Automated Author ProfileAlbertazzi, Liliana
Albertazzi, Liliana
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 1.9 (sum of 7 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
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
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
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
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
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
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