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Visual Cortex Models for Object Recognition

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Computer Vision

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Related Concepts

Object Class Recognition (Categorization)

Definition

Visual cortex model-based methods aim to develop algorithms for object detection, representation and recognition that attempt to mimic human visual systems.

Background

Object recognition is difficult Like other natural tasks that our brain performs effortlessly, visual recognition has turned out to be difficult to reproduce in artificial systems. In its general form, it is a highly challenging computational problem which is likely to play a significant role in eventually making intelligent machines. Not surprisingly, it is also an open and key problem for neuroscience.

Within object recognition, it is common to distinguish two main tasks: identification, for instance, recognizing a specific face among other faces, and categorization, for example, recognizing a car among other object classes. We will discuss both of these tasks below, and use “recognition” to include both.

Models of the visual cortexOver the last...

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Author information

Authors and Affiliations

  1. Department of Brain and Cognitive Sciences, McGovern Institute, Massachusetts Institute of Technology, Cambridge, MA, USA

    Tomaso Poggio & Shimon Ullman

Authors
  1. Tomaso Poggio
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  2. Shimon Ullman
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Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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© 2014 Springer Science+Business Media New York

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Poggio, T., Ullman, S. (2014). Visual Cortex Models for Object Recognition. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_794

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