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» Minimal solutions for generic imaging models
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CVPR
2008
IEEE
14 years 9 months ago
Minimal solutions for generic imaging models
A generic imaging model refers to a non-parametric camera model where every camera is treated as a set of unconstrained projection rays. Calibration would simply be a method to ma...
Srikumar Ramalingam, Peter F. Sturm
3DIM
2011
IEEE
12 years 7 months ago
Toward Automatic 3D Generic Object Modeling from One Single Image
We present a novel method for solving the challenging problem of generating 3D models of generic object categories from just one single un-calibrated image. Our method leverages t...
Min Sun, Shyam Sunder Kumar, Gary R. Bradski, Silv...
ACCV
1998
Springer
13 years 11 months ago
VR Models from Epipolar Images: An Approach to Minimize Errors in Synthesized Images
A new paradigm, the minimization of errors in synthesized images, is introduced to organically combine Computer Vision and Computer Graphics for Virtual Reality applications. Based...
Mikio Shinya, Takafumi Saito, Takeaki Mori, Noriyo...
SCALESPACE
2009
Springer
14 years 1 months ago
Generic Scene Recovery Using Multiple Images
In this paper, a generative model based method for recovering both the shape and the reflectance of the surface(s) of a scene from multiple images is presented, assuming that illu...
Kuk-Jin Yoon, Emmanuel Prados, Peter F. Sturm
SCALESPACE
2007
Springer
14 years 1 months ago
Fuzzy Region Competition: A Convex Two-Phase Segmentation Framework
This paper introduces a new framework for two-phase image segmentation, namely the Fuzzy Region Competition. A generic formulation is developed that extends in a convex way several...
Benoit Mory, Roberto Ardon