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Humans possess an intricate and powerful visual system in order to perceive and understand the environing world. Human perception can effortlessly detect and correctly group features in visual data and can even interpret random-dot videos…

Computer Vision and Pattern Recognition · Computer Science 2020-01-30 Thomas Dagès , Michael Lindenbaum , Alfred M. Bruckstein

The Gestalt laws of perceptual organization, which describe how visual elements in an image are grouped and interpreted, have traditionally been thought of as innate despite their ecological validity. We use deep-learning methods to…

Machine Learning · Computer Science 2020-07-01 Been Kim , Emily Reif , Martin Wattenberg , Samy Bengio , Michael C. Mozer

Visual segmentation is a key perceptual function that partitions visual space and allows for detection, recognition and discrimination of objects in complex environments. The processes underlying human segmentation of natural images are…

Computer Vision and Pattern Recognition · Computer Science 2019-05-03 Jonathan Vacher , Pascal Mamassian , Ruben Coen-Cagli

Gestalt psychologists have identified a range of conditions in which humans organize elements of a scene into a group or whole, and perceptual grouping principles play an essential role in scene perception and object identification.…

Artificial Intelligence · Computer Science 2023-02-21 Valerio Biscione , Jeffrey S. Bowers

"Emergence", the phenomenon where a complex system displays properties, behaviours, or dynamics not trivially reducible to its constituent elements, is one of the defining properties of complex systems. Recently, there has been a concerted…

Information Theory · Computer Science 2023-01-11 Thomas F. Varley

Humans are able to segment images effortlessly without supervision using perceptual grouping. Here, we propose a counter-intuitive computational approach to solving unsupervised perceptual grouping and segmentation: that they arise because…

Computer Vision and Pattern Recognition · Computer Science 2024-10-24 Ben Lonnqvist , Zhengqing Wu , Michael H. Herzog

Visual perception plays a critical role in detecting changes within immersive Virtual Reality (VR) environments. However, as visual complexity increases, perceptual performance declines, making it more difficult to detect changes quickly…

Human-Computer Interaction · Computer Science 2026-01-22 DongHoon Kim , Isaac Cho

Change detection plays an important role in most video-based applications. The first stage is to build appropriate background model, which is now becoming increasingly complex as more sophisticated statistical approaches are introduced to…

Computer Vision and Pattern Recognition · Computer Science 2014-05-27 Dong Liang , Shun'ichi Kaneko

Emergence is a profound subject that straddles many scientific disciplines, including the formation of galaxies and how consciousness arises from the collective activity of neurons. Despite the broad interest that exists on this concept,…

Human visual perception is a complex, dynamic and fluctuating process. In addition to the incoming visual stimulus, it is affected by many other factors including temporal context, both external and internal to the observer. In this study…

Neurons and Cognition · Quantitative Biology 2020-07-01 Urit Gordon , Shimon Marom , Naama Brenner

This paper will introduce a theory of emergent animal social complexity using various results from computational models and empirical results. These results will be organized into a vertical model of social complexity. This will support the…

Populations and Evolution · Quantitative Biology 2013-10-18 Bradly Alicea

The deployment of autonomous agents in real-world scenarios is challenged by "unknown unknowns", i.e. novel unexpected environments not encountered during training, such as degraded signs. While existing research focuses on anomaly…

Computer Vision and Pattern Recognition · Computer Science 2023-09-19 Abhibha Gupta , Rully Agus Hendrawan , Mansur Arief

Human behavior is fundamentally shaped by visual perception -- our ability to interact with the world depends on actively gathering relevant information and adapting our movements accordingly. Behaviors like searching for objects, reaching,…

Robotics · Computer Science 2025-05-20 Zhengyi Luo , Chen Tessler , Toru Lin , Ye Yuan , Tairan He , Wenli Xiao , Yunrong Guo , Gal Chechik , Kris Kitani , Linxi Fan , Yuke Zhu

The human brain can recognize objects hidden in even severely degraded images after observing them for a while, which is known as a type of Eureka effect, possibly associated with human creativity. A previous psychological study suggests…

Neurons and Cognition · Quantitative Biology 2022-07-05 Kazufumi Hosoda , Shigeto Seno , Tsutomu Murata

It is a mystery how the brain decodes color vision purely from the optic nerve signals it receives, with a core inferential challenge being how it disentangles internal perception with the correct color dimensionality from the unknown…

Neural and Evolutionary Computing · Computer Science 2025-03-04 Atsunobu Kotani , Ren Ng

A number of scientists suggested that human visual perception may emerge from image statistics, shaping efficient neural representations in early vision. In this work, a bio-inspired architecture that can accommodate several known facts in…

Computer Vision and Pattern Recognition · Computer Science 2025-08-15 Pablo Hernández-Cámara , Jesus Malo , Valero Laparra

Evaluating human brain potentials during watching different images can be used for memory evaluation, information retrieving, guilty-innocent identification and examining the brain response. In this study, the effects of watching images,…

Machine Learning · Statistics 2017-10-13 Ali Saeedi , Ehsan Arbabi

Human vision organizes local cues into coherent global forms using Gestalt principles like closure, proximity, and figure-ground assignment -- functions reliant on global spatial structure. We investigate whether modern vision models show…

Computer Vision and Pattern Recognition · Computer Science 2025-06-03 Tianqin Li , Ziqi Wen , Leiran Song , Jun Liu , Zhi Jing , Tai Sing Lee

This paper argues that self-awareness is a learned behavior that emerges in organisms whose brains have a sufficiently integrated, complex ability for associative learning and memory. Continual sensory input of information related to the…

Neurons and Cognition · Quantitative Biology 2007-06-13 Emmanuel Tannenbaum

Gestalt theory has provided perceptual science with a conceptual framework which has inspired researchers ever since, taking the field of perceptual organization into the 21st century. This opinion article discusses the importance of rules…

Human-Computer Interaction · Computer Science 2022-06-03 Birgitta Dresp-Langley
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