PerceptualLift: Using hatches to infer a 3D organic shape from a sketch

Abstract
In this work, we investigate whether artistic hatching, popular in pen-and-ink sketches, can be consistently perceived as a depth cue. We illustrate our results by presenting PerceptualLift, a modeling system that exploits hatching to create curved 3D shapes from a single sketch. We first describe a perceptual user study conducted across a diverse group of participants, which confirms the relevance of hatches as consistent clues for inferring curvature in the depth direction from a sketch. It enables us to extract geometrical rules that link 2D hatch characteristics, such as their direction, frequency, and magnitude, to the changes of depth in the depicted 3D shape. Built on these rules, we introduce PerceptualLift, a flexible tool to model 3D organic shapes by simply hatching over 2D hand-drawn contour sketches.
Description

CCS Concepts: Computing methodologies → Shape modeling; Human-centered computing → Interactive systems and tools

        
@inproceedings{
10.2312:exw.20251055
, booktitle = {
ACM/EG Expressive Symposium - WICED: Eurographics Workshop on Intelligent Cinematography and Editing
}, editor = {
Catalano, Chiara Eva
and
Parakkat, Amal Dev
}, title = {{
PerceptualLift: Using hatches to infer a 3D organic shape from a sketch
}}, author = {
Butler, Tara
and
Guehl, Pascal
and
Parakkat, Amal Dev
and
Cani, Marie-Paule
}, year = {
2025
}, publisher = {
The Eurographics Association
}, ISBN = {
978-3-03868-271-4
}, DOI = {
10.2312/exw.20251055
} }
Citation