RotoTexture: automated tools for texturing raw video.
IEEE Trans Vis Comput Graph
; 12(6): 1580-9, 2006.
Article
em En
| MEDLINE
| ID: mdl-17073379
ABSTRACT
We propose a video editing system that allows a user to apply a time-coherent texture to a surface depicted in the raw video from a single uncalibrated camera, including the surface texture mapping of a texture image and the surface texture synthesis from a texture swatch. Our system avoids the construction of a 3D shape model and instead uses the recovered normal field to deform the texture so that it plausibly adheres to the undulations of the depicted surface. The texture mapping method uses the nonlinear least-squares optimization of a spring model to control the behavior of the texture image as it is deformed to match the evolving normal field through the video. The texture synthesis method uses a coarse optical flow to advect clusters of pixels corresponding to patches of similarly oriented surface points. These clusters are organized into a minimum advection tree to account for the dynamic visibility of clusters. We take a rather crude approach to normal recovering and optical flow estimation, yet the results are robust and plausible for nearly diffuse surfaces such as faces and t-shirts.
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Base de dados:
MEDLINE
Assunto principal:
Gravação em Vídeo
/
Gráficos por Computador
/
Software
/
Reconhecimento Automatizado de Padrão
/
Interpretação de Imagem Assistida por Computador
/
Aumento da Imagem
/
Fotografação
Idioma:
En
Ano de publicação:
2006
Tipo de documento:
Article