Matteo Toscani

Dr. Matteo Toscani


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2015 in Current Biology
Verified
Journal Article
Closed access
KGKarl R. Gegenfurtner
Karl R. Gegenfurtner
MBMarina Bloj
Marina Bloj
MTMatteo Toscani
Matteo Toscani

1 January 2012 in Acta Psychologica
Verified
Journal Article
Closed access
SRStefania Righi
Stefania Righi
TMT. Marzi
T. Marzi
MTMatteo Toscani
Matteo Toscani
SBS. Baldassi
S. Baldassi
SOS. Ottonello
S. Ottonello
MVM.P. Viggiano
M.P. Viggiano

17 June 2013 in Proceedings of the National Academy of Sciences
Verified
Journal Article
Open access
PDF file
MTMatteo Toscani
Matteo Toscani
MVMatteo Valsecchi
Matteo Valsecchi
KGKarl R. Gegenfurtner
Karl R. Gegenfurtner
The variable resolution and limited processing capacity of the human visual system requires us to sample the world with eye movements and attentive processes. Here we show that where observers look can strongly modulate their reports of simple surface attributes, such as lightness. When observers matched the color of natural objects they based their judgments on the brightest parts of the objects; at the same time, they tended to fixate points with above-average luminance. When we forced participants to fixate a specific point on the object using a gaze-contingent display setup, the matched lightness was higher when observers fixated bright regions. This finding indicates a causal link between the luminance of the fixated region and the lightness match for the whole object. Simulations with rendered physical lighting show that higher values in an object’s luminance distribution are particularly informative about reflectance. This sampling strategy is an efficient and simple heuristic for the visual system to achieve accurate and invariant judgments of lightness.

24 October 2010 in Experimental Brain Research
Verified
Journal Article
Closed access
PDF file
MTMatteo Toscani
Matteo Toscani
TMTessa Marzi
Tessa Marzi
SRStefania Righi
Stefania Righi
MVMaria Pia Viggiano
Maria Pia Viggiano
SBStefano Baldassi
Stefano Baldassi

1 October 2015 in Vision Research
Verified
Journal Article
Closed access
CWChristiane B. Wiebel
Christiane B. Wiebel
MTMatteo Toscani
Matteo Toscani
KGKarl R. Gegenfurtner
Karl R. Gegenfurtner

27 October 2021 in SN Computer Science
Verified
Journal Article
Open access
PDF file
RRRaquel Gil Rodriguez
Raquel Gil Rodriguez
FBFlorian Bayer
Florian Bayer
MTMatteo Toscani
Matteo Toscani
DGDar’yA Guarnera
Dar’yA Guarnera
GGGiuseppe Claudio Guarnera
Giuseppe Claudio Guarnera
KGKarl R. Gegenfurtner
Karl R. Gegenfurtner
Virtual reality (VR) technology offers vision researchers the opportunity to conduct immersive studies in simulated real-world scenes. However, an accurate colour calibration of the VR head mounted display (HMD), both in terms of luminance and chromaticity, is required to precisely control the presented stimuli. Such a calibration presents significant new challenges, for example, due to the large field of view of the HMD, or the software implementation used for scene rendering, which might alter the colour appearance of objects. Here, we propose a framework for calibrating an HMD using an imaging colorimeter, the I29 (Radiant Vision Systems, Redmond, WA, USA). We examine two scenarios, both with and without using a rendering software for visualisation. In addition, we present a colour constancy experiment design for VR through a gaming engine software, Unreal Engine 4. The colours of the objects of study are chosen according to the previously defined calibration. Results show a high-colour constancy performance among participants, in agreement with recent studies performed on real-world scenarios. Our studies show that our methodology allows us to control and measure the colours presented in the HMD, effectively enabling the use of VR technology for colour vision research.