scholarly journals Visual shape perception as Bayesian inference of 3D object-centered shape representations.

2017 ◽  
Vol 124 (6) ◽  
pp. 740-761 ◽  
Author(s):  
Goker Erdogan ◽  
Robert A. Jacobs
Keyword(s):  
Bayesian Inference ◽  
Shape Perception ◽  
Shape Representations ◽  
3D Object ◽  
Visual Shape

scholarly journals Symmetry in haptic and in visual shape perception

1998 ◽  
Vol 60 (3) ◽  
pp. 389-404 ◽  
Author(s):  
Soledad Ballesteros ◽  
Susanna Millar ◽  
José M. Reales
Keyword(s):  
Shape Perception ◽  
Visual Shape

scholarly journals Visual shape perception in the case of transparent objects

2019 ◽  
Vol 19 (4) ◽  
pp. 24 ◽  
Author(s):  
Nick Schlüter ◽  
Franz Faul
Keyword(s):  
Shape Perception ◽  
Transparent Objects ◽  
Visual Shape

scholarly journals TheVeiled Virginillustrates visual segmentation of shape by cause

2020 ◽  
Vol 117 (21) ◽  
pp. 11735-11743 ◽  
Author(s):  
Flip Phillips ◽  
Roland W. Fleming
Keyword(s):  
Three Dimensional ◽  
Ground Truth ◽  
Shape Perception ◽  
Surface Layers ◽  
Making Sense ◽  
Complex Interactions ◽  
Marble Sculptures ◽  
Visual Segmentation ◽  
3D Shape Perception ◽  
Visual Shape

Three-dimensional (3D) shape perception is one of the most important functions of vision. It is crucial for many tasks, from object recognition to tool use, and yet how the brain represents shape remains poorly understood. Most theories focus on purely geometrical computations (e.g., estimating depths, curvatures, symmetries). Here, however, we find that shape perception also involves sophisticated inferences that parse shapes into features with distinct causal origins. Inspired by marble sculptures such as Strazza’sThe Veiled Virgin(1850), which vividly depict figures swathed in cloth, we created composite shapes by wrapping unfamiliar forms in textile, so that the observable surface relief was the result of complex interactions between the underlying object and overlying fabric. Making sense of such structures requires segmenting the shape based on their causes, to distinguish whether lumps and ridges are due to the shrouded object or to the ripples and folds of the overlying cloth. Three-dimensional scans of the objects with and without the textile provided ground-truth measures of the true physical surface reliefs, against which observers’ judgments could be compared. In a virtual painting task, participants indicated which surface ridges appeared to be caused by the hidden object and which were due to the drapery. In another experiment, participants indicated the perceived depth profile of both surface layers. Their responses reveal that they can robustly distinguish features belonging to the textile from those due to the underlying object. Together, these findings reveal the operation of visual shape-segmentation processes that parse shapes based on their causal origin.

scholarly journals A surface-based code contributes to visual shape perception

2019 ◽  
Vol 19 (11) ◽  
pp. 6
Author(s):  
Martin Arguin ◽  
Ian Marleau ◽  
Mercédès Aubin ◽  
Sacha Zahabi ◽  
E. Charles Leek
Keyword(s):  
Shape Perception ◽  
Visual Shape
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