Articolo in rivista, 2020, ENG, 10.1111/cgf.13664

Effective annotations over 3D models

Ponchio F.; Callieri M.; Dellepiane M.; Scopigno R.

CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy;

Annotation support in interactive systems is often considered a simple task by the CG community, since it entails the apparently easy selection of a region and its connection with some information. The reality appears more complex. The scope of this paper is twofold: first, to review the status of this domain, discussing and characterizing several approaches proposed in literature to manage annotations over geometric models; second, to present in detail an innovative solution proposed and assessed in the framework of Cultural Heritage (CH) applications, called ClippingVolumes. At the annotation definition stage ClippingVolumes uses 3D data to characterize the annotation region; subsequently, annotations are visualized by adopting a two-pass rendering solution which uses stencil buffers, thus without introducing new geometric elements, changing the topology or duplicating geometry elements. It solves most of the issues that afflict the current state of the art, such as fragmentation, annotation transfer to multiple representations, and multi-resolution data encoding. The latter is a mandatory requirement to produce efficient web-based systems. We implemented and we fully tested this approach in the framework of a complex system that supports the documentation of CH restoration projects.

Computer graphics forum (Online) 39 (1), pp. 89–105

Keywords

Annotation models, 3d clipping, Volume region

CNR authors

Callieri Marco, Ponchio Federico, Dellepiane Matteo, Scopigno Roberto

CNR institutes

ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"

ID: 403990

Year: 2020

Type: Articolo in rivista

Creation: 2019-07-02 10:11:55.000

Last update: 2020-09-30 10:29:36.000

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:403990

DOI: 10.1111/cgf.13664

Scopus: 2-s2.0-85065971683

ISI Web of Science (WOS): 000519969500008