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Eli Peli

Researcher at Massachusetts Eye and Ear Infirmary

Publications -  371
Citations -  10285

Eli Peli is an academic researcher from Massachusetts Eye and Ear Infirmary. The author has contributed to research in topics: Visual field & Image processing. The author has an hindex of 48, co-authored 364 publications receiving 9619 citations. Previous affiliations of Eli Peli include Tufts University & Tufts Medical Center.

Papers
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Journal ArticleDOI

Using pattern classification to measure adaptation to the orientation of high order aberrations.

TL;DR: The consistent bias of the Positive PSFs towards the natural PSF in most subjects indicates that the internal code of blur appears rather specific to each subject's high order aberrations and reveals that the calibration mechanisms for normalizing blur also operate using orientation cues.
Proceedings ArticleDOI

Statistical analysis of subjective preferences for video enhancement

TL;DR: It is demonstrated that binary logistic regression can analyze preferences for enhanced video and produce an outcome similar to Thurstone scaling.
Journal Article

Visually impaired observers require a larger window than normally sighted observers to read from a scroll display.

TL;DR: Visually impaired and normally sighted observers were asked to read either sentences or random words scrolled across a computer screen and required a significantly larger window than did the NA group, which has not been previously reported.
Journal ArticleDOI

Hazard detection with a monocular bioptic telescope

TL;DR: This study evaluates whether bioptic users can use the fellow eye to detect in hazards driving videos that fall in the ring scotoma area.
Journal ArticleDOI

Psychometric functions for detection and discrimination with and without flankers

TL;DR: The results confirm that lower detection thresholds with flankers are accompanied by broader psychometric functions, and show that different models of flanker facilitation can fit the data equally well, which stresses that succeeding at fitting a model does not validate it in any sense.