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» Creating Generative Models from Range Images
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APGV
2004
ACM
131views Visualization» more  APGV 2004»
15 years 10 months ago
Vision-realistic rendering: simulation of the scanned foveal image from wavefront data of human subjects
We introduce the concept of vision-realistic rendering – the computer generation of synthetic images that incorporate the characteristics of a particular individual’s entire o...
Brian A. Barsky
ICIP
2003
IEEE
16 years 6 months ago
Text to visual synthesis with appearance models
This paper presents a new method named text to visual synthesis with appearance models (TEVISAM) for generating videorealistic talking heads. In a first step, the system learns a ...
Javier Melenchón, Fernando De la Torre, Ign...
ECCV
2006
Springer
16 years 6 months ago
Learning Compositional Categorization Models
Abstract. This contribution proposes a compositional approach to visual object categorization of scenes. Compositions are learned from the Caltech 101 database1 intermediate abstra...
Björn Ommer, Joachim M. Buhmann
172
Voted
3DPVT
2002
IEEE
193views Visualization» more  3DPVT 2002»
15 years 10 months ago
Modeling shapes and textures from images: new frontiers
Increasingly, models of the world are directly built from images. The paper discusses a number of recent developments that try to push the enveloppe of what image-based modeling c...
Luc J. Van Gool, D. Vandemeulen, Gregor A. Kalbere...
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 11 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...