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Perception01:28

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Perception is a fundamental psychological process that enables individuals to organize, interpret, and consciously experience sensory information. This process is crucial for understanding and interacting with the world around us. It includes both bottom-up and top-down processing, each playing a distinct role in how we perceive our environment.
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The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
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Albert Bandura's observational learning, also known as imitation or modeling, occurs when a person observes and imitates another's behavior. It is a quicker process than operant conditioning. A well-known example is the Bobo doll study, where children who saw an adult acting aggressively towards the doll were more likely to act aggressively when left alone, compared to those who observed a nonaggressive adult. Many psychologists view observational learning as a form of latent learning...
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Vision is the result of light being detected and transduced into neural signals by the retina of the eye. This information is then further analyzed and interpreted by the brain. First, light enters the front of the eye and is focused by the cornea and lens onto the retina—a thin sheet of neural tissue lining the back of the eye. Because of refraction through the convex lens of the eye, images are projected onto the retina upside-down and reversed.
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Learning is the process of acquiring knowledge or skills through practice or experience, leading to long-lasting behavioral changes. This acquisition occurs through interaction with the environment and requires practice or experience. For instance, mastering a skill such as surfing requires considerable practice and experience, highlighting the essential role of repeated interactions with the environment in learning.
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Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
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From active perception to deep learning.

Danica Kragic1

  • 1Danica Kragic is the Director of the Centre for Autonomous Systems and a Professor of Computer Science at the KTH Royal Institute of Technology, Stockholm, Sweden.

Science Robotics
|November 3, 2020
PubMed
Summary
This summary is machine-generated.

Computer vision, once linked with robotics, has shifted focus to contests and datasets. Reintegrating these fields offers solutions for practical, real-world challenges.

Area of Science:

  • Robotics and Computer Vision

Background:

  • Computer vision has historically been intertwined with robotics.
  • Recent trends show a divergence, with computer vision increasingly focused on academic contests and curated datasets.

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  • This separation may hinder the application of computer vision in solving tangible, real-world problems.