Improving resolution by image registration
CVGIP: Graphical Models and Image Processing
Markov random field modeling in computer vision
Markov random field modeling in computer vision
An Experimental Comparison of Range Image Segmentation Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Fast Approximate Energy Minimization via Graph Cuts
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mean Shift: A Robust Approach Toward Feature Space Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Super-Resolution Imaging
A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
International Journal of Computer Vision
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
A Statistical Method for Robust 3D Surface Reconstruction from Sparse Data
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Efficient Model Creation of Large Structures based on Range Segmentation
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Registration of Range and Color Images Using Gradient Constraints and Range Intensity Images
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
A review of recent range image registration methods with accuracy evaluation
Image and Vision Computing
New methods and tools for three-dimensional modeling of large scale outdoor scenes using range and color images
Maximum-Likelihood Registration of Range Images with Missing Data
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inter-Image Statistics for 3D Environment Modeling
International Journal of Computer Vision
Resolution Enhancement of PMD Range Maps
Proceedings of the 30th DAGM symposium on Pattern Recognition
Fusion of stereo vision and Time-Of-Flight imaging for improved 3D estimation
International Journal of Intelligent Systems Technologies and Applications
Range Map with Missing Data - Joint Resolution Enhancement and Inpainting
ICVGIP '08 Proceedings of the 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing
Inpainting Large Missing Regions in Range Images
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
3D shape from anisotropic diffusion
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
High-accuracy stereo depth maps using structured light
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Joint tof image denoising and registration with a CT surface in radiation therapy
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Bayesian approach to image expansion for improved definition
IEEE Transactions on Image Processing
High quality depth map upsampling for 3D-TOF cameras
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Laser scanner super-resolution
SPBG'06 Proceedings of the 3rd Eurographics / IEEE VGTC conference on Point-Based Graphics
A flexible architecture for multi-view 3DTV based on uncalibrated cameras
Journal of Visual Communication and Image Representation
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Range images often suffer from issues such as low resolution (LR) (for low-cost scanners) and presence of missing regions due to poor reflectivity, and occlusions. Another common problem (with high quality scanners) is that of long acquisition times. In this work, we propose two approaches to counter these shortcomings. Our first proposal which addresses the issues of low resolution as well as missing regions, is an integrated super-resolution (SR) and inpainting approach. We use multiple relatively-shifted LR range images, where the motion between the LR images serves as a cue for super-resolution. Our imaging model also accounts for missing regions to enable inpainting. Our framework models the high resolution (HR) range as a Markov random field (MRF), and uses inhomogeneous MRF priors to constrain the solution differently for inpainting and super-resolution. Our super-resolved and inpainted outputs show significant improvements over their LR/interpolated counterparts. Our second proposal addresses the issue of long acquisition times by facilitating reconstruction of range data from very sparse measurements. Our technique exploits a cue from segmentation of an optical image of the same scene, which constrains pixels in the same color segment to have similar range values. Our approach is able to reconstruct range images with as little as 10% data. We also study the performance of both the proposed approaches in a noisy scenario as well as in the presence of alignment errors.