In this thesis, we study the topic of ambiguity when detecting object instances in scenes with
severe clutter and occlusions. Our work focuses on the three key areas:(1) objects that have …

With seemingly little effort, humans can both identify an object across large changes in
orientation and extend category membership to novel exemplars. Although researchers …

I am also indebted to my colleague and friend Jason Taylor, who was always generous with
his time to address any questions and problems (however silly they were), while I also owe a …

The present experiments were designed to examine hemispheric differences for between-
basic category and within-category levels of object recognition. In experiment 1, participants …

Visual category learning by humans is observed within a paradigm of supervised learning.
Mental representations for recognition are reconstructed from the observed data structures …

The computer vision problem of face detection has over the years become a common high-
requirements benchmark for machine learning methods. In the last decade, highly efficient …

The general topic of my thesis is how vision science explains what we see, and how we see
it. There are two themes often found in the explanations of vision science that I focus on. The …

Physiological optics is concerned with the perceptual processes in the eye and its
associated neuronal structures in the brain. This article provides an overview of the structure …

& Mykola Chumak, The John Paul II Catholic University of Lublin, Poland n the 1970s Roger
Shepard with his colleagues initiated the research on the operation of rotating two-or three …

Recognizing a 3D object from 2D images seems easy and occurs everyday, but it is in
principle an ill-defined problem. Here we report two behavioural experiments investigating …