Related Experiment Video
Updated: Jun 9, 2025
07:44
In vivo Structural Assessments of Ocular Disease in Rodent Models using Optical Coherence Tomography
Published on: July 24, 2020
2.8K
What do we see behind an occluder? Amodal completion of statistical properties in complex objects
1Centre for Neuroscience, Indian Institute of Science, Bengaluru, 560012, India.
Attention, Perception & Psychophysics
|October 27, 2024
Summary
Human amodal completion is sophisticated, extrapolating global statistical properties for occluded shapes. This process appears automatic for simple shapes but not complex ones, unlike deep networks.
Area of Science:
- Cognitive psychology
- Computational neuroscience
- Computer vision
Background:
- Amodal completion is the perceptual inference of unseen object parts.
- It is unclear how complex features are amodally completed and if it's automatic.
Purpose of the Study:
- Investigate amodal completion for simple and complex shapes in humans.
- Compare human performance with deep neural networks.
Main Methods:
- Participants searched for oddball targets among distractors using occluded displays.
- Displays had identical visible contours but exchanged occluded portions.
- Analyzed search times for globally consistent vs. inconsistent completions.
- Compared human results with deep networks pretrained for object categorization.
Main Results:
- Human search times for occluded displays better matched globally consistent completions for both simple and complex shapes.
- Deep networks showed similar results for simple shapes but not complex shapes.
- Deep networks struggled to extrapolate complex occluded contours.
Conclusions:
- Human amodal completion is sophisticated, utilizing global statistical properties.
- Amodal completion appears automatic for simple shapes in humans.
- Deep networks currently lack the sophistication for complex amodal completion seen in humans.
More Related Videos
07:51Full-Field Optical Coherence Microscopy for Histology-Like Analysis of Stromal Features in Corneal Grafts
Published on: October 21, 2022
1.6K
07:34Perceptual and Category Processing of the Uncanny Valley Hypothesis' Dimension of Human Likeness: Some Methodological Issues
Published on: June 3, 2013
17.3K
Related Concept Videos
01:14Multicompartment Models: Overview
104
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
104
01:12Perceptual Constancy
357
Perceptual constancy is the ability to recognize that objects remain consistent and unchanged even when their appearance varies due to changes in sensory input. There are four main types of perceptual constancy: size constancy, shape constancy, color constancy, and brightness constancy.
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
Size constancy is the recognition that an object remains the same size, even when its image on the retina changes. For instance, a bus is perceived to be large enough to carry people, even if it looks tiny from...
357
01:12Modeling and Similitude
246
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
246
01:18Uniform Depth Channel Flow: Problem Solving
58
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
58
01:29Potential Due to a Polarized Object
367
A neutral atom consists of a positively charged nucleus surrounded by a negatively charged electron cloud. When placed in an external electric field, the external electric force pulls the electrons and nucleus apart, opposite to the intrinsic attraction between the nucleus and the electrons. The opposing forces balance each other with a slight shift between the center of masses of the nucleus and the electron cloud, resulting in a polarized atom. On the other hand, a few molecules, like water,...
367
01:10Design Example: Measuring Distance Between Two Points with Obstructions
28
When measuring distances in areas with physical obstructions, such as a lake in a field, surveyors must employ techniques to calculate accurate lengths without direct line measurements. One effective method is the offset technique, which allows for precise distance estimation over inaccessible stretches.In this scenario, a surveyor must measure a side of an area that crosses a lake. Since the measuring tape cannot span the lake, the surveyor begins by establishing a baseline that aligns with...
28