Monocular reconstruction of shapes of natural objects from orthographic and perspective images.

Human subjects were tested in perception of shapes of 3D objects. The subjects reconstructed 3D shapes by viewing orthographic and perspective images. Perception of natural shapes was very close to veridical and was clearly better than perception of random symmetrical polyhedra.

Combining contour and region for closed boundary extraction of a shape.

This study explored human ability to extract closed boundary of a target shape in the presence of noise using spatially global operations. Specifically, we investigated the contributions of contour-based processing using line edges and region-based processing using color, as well as their interaction. Performance of the subjects was reliable when the fixation was inside the shape, and it was much less reliable when the fixation was outside.

Testing a formal theory of perception is not easy: Comments on Yu, Todd & Petrov (2021) and Yu, Petrov & Todd (2021).

Yu, Todd, and Petrov (2021, Journal of Vision) and their follow-up study (Yu, Petrov, & Todd, 2021, i-Perception) aimed at evaluating the role of three-dimensional (3D) symmetry in binocular shape perception by comparing their experimental data to predictions they derived from our computational models. We point out in this note that their predictions were incorrect, so their studies can neither reject nor support our models of 3D shape perception. We explain (1) the role of the data and the constraints in solving ill-posed inverse problems, (2) the role of binocular depth-order, as opposed to binocular depth-intervals in shape perception, (3) the nature and the effect of 3D compactness as an a priori constraint, and (4) the implications of the separation of binocular disparity and stereoacuity in the two functional streams in the visual cortex.

The Concept of Symmetry and the Theory of Perception.

Perceptual constancy refers to the fact that the perceived geometrical and physical characteristics of objects remain constant despite transformations of the objects such as rigid motion. Perceptual constancy is essential in everything we do, like recognition of familiar objects and scenes, planning and executing visual navigation, visuomotor coordination, and many more. Perceptual constancy would not exist without the geometrical and physical permanence of objects: their shape, size, and weight.

When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving.

A problem is a situation in which an agent seeks to attain a given goal without knowing how to achieve it. Human problem solving is typically studied as a search in a problem space composed of states (information about the environment) and operators (to move between states). A problem such as playing a game of chess has possible states, and a traveling salesperson problem with as little as 82 cities already has more than different tours (similar to chess).