I apply this approach to three projects in particular. The ”photomontage” system is an interactive
tool that partially automates the process of combining the best features of a stack of images.
The interface encourages the user to consider the input stack of images as a single entity, pieces
of which exhibit the user’s desired interpretation of the scene. The user authors a composite image
(photomontage) from the input stack by specifying high-level objectives it should exhibit, either
globally or locally through a painting interface. I describe an algorithm that then constructs a depiction
from pieces of the input images by maximizing the user-specified objectives while also minimizing
visual artifacts. In the next project, I extend the photomontage approach to handle sequences
of photographs captured from shifted viewpoints. The output is a multi-viewpoint panorama thatis particularly useful for depicting scenes too long to effectively image with the single-viewpoint
perspective of a traditional camera. In the final project, I extend my approach to video sequences.
I introduce the “panoramic video texture”, which is a video with a wide field of view that appears
to play continuously and indefinitely. The result is a new medium that combines the benefits of
panoramic photography and video to provide a more immersive depiction of a scene. The key challenge
in this project is that panoramic video textures are created from the input of a single video
camera that slowly pans across the scene; thus, although only a portion of the scene has been imaged
at any given time, the output must simultaneously portray motion throughout the scene. Throughout
this thesis, I demonstrate how these novel techniques can be used to create expressive visual media
that effectively depicts the world around us.
Aseem Agarwala. "Authoring effective depictions of reality by combining multiple samples of the plenoptic function", Doctoral thesis, University of Washington, 2006.
2006 ACM Doctoral Dissertation Award, Honorable Mention
2006 William Chan Memorial Dissertation Award
David Salesin, Michael Cohen, Steven Seitz
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