Laser scanner super-resolution

Authors:
Yong Joo Kil;Boris Mederos;Nina Amenta
Affiliations:
Department of Computer Science, University of California at Davis;Instituto Nacional de Matematica Pura e Aplicada;Department of Computer Science, University of California at Davis
Venue:
SPBG'06 Proceedings of the 3rd Eurographics / IEEE VGTC conference on Point-Based Graphics
Year:
2006

Citing 9
Cited 10

Improving resolution by image registration

CVGIP: Graphical Models and Image Processing
A Method for Registration of 3-D Shapes

IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A volumetric method for building complex models from range images

SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Better optical triangulation through spacetime analysis

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
New Methods for Surface Reconstruction from Range Images

New Methods for Surface Reconstruction from Range Images
Bilateral Filtering for Gray and Color Images

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Efficiently combining positions and normals for precise 3D geometry

ACM SIGGRAPH 2005 Papers
Restoration of a single superresolution image from several blurred, noisy, and undersampled measured images

IEEE Transactions on Image Processing
A fast super-resolution reconstruction algorithm for pure translational motion and common space-invariant blur

IEEE Transactions on Image Processing

Resolution Enhancement of PMD Range Maps

Proceedings of the 30th DAGM symposium on Pattern Recognition
Rotating scans for systematic error removal

SGP '09 Proceedings of the Symposium on Geometry Processing
Depth reconstruction uncertainty analysis and improvement - The dithering approach

Image and Vision Computing
A space-time depth super-resolution scheme for 3D face scanning

ACIVS'11 Proceedings of the 13th international conference on Advanced concepts for intelligent vision systems
Multi-camera 3D scanning with a non-rigid and space-time depth super-resolution capability

CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Range map superresolution-inpainting, and reconstruction from sparse data

Computer Vision and Image Understanding
Range image super-resolution via guided image filter

Proceedings of the 4th International Conference on Internet Multimedia Computing and Service
A bayesian approach to uncertainty-based depth map super resolution

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
3D Deformable Super-Resolution for Multi-Camera 3D Face Scanning

Journal of Mathematical Imaging and Vision
Towards precise real-time 3D difference detection for industrial applications

Computers in Industry

Quantified Score

Hi-index	0.00

Visualization

Abstract

We give a method for improving the resolution of surfaces captured with a laser range scanner by combining many very similar scans. This idea is an application of the 2D image processing technique known as superresolution. The input lower-resolution scans are each randomly shifted, so that each one contributes slightly different information to the final model. Noise is reduced by averaging the input scans.