06-10-2012, 05:42 PM
3D-TV Content Creation: Automatic 2D-to-3D Video Conversion
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INTRODUCTION
THREE-dimensional television (3D-TV) is anticipated to
be the next step in the advancement of television. The
term “3D” in this context denotes “stereoscopic,” meaning a
two-view system is used for visualization. Stereoscopic images
that are displayed on 3D displays can increase the visual impact
and heighten the sense of presence for viewers [1].
The successful adoption of 3D-TV by the general public will
depend not only on technological advances in 3D displays [2]
and 3D-TV broadcasting systems [3], [4] but also on the availability
of a wide variety of program content in stereoscopic 3D
(S3D) format for 3D-TV services [5]. The supply of adequate
S3D content will be especially critical in the early stages of
3D-TV rollout to ensure that the public would be willing to
spend money for 3D displays and 3D-TV services.
FRAMEWORK FOR AUTOMATIC 2D-TO-3D VIDEO CONVERSION
2D-to-3D video conversion involves the generation of new
images from a single 2D image or a single stream of 2D images
(video sequence). From this perspective, 2D-to-3D video conversion
can be seen, at least conceptually, as a special case of
image-based modeling and rendering techniques developed to
provide new virtual views (view synthesis) from a given set of
images [11]. Image-based modeling and rendering techniques
can be classified into three main categories, according to the
amount of geometry information explicitly used in the process
[11]:
GENERATION OF STEREOSCOPIC IMAGES
The procedures for the generation of stereoscopic images
vary with the representations of depth information. In the
following, we address the methods that rely on both the 2D
depth maps and the sparse 3D scene structure.
CHALLENGING ISSUES
Even though much research has been done to enable automatic
2D-to-3D conversion, the techniques are still far from mature.
Most available products and methods are only successful
in certain circumstances. In addition to the limitations imposed
on each approach, the following are some key challenging issues
to be solved.
CONCLUSION
This paper summarized current technical advances related to
the development of automatic 2D-to-3D video conversion. The
underlying principle of the conversion is to horizontally shift the
pixels of an original image to generate a new version of it. To
enable this conversion, different approaches for the extraction
of depth information from monoscopic images and the generation
of stereoscopic images were reviewed. A number of challenging
issues that have to be solved for the success of automatic
2D-to-3D video conversion were pointed out as possible
research topics. With the development of more advanced techniques
for 2D-to-3D video conversion, the vast collection of 2D
material currently available will be converted into stereoscopic
3D to boost the general public interest in purchasing 3D displays
and 3D-TV services.