4 research outputs found
Novel Methods and Algorithms for Presenting 3D Scenes
In recent years, improvements in the acquisition and creation of 3D models gave rise to
an increasing availability of 3D content and to a widening of the audience such content
is created for, which brought into focus the need for effective ways to visualize and
interact with it.
Until recently, the task of virtual inspection of a 3D object or navigation inside a 3D
scene was carried out by using human machine interaction (HMI) metaphors controlled
through mouse and keyboard events.
However, this interaction approach may be cumbersome for the general audience.
Furthermore, the inception and spread of touch-based mobile devices, such as smartphones
and tablets, redefined the interaction problem entirely, since neither mouse nor
keyboards are available anymore. The problem is made even worse by the fact that these
devices are typically lower power if compared to desktop machines, while high-quality
rendering is a computationally intensive task.
In this thesis, we present a series of novel methods for the easy presentation of 3D
content both when it is already available in a digitized form and when it must be acquired
from the real world by image-based techniques. In the first case, we propose
a method which takes as input the 3D scene of interest and an example video, and it
automatically produces a video of the input scene that resembles the given video example.
In other words, our algorithm allows the user to replicate an existing video, for
example, a video created by a professional animator, on a different 3D scene.
In the context of image-based techniques, exploiting the inherent spatial organization
of photographs taken for the 3D reconstruction of a scene, we propose an intuitive
interface for the smooth stereoscopic navigation of the acquired scene providing an immersive
experience without the need of a complete 3D reconstruction.
Finally, we propose an interactive framework for improving low-quality 3D reconstructions
obtained through image-based reconstruction algorithms. Using few strokes on
the input images, the user can specify high-level geometric hints to improve incomplete
or noisy reconstructions which are caused by various quite common conditions
often arising for objects such as buildings, streets and numerous other human-made
functional elements
Towards Better Methods of Stereoscopic 3D Media Adjustment and Stylization
Stereoscopic 3D (S3D) media is pervasive in film, photography and art. However, working with
S3D media poses a number of interesting challenges arising from capture and editing. In this thesis
we address several of these challenges. In particular, we address disparity adjustment and present
a layer-based method that can reduce disparity without distorting the scene. Our method was
successfully used to repair several images for the 2014 documentary âSoldiersâ Storiesâ directed by
Jonathan Kitzen. We then explore consistent and comfortable methods for stylizing stereo images.
Our approach uses a modified version of the layer-based technique used for disparity adjustment
and can be used with a variety of stylization filters, including those in Adobe Photoshop. We
also present a disparity-aware painterly rendering algorithm. A user study concluded that our
layer-based stylization method produced S3D images that were more comfortable than previous
methods. Finally, we address S3D line drawing from S3D photographs. Line drawing is a common
art style that our layer-based method is not able to reproduce. To improve the depth perception of
our line drawings we optionally add stylized shading. An expert survey concluded that our results
were comfortable and reproduced a sense of depth