Work

ART for Art: Augmented Reality Taxonomy for Art and Cultural Heritage

Year: 2018

Type: book-chapter

Source: Springer series on cultural computing

DOI: 10.1007/978-3-319-69932-5_3

Authors: Klen Čopič Pucihar, Matjaž Kljun

Institution: University of Primorska

Language: English

Topic: Augmented Reality Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2789069135

FWCI: 3.46

Cites: 66

Cited by: 15

Related to: 10