RecolorCloud: A Point Cloud Tool for Recoloring, Segmentation, and Conversion

TL;DR

RecolorCloud is a tool that automatically corrects color errors in 3D point clouds, improving visual realism and enabling quick recoloring with semantic labels using minimal user input.

Contribution

It introduces an automated recoloring method for point clouds that handles color conflicts and outliers with simple bounding box specifications, enhancing existing visualization workflows.

Findings

Significant improvement in photo-realistic quality of large point clouds

Effective automatic removal and recoloring of outlier points

Fast recoloring with semantic segmentation colors

Abstract

Point clouds are a 3D space representation of an environment that was recorded with a high precision laser scanner. These scanners can suffer from environmental interference such as surface shading, texturing, and reflections. Because of this, point clouds may be contaminated with fake or incorrect colors. Current open source or proprietary tools offer limited or no access to correcting these visual errors automatically. RecolorCloud is a tool developed to resolve these color conflicts by utilizing automated color recoloring. We offer the ability to deleting or recoloring outlier points automatically with users only needing to specify bounding box regions to effect colors. Results show a vast improvement of the photo-realistic quality of large point clouds. Additionally, users can quickly recolor a point cloud with set semantic segmentation colors.