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» Estimating Vision Parameters given Data with Covariances
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IPMI
2009
Springer
14 years 7 months ago
Estimation of Inferential Uncertainty in Assessing Expert Segmentation Performance from STAPLE
The evaluation of the quality of segmentations of an image, and the assessment of intra- and inter-expert variability in segmentation performance, has long been recognized as a dic...
Olivier Commowick, Simon K. Warfield
IGARSS
2009
13 years 4 months ago
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models
In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV...
Lionel Bombrun, Jean-Marie Beaulieu, Gabriel Vasil...
CVPR
2005
IEEE
14 years 8 months ago
Estimating 3D Shape and Texture Using Pixel Intensity, Edges, Specular Highlights, Texture Constraints and a Prior
We present a novel algorithm aiming to estimate the 3D shape, the texture of a human face, along with the 3D pose and the light direction from a single photograph by recovering th...
Sami Romdhani, Thomas Vetter
ICPR
2004
IEEE
14 years 7 months ago
Fusion of Vision, 3D Gyro and GPS for Camera Dynamic Registration
This paper presents a novel framework of hybrid camera pose tracking system for outdoor navigation system. Traditional vision based or inertial sensor based solutions are mostly d...
Francisco Lamosa, Hanqing Lu, Keiichi Uchimura, Zh...
PAMI
2002
112views more  PAMI 2002»
13 years 6 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent