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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Free-viewing (2)
- Aperture problem (1)
- Bayesian model (1)
- Benchmarking (1)
- Binocular vision (1)
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- Deep learning (1)
- Feature selection (1)
- Fixations (1)
- Fuzzy logic (1)
- Image segmentation (1)
- Information theory (1)
- Liquids (1)
- Material perception (1)
- Metacognition (1)
- Model comparison (1)
- Motion perception (1)
- Multinomial modeling (1)
- Perceptual organization (1)
- Saliency (1)
- Scanpaths (1)
- Scene perception (1)
- Signal detection theory (1)
- Spatial-taxon (1)
- Visual taxometrics (1)
Articles 1 - 6 of 6
Full-Text Articles in Social and Behavioral Sciences
Evaluating Models Of Scanpath Prediction, Matthias Kümmerer, Matthias Bethge
Evaluating Models Of Scanpath Prediction, Matthias Kümmerer, Matthias Bethge
MODVIS Workshop
No abstract provided.
Selecting Maximally-Predictive Deep Features To Explain What Drives Fixations In Free-Viewing, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge
Selecting Maximally-Predictive Deep Features To Explain What Drives Fixations In Free-Viewing, Matthias Kümmerer, Thomas S.A. Wallis, Matthias Bethge
MODVIS Workshop
No abstract provided.
Shape Features Underlying The Perception Of Liquids, Jan Jaap R. Van Assen, Pascal Barla, Roland W. Fleming
Shape Features Underlying The Perception Of Liquids, Jan Jaap R. Van Assen, Pascal Barla, Roland W. Fleming
MODVIS Workshop
No abstract provided.
Image Segmentation Using Fuzzy-Spatial Taxon Cut, Lauren Barghout
Image Segmentation Using Fuzzy-Spatial Taxon Cut, Lauren Barghout
MODVIS Workshop
Images convey multiple meanings that depend on the context in which the viewer perceptually organizes the scene. This presents a problem for automated image segmentation, because it adds uncertainty to the process of selecting which objects to include or not include within a segment. I’ll discuss the implementation of a fuzzy-logic-natural-vision-processing engine that solves this problem by assuming the scene architecture prior to processing. The scene architecture, a standardized natural-scene-perception-taxonomy comprised of a hierarchy of nested spatial-taxons. Spatial-taxons are regions (pixel-sets) that are figure-like, in that they are perceived as having a contour, are either `thing-like', or a `group of …
Metacognition: Using Confidence Ratings For Type 2 And Type 1 Roc Curves, S A. Klein
Metacognition: Using Confidence Ratings For Type 2 And Type 1 Roc Curves, S A. Klein
MODVIS Workshop
In the past five years there has been a surge of renewed interest in metacognition ("thinking about thinking"). The typical experiment involves a binary judgment followed by a multilevel confidence rating. It is a confusing topic because the rating could be made either on one's confidence in the binary response (standard rating Type 1 ROC) or on one's confidence sorted by whether the response was correct (Type 2 ROC). Both are metacognition. After a few remarks on challenging aspects of the Type 2 approach, I will present some interesting results for Type 1 ROC for both memory and vision research. …
Binocular 3d Motion Perception As Bayesian Inference, Martin Lages, Suzanne Heron
Binocular 3d Motion Perception As Bayesian Inference, Martin Lages, Suzanne Heron
MODVIS Workshop
The human visual system encodes monocular motion and binocular disparity input before it is integrated into a single 3D percept. Here we propose a geometric-statistical model of human 3D motion perception that solves the aperture problem in 3D by assuming that (i) velocity constraints arise from inverse projection of local 2D velocity constraints in a binocular viewing geometry, (ii) noise from monocular motion and binocular disparity processing is independent, and (iii) slower motions are more likely to occur than faster ones. In two experiments we found that instantiation of this Bayesian model can explain perceived 3D line motion direction under …