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» Uncertain Geometry in Computer Vision
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ICCV
2003
IEEE
14 years 10 months ago
A Class of Photometric Invariants: Separating Material from Shape and Illumination
We derive a new class of photometric invariants that can be used for a variety of vision tasks including lighting invariant material segmentation, change detection and tracking, a...
Srinivasa G. Narasimhan, Visvanathan Ramesh, Shree...
ECCV
2002
Springer
14 years 10 months ago
All the Images of an Outdoor Scene
The appearance of an outdoor scene depends on a variety of factors such as viewing geometry, scene structure and reflectance (BRDF or BTF), illumination (sun, moon, stars, street l...
Srinivasa G. Narasimhan, Chi Wang, Shree K. Nayar
NIPS
2008
13 years 10 months ago
Non-parametric Regression Between Manifolds
This paper discusses non-parametric regression between Riemannian manifolds. This learning problem arises frequently in many application areas ranging from signal processing, comp...
Florian Steinke, Matthias Hein
CVPR
2008
IEEE
14 years 2 months ago
Recovering Shape Characteristics on Near-flat Specular Surfaces
We consider the problem of capturing shape characteristics on specular (refractive and reflective) surfaces that are nearly flat. These surfaces are difficult to model using tradit...
Yuanyuan Ding and Jingyi Yu
ICCV
2009
IEEE
1052views Computer Vision» more  ICCV 2009»
15 years 1 months ago
A direct approach for efficiently tracking with 3D Morphable Models
We present an efficient algorithm for fitting a morphable model to an image sequence. It is built on a projective geometry formulation of perspective projection, which results in a...
Enrique Muñoz, José M. Buenaposada, Luis Baumela