Robot vision
Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Estimation of Illuminant Direction, Albedo, and Shape from Shading
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved resolution from subpixel shifted pictures
CVGIP: Graphical Models and Image Processing
Default shape theory: with application to the computation of the direction of the light source
CVGIP: Image Understanding
Sub-pixel Bayesian estimation of albedo and height
International Journal of Computer Vision
Recursive estimation of illuminant motion from flow field and simultaneous recovery of shape
Computer Vision and Image Understanding
Point Light Source Estimation from Two Images and Its Limits
International Journal of Computer Vision
An MRF-Based Approach to Generation of Super-Resolution Images from Blurred Observations
Journal of Mathematical Imaging and Vision
Example-Based Super-Resolution
IEEE Computer Graphics and Applications
Increasing Space-Time Resolution in Video
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
3D super-resolution using generalized sampling expansion
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fundamental Limits of Reconstruction-Based Superresolution Algorithms under Local Translation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Calibration and Light Source Estimation from Images with Shadows
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
The plenoptic illumination function
IEEE Transactions on Multimedia
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Superresolution restoration of an image sequence: adaptive filtering approach
IEEE Transactions on Image Processing
A computationally efficient superresolution image reconstruction algorithm
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
A Bayesian approach to image expansion for improved definition
IEEE Transactions on Image Processing
Super-resolution still and video reconstruction from MPEG-coded video
IEEE Transactions on Circuits and Systems for Video Technology
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We present a super-resolution technique where the 3-D shape preservation is used as a constraint while super-resolving a scene. Given the observations under different illuminant positions, we combine these observations to obtain the super-resolved image and the spatially enhanced scene structure simultaneously. The use of shape cue in the form of photometric measurements, instead of the motion cue, eliminates the need for image registration with a sub-pixel accuracy. We model the high-resolution image, the structure, and the albedo of the surface as separate Markov random fields and super-resolve them using a suitable regularization scheme. Results of the experimentation on real data are presented.