Automated Author Profile

Albertazzi, Liliana

Current S-Index

1.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

7

Total datasets for this author

Average FAIR Score

13.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

sj-zip-1-ipe-10.1177_2041669520950750 - Supplemental material for Cross-Modal Perceptual Organization in Works of Art

Supplemental material, sj-zip-1-ipe-10.1177_2041669520950750 for Cross-Modal Perceptual Organization in Works of Art by Liliana Albertazzi, Luisa Canal, Rocco Micciolo and Iacopo Hachen in i-Perception

Authors

  • Albertazzi, Liliana ;
  • Canal, Luisa ;
  • Micciolo, Rocco ;
  • Hachen, Iacopo
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.25384/sage.12893519January 2020

sj-xlsx-17-ipe-10.1177_2041669520950750 - Supplemental material for Cross-Modal Perceptual Organization in Works of Art

Supplemental material, sj-xlsx-17-ipe-10.1177_2041669520950750 for Cross-Modal Perceptual Organization in Works of Art by Liliana Albertazzi, Luisa Canal, Rocco Micciolo and Iacopo Hachen in i-Perception

Authors

  • Albertazzi, Liliana ;
  • Canal, Luisa ;
  • Micciolo, Rocco ;
  • Hachen, Iacopo
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.25384/sage.12893567January 2020

sj-xlsx-17-ipe-10.1177_2041669520950750 - Supplemental material for Cross-Modal Perceptual Organization in Works of Art

Supplemental material, sj-xlsx-17-ipe-10.1177_2041669520950750 for Cross-Modal Perceptual Organization in Works of Art by Liliana Albertazzi, Luisa Canal, Rocco Micciolo and Iacopo Hachen in i-Perception

Authors

  • Albertazzi, Liliana ;
  • Canal, Luisa ;
  • Micciolo, Rocco ;
  • Hachen, Iacopo
0 Citations0 Mentions13% FAIR0.1 Dataset Index
10.25384/sage.12893567.v1January 2020

sj-zip-1-ipe-10.1177_2041669520950750 - Supplemental material for Cross-Modal Perceptual Organization in Works of Art

Supplemental material, sj-zip-1-ipe-10.1177_2041669520950750 for Cross-Modal Perceptual Organization in Works of Art by Liliana Albertazzi, Luisa Canal, Rocco Micciolo and Iacopo Hachen in i-Perception

Authors

  • Albertazzi, Liliana ;
  • Canal, Luisa ;
  • Micciolo, Rocco ;
  • Hachen, Iacopo
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.25384/sage.12893519.v2January 2020

Relief Articulation Techniques

We consider techniques used in the articulation of pictorial relief. The related "cue" best known to vision science is "shading". It is discussed in terms of an inverse optics algorithm known as "shape from shading". However, the familiar techniques of the visual arts count many alternative cues for the articulation of pictorial relief. From an art technical perspective these cues are well known. Although serving a similar purpose as shading proper, they allow a much flatter value scale, making it easier to retain the picture plane, or major tonal areas. Vision research has generally ignored such methods, possibly because they lack an obvious basis in ecological optics. We attempt to rate the power of various techniques on a common "shading scale". We find that naive observers spontaneously use a variety of cues, and that several of these easily equal, or beat, conventional shading. This is of some conceptual interest to vision science, because shading has a generally acknowledged ecological basis, whereas the alternative methods lack this.

Authors

  • Koenderink, Jan ;
  • Doorn, Andrea Van ;
  • Albertazzi, Liliana ;
  • Wagemans, Johan
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1326677January 2015

Relief Articulation Techniques

We consider techniques used in the articulation of pictorial relief. The related "cue" best known to vision science is "shading". It is discussed in terms of an inverse optics algorithm known as "shape from shading". However, the familiar techniques of the visual arts count many alternative cues for the articulation of pictorial relief. From an art technical perspective these cues are well known. Although serving a similar purpose as shading proper, they allow a much flatter value scale, making it easier to retain the picture plane, or major tonal areas. Vision research has generally ignored such methods, possibly because they lack an obvious basis in ecological optics. We attempt to rate the power of various techniques on a common "shading scale". We find that naive observers spontaneously use a variety of cues, and that several of these easily equal, or beat, conventional shading. This is of some conceptual interest to vision science, because shading has a generally acknowledged ecological basis, whereas the alternative methods lack this.

Authors

  • Koenderink, Jan ;
  • Doorn, Andrea Van ;
  • Albertazzi, Liliana ;
  • Wagemans, Johan
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1326677.v1January 2015

Relief Articulation Techniques - Supplementary Figures

No description available

Authors

  • Brill Admin ;
  • Koenderink, Jan ;
  • Doorn, Andrea Van ;
  • Albertazzi, Liliana ;
  • Wagemans, Johan
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.1180111January 2014