Resolution Enhancement of Range Images via Color-Image Segmentation

TL;DR

This paper introduces a super-resolution method for range images that uses a single color image to enhance resolution, achieving high-quality results with large scaling factors.

Contribution

The novel approach applies a previously developed sparse-to-dense range reconstruction method to resolution enhancement, requiring only one color image alongside range data.

Findings

Effective super-resolution for large factors like 4x

High localization accuracy in enhanced images

Utilizes only one color image for resolution enhancement

Abstract

We report a method for super-resolution of range images. Our approach leverages the interpretation of LR image as sparse samples on the HR grid. Based on this interpretation, we demonstrate that our recently reported approach, which reconstructs dense range images from sparse range data by exploiting a registered colour image, can be applied for the task of resolution enhancement of range images. Our method only uses a single colour image in addition to the range observation in the super-resolution process. Using the proposed approach, we demonstrate super-resolution results for large factors (e.g. 4) with good localization accuracy.