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» Modelling perception using image processing algorithms
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CVPR
2010
IEEE
16 years 1 months ago
A Diffusion Approach to Seeded Image Segmentation
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...
Juyong Zhang, Jianmin Zheng, Jianfei Cai

Publication
138views
14 years 1 months ago
Vision Models for Image Quality Assessment: One is Not Enough
A number of image quality metrics are based on psychophysical models of the human visual system. We propose a new framework for image quality assessment, gathering three indexes de...
Roland Brémond, Jean-Philippe Tarel, Eric Dumont...

Publication
147views
14 years 1 months ago
Rain or Snow Detection in Image Sequences through use of a Histogram of Orientation of Streaks
The detection of bad weather conditions is crucial for meteorological centers, specially with demand for air, sea and ground traffic management. In this article, a system based on ...
Jérémie Bossu, Nicolas Hautière and Jean-Philip...
154
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3DIM
2007
IEEE
15 years 9 months ago
Estimating the Location of a Camera with Respect to a 3D Model
An algorithm is presented to estimate the position of a hand-held camera with respect to a 3d world model constructed from range data and color imagery. Little prior knowledge is ...
Gehua Yang, Jacob Becker, Charles V. Stewart
ECCV
2004
Springer
16 years 7 months ago
A Robust Probabilistic Estimation Framework for Parametric Image Models
Models of spatial variation in images are central to a large number of low-level computer vision problems including segmentation, registration, and 3D structure detection. Often, i...
Maneesh Kumar Singh, Himanshu Arora, Narendra Ahuj...