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ECCV
2002
Springer
1127views Computer Vision» more  ECCV 2002»
16 years 9 months ago
Removing Shadows from Images
Illumination conditions cause problems for many computer vision algorithms. Inparticular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. I...
Graham D. Finlayson, Steven D. Hordley, Mark S. Dr...
ECCV
2002
Springer
16 years 9 months ago
Transitions of the 3D Medial Axis under a One-Parameter Family of Deformations
The instabilities of the medial axis of a shape under deformations have long been recognized as a major obstacle to its use in recognition and other applications. These instabilit...
Peter J. Giblin, Benjamin B. Kimia
ECCV
2002
Springer
16 years 9 months ago
What Can Be Known about the Radiometric Response from Images?
Abstract. Brightness values of pixels in an image are related to image irradiance by a non-linear function, called the radiometric response function. Recovery of this function is i...
Michael D. Grossberg, Shree K. Nayar
ECCV
2002
Springer
16 years 9 months ago
Assorted Pixels: Multi-sampled Imaging with Structural Models
Abstract. Multi-sampled imaging is a general framework for using pixels on an image detector to simultaneously sample multiple dimensions of imaging (space, time, spectrum, brightn...
Shree K. Nayar, Srinivasa G. Narasimhan
ECCV
2002
Springer
16 years 9 months ago
Hyperdynamics Importance Sampling
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Cristian Sminchisescu, Bill Triggs
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