# User-guided free-form asset modelling

**Authors:** Daniel Beale

arXiv: 1701.05754 · 2017-01-23

## TL;DR

This paper introduces a user-guided system for reconstructing piecewise primitive surfaces from point clouds, allowing novices to sketch areas to improve fitting, especially for occluded or complex shapes.

## Contribution

It presents a novel system that enhances surface recovery by integrating user sketches, improving visual quality and hole filling over existing autonomous methods.

## Key findings

- Outperforms benchmark autonomous surface fitting in visual quality.
- Effectively fills large holes on occluded surfaces using free-form input.
- Demonstrates improvement over existing user-guided surface recovery methods.

## Abstract

In this paper a new system for piecewise primitive surface recovery on point clouds is presented, which allows a novice user to sketch areas of interest in order to guide the fitting process. The algorithm is demonstrated against a benchmark technique for autonomous surface fitting, and, contrasted against existing literature in user guided surface recovery, with empirical evidence. It is concluded that the system is an improvement to the current documented literature for its visual quality when modelling objects which are composed of piecewise primitive shapes, and, in its ability to fill large holes on occluded surfaces using free-form input.

## Full text

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## Figures

15 figures with captions in the complete paper: https://tomesphere.com/paper/1701.05754/full.md

## References

45 references — full list in the complete paper: https://tomesphere.com/paper/1701.05754/full.md

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Source: https://tomesphere.com/paper/1701.05754