scholarly journals The memory effect of visual perception of three-dimensional form.

1953 ◽  
Vol 45 (5) ◽  
pp. 360-368 ◽  
Author(s):  
Hans Wallach ◽  
D. N. O'Connell ◽  
Ulric Neisser
Keyword(s):  
Visual Perception ◽  
Memory Effect ◽  
Three Dimensional

Can Memory Effect Visual Perception?

2007 ◽  
Author(s):  
David Marshall ◽  
Paul Atchley
Keyword(s):  
Visual Perception ◽  
Memory Effect

scholarly journals Visual perception of the physical stability of asymmetric three-dimensional objects

2013 ◽  
Vol 13 (4) ◽  
pp. 12-12 ◽  
Author(s):  
S. A. Cholewiak ◽  
R. W. Fleming ◽  
M. Singh
Keyword(s):  
Visual Perception ◽  
Physical Stability ◽  
Three Dimensional ◽  
Three Dimensional Objects

Vision

2018 ◽  
Author(s):  
Nico Orlandi
Keyword(s):  
Visual Perception ◽  
Cognitive Science ◽  
Three Dimensional ◽  
Psychological State ◽  
Psychological Process ◽  
Two Dimensional ◽  
Vision Science ◽  
Psychological Theories ◽  
Black Surface ◽  
Obvious Manner

Why do things look to us as they do? This question, formulated by psychologist Kurt Koffka, identifies the main problematic of vision science. Consider looking at a black cat. We tend to see both the cat and its colour as the same at different times. Despite the ease with which this perception occurs, the process by which we perceive is fairly complex. The initial stimulation that gives rise to seeing, consists in a pattern of light that projects on the retina – a light-sensitive layer of the eye. The so-called ‘retinal image’ is a two-dimensional projection that does not correspond in any obvious manner to the way things look. It is not three-dimensional, coloured and shaped in a similar fashion to the objects of our experience. Indeed the light projected from objects is not just different from what we see, it is also both continuously changing and ambiguous. Because the cat moves around, the light it reflects changes from moment to moment. The cat’s projection on the retina correspondingly changes in size. We do not, however, see the cat as changing in size. We tend to see it as size-constant and uniformly coloured through time. How do we explain this constancy? Along similar lines, the cat’s white paws cause on the retina a patch of light that differs in intensity from the rest. This patch could also be caused by a change in illumination. A black surface illuminated very brightly can look like a white surface illuminated very dimly. This means that the light hitting the retina from the paws is underdetermined – it does not uniquely specify what is present. But, again, we tend to see the paws as consistently white. We do not see them as shifting from being white to being black, but illuminated brightly. How do we explain this stability? A central aim of theories of vision is to answer these questions. The science that attempts to address these queries is interdisciplinary. Traditionally, philosophical theories of vision have influenced psychological theories and vice versa. The collaboration between these disciplines eventually developed into what is now known as cognitive science. Cognitive science includes – in addition to philosophy and psychology – computer science, linguistics and neuroscience. Cognitive scientists aim primarily to understand the process by which we see. Philosophers are interested in this topic particularly as it connects to understanding the nature of our acquaintance with reality. Theories of vision differ along many dimensions. Giving a full survey is not possible in this entry. One useful difference is whether a theory presumes that visual perception involves a psychological process. Psychological theories of vision hold that in achieving perception – which is itself a psychological state – the organism uses other psychological material. Opponents of psychological theories prefer to make reference to physiological, mechanical and neurophysiological explanations.

A three-dimensional phenomenological model for shape memory alloys including two-way shape memory effect and plasticity

2019 ◽  
Vol 136 ◽  
pp. 103085 ◽  
Author(s):  
Giulia Scalet ◽  
Fabrizio Niccoli ◽  
Cedric Garion ◽  
Paolo Chiggiato ◽  
Carmine Maletta ◽  
...  
Keyword(s):  
Shape Memory Alloys ◽  
Shape Memory ◽  
Shape Memory Effect ◽  
Memory Effect ◽  
Phenomenological Model ◽  
Three Dimensional

scholarly journals Phenomenal Causality and Sensory Realism

i-Perception ◽  
2020 ◽  
Vol 11 (3) ◽  
pp. 204166952092703
Author(s):  
Kristof Meding ◽  
Sebastian A. Bruijns ◽  
Bernhard Schölkopf ◽  
Philipp Berens ◽  
Felix A. Wichmann
Keyword(s):  
Visual Perception ◽  
Three Dimensional ◽  
The Other ◽  
Two Dimensional ◽  
Perception Of Causality ◽  
Phenomenal Causality ◽  
Intuitive Physics ◽  
Three Dimensional Presentation ◽  
Cue Conflict ◽  
Motion Dynamics

One of the most important tasks for humans is the attribution of causes and effects in all wakes of life. The first systematical study of visual perception of causality—often referred to as phenomenal causality—was done by Albert Michotte using his now well-known launching events paradigm. Launching events are the seeming collision and seeming transfer of movement between two objects—abstract, featureless stimuli (“objects”) in Michotte’s original experiments. Here, we study the relation between causal ratings for launching events in Michotte’s setting and launching collisions in a photorealistically computer-rendered setting. We presented launching events with differing temporal gaps, the same launching processes with photorealistic billiard balls, as well as photorealistic billiard balls with realistic motion dynamics, that is, an initial rebound of the first ball after collision and a short sliding phase of the second ball due to momentum and friction. We found that providing the normal launching stimulus with realistic visuals led to lower causal ratings, but realistic visuals together with realistic motion dynamics evoked higher ratings. Two-dimensional versus three-dimensional presentation, on the other hand, did not affect phenomenal causality. We discuss our results in terms of intuitive physics as well as cue conflict.

Visual interpretation of known objects in constrained scenes

1992 ◽  
Vol 337 (1281) ◽  
pp. 361-370 ◽  
Keyword(s):  
Object Recognition ◽  
Visual Perception ◽  
Machine Vision ◽  
Recent Work ◽  
Three Dimensional ◽  
Neural Mechanisms ◽  
Visual Interpretation ◽  
Natural Vision ◽  
Analogue Models ◽  
Dynamic Filters

Recent work on the visual interpretation of traffic scenes is described which relies heavily on a priori knowledge of the scene and position of the cam era, and expectations about the shapes of vehicles and their likely movements in the scene. Knowledge is represented in the computer as explicit three-dimensional geometrical models, dynamic filters, and descriptions of behaviour. Model-based vision, based on reasoning with analogue models, avoids many of the classical problems in visual perception: recognition is robust against changes in the image of shape, size, colour and illumination. The three-dimensional understanding of the scene which results also deals naturally with occlusion, and allows the behaviour of vehicles to be interpreted. The experiments with machine vision raise questions about the part played by perceptual context for object recognition in natural vision, and the neural mechanisms which might serve such a role.

The Effect of Pictorial Illusion on Prehension and Perception

1998 ◽  
Vol 10 (1) ◽  
pp. 122-136 ◽  
Author(s):  
Angela M. Haffenden ◽  
Melvyn A. Goodale
Keyword(s):  
Visual Perception ◽  
Three Dimensional ◽  
Object Size ◽  
Strongly Correlated ◽  
Visually Guided ◽  
Grip Aperture ◽  
Physical Size ◽  
Disk Size ◽  
Dimensional Version ◽  
Size Contrast

The present study examined the effect of a size-contrast illusion (Ebbinghaus or Titchener Circles Illusion) on visual perception and the visual control of grasping movements. Seventeen right-handed participants picked up and, on other trials, estimated the size of fipoker-chipfl disks, which functioned as the target circles in a three-dimensional version of the illusion. In the estimation condition, subjects indicated how big they thought the target was by separating their thumb and forefinger to match the target's size. After initial viewing, no visual feedback from the hand or the target was available. Scaling of grip aperture was found to be strongly correlated with the physical size of the disks, while manual estimations of disk size were biased in the direction of the illusion. Evidently, grip aperture is calibrated to the true size of an object, even when perception of object size is distorted by a pictorial illusion, a result that is consistent with recent suggestions that visually guided prehension and visual perception are mediated by separate visual pathways.

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