Add to ORKGWe 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 super-resolution. 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
Purpose: Medical imaging systems are used to scan patients to obtain valuable information for dise...
In the last few decades, forensic science has played a significant role in bringing criminals to jus...
A brief introduction to spatial-domain Super-Resolution methods, i.e. spatial resolution enhancement...
We give a method for improving the resolution of surfaces captured with a laser range scanner by com...
International audience3D scanners provide a virtual representation of object surfaces at some given ...
This proof of concept paper evaluates the performance of super-resolution (SR) imaging when combinin...
A brief introduction to spatial-domain Super-Resolution methods, i.e. spatial resolution enhancement...
In digital image correlation, an optical full-field analysis method that can determine displacements ...
Laser scanner point cloud has been emerging in Photogrammetry and computer vision to achieve high le...
In this paper, a single-frame super resolution method is proposed to infer a high-resolution laser s...
It is well known that the registration process is a key step for super-resolution reconstruction. In...
This paper presents a method to predict the limit of possible resolution enhancement given a sequenc...
With the availability of large quantities of relatively low-resolution data from several decades of ...
Super resolution reconstruction is an important branch of image processing that extracting high reso...
In this study, a novel single image super-resolution (SR) method, which uses a generated dictionary ...
Purpose: Medical imaging systems are used to scan patients to obtain valuable information for dise...
In the last few decades, forensic science has played a significant role in bringing criminals to jus...
A brief introduction to spatial-domain Super-Resolution methods, i.e. spatial resolution enhancement...
We give a method for improving the resolution of surfaces captured with a laser range scanner by com...
International audience3D scanners provide a virtual representation of object surfaces at some given ...
This proof of concept paper evaluates the performance of super-resolution (SR) imaging when combinin...
A brief introduction to spatial-domain Super-Resolution methods, i.e. spatial resolution enhancement...
In digital image correlation, an optical full-field analysis method that can determine displacements ...
Laser scanner point cloud has been emerging in Photogrammetry and computer vision to achieve high le...
In this paper, a single-frame super resolution method is proposed to infer a high-resolution laser s...
It is well known that the registration process is a key step for super-resolution reconstruction. In...
This paper presents a method to predict the limit of possible resolution enhancement given a sequenc...
With the availability of large quantities of relatively low-resolution data from several decades of ...
Super resolution reconstruction is an important branch of image processing that extracting high reso...
In this study, a novel single image super-resolution (SR) method, which uses a generated dictionary ...
Purpose: Medical imaging systems are used to scan patients to obtain valuable information for dise...
In the last few decades, forensic science has played a significant role in bringing criminals to jus...
A brief introduction to spatial-domain Super-Resolution methods, i.e. spatial resolution enhancement...