNAL OF ELECTRONIC IMAGING
Keywords
DocType
Volume
depth of field,programmable cameras,joint bilateral upsampling,light field
Journal
23
Issue
ISSN
Citations 
2
1017-9909
8
PageRank 
References 
Authors
0.60
16
4
Name
Order
Citations
PageRank
Qiaosong Wang1505.98
Zhan Yu21227.17
Christopher E. Rasmussen3364.60
Jingyi Yu41238101.25