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AVSS
2006
IEEE
15 years 10 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
MICCAI
2002
Springer
16 years 7 months ago
RBF-Based Representation of Volumetric Data: Application in Visualization and Segmentation
A new scheme of data-driven segmentation is proposed, which is based on detection of object boundary, and volumetric pattern reconstruction as implicit function by using the detect...
Yoshitaka Masutani
COSIT
2001
Springer
129views GIS» more  COSIT 2001»
15 years 11 months ago
What's in an Image?
This paper discusses the ontological status of remote sensing images, from a GIScience perspective. We argue that images have a dual nature—they are fields at the measurement lev...
Gilberto Câmara, Max J. Egenhofer, Frederico...
ICIP
2007
IEEE
16 years 25 days ago
Modeling vs. Segmenting Images Using A Probabilistic Approach
Image segmentation is conventionally formulated as a pixellabeling problem, in which “hard” decisions have to be made to partition pixels into regions. As image segmentation i...
Datong Chen
ICCV
2003
IEEE
15 years 11 months ago
What Does Motion Reveal About Transparency?
The perception of transparent objects from images is known to be a very hard problem in vision. Given a single image, it is difficult to even detect the presence of transparent o...
Moshe Ben-Ezra, Shree K. Nayar