Work

Which Side is the Top? A User Study to Compare Visual Assets for Component Orientation in Assembly with Augmented Reality

Year: 2025

Type: article

Source: IEEE Transactions on Visualization and Computer Graphics

DOI: 10.1109/tvcg.2025.3549164

Authors: Enricoandrea Laviola, Michele Gattullo, Sara Romano, Antonio Emmanuele Uva

Institution: Polytechnic University of Bari

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: European Commission

Award: G4184432398

OpenAlex ID: W4408223133

FWCI: 1.082

Cites: 52

Cited by: 3

Related to: 10