Eulerian-Lagrangian stereo-to-multi-view Conversion
Name
967665359-MIT.pdf
Description
Full printable version
Size
6.48 MB
Format
Adobe PDF
Checksum (MD5)
912c18d8801e6e86e1d7a32cb9c72a0e
Author(s)
Wang, Szu-Po
Advisor(s)
Wojciech Matusik.
Date Issued
2016
Publisher
Massachusetts Institute of Technology
Abstract
In contrast to the popularity of stereoscopic 3D (S3D) movies in movie theaters, the adoption of S3D at home is low. It is widely believed that watching S3D with glasses is not the pratical approach for a home setting. A much more appealing approach is to use automultiscopic displays that provide a glasses-free 3D experience to multiple viewers. The main technical challenge that hampers the adaptation of this technology is the lack of multi-view content. We develop a real-time system that converts stereoscopic video to a high-quality, multi-view video, which can be directly fed to automultiscopic displays. Our algorithm uses a wavelet-based decomposition of stereoscopic images with per-wavelet disparity estimation. One key contribution lies in combining Lagrangian and Eulerian approaches. This allows us to leverage their complementary advantages. The method achieves real-time performance on current GPUs. Its design also enables an easy hardware implementation, demonstrated using a field-programmable gate array.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 49-52).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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