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» Deriving Intrinsic Images from Image Sequences
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CVPR
2005
IEEE
16 years 8 months ago
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing ...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, No...
ICPR
2004
IEEE
16 years 7 months ago
Text Detection from Natural Scene Images: Towards a System for Visually Impaired Persons
We propose a system that reads the text encountered in natural scenes with the aim to provide assistance to the visually impaired persons. This paper describes the system design a...
Nobuo Ezaki, Marius Bulacu, Lambert Schomaker
ECCV
2006
Springer
15 years 10 months ago
Wavelet-Based Super-Resolution Reconstruction: Theory and Algorithm
We present an analysis and algorithm for the problem of super-resolution imaging, that is the reconstruction of HR (high-resolution) images from a sequence of LR (lowresolution) im...
Hui Ji, Cornelia Fermüller
ACCV
2009
Springer
16 years 1 months ago
Weighted Map for Reflectance and Shading Separation Using a Single Image
In real world, a scene is composed by many characteristics. Intrinsic images represent these characteristics by two components, reflectance (the albedo of each point) and shading (...
Sung-Hsien Hsieh, Chih-Wei Fang, Te-Hsun Wang, Chi...
ECCV
1998
Springer
16 years 8 months ago
From Reference Frames to Reference Planes: Multi-View Parallax Geometry and Applications
Abstract. This paper presents a new framework for analyzing the geometry of multiple 3D scene points from multiple uncalibrated images, based on decomposing the projection of these...
Michal Irani, P. Anandan, Daphna Weinshall