Object recognition in humans and machines

Christian Wallraven; Heinrich H. Bülthoff

doi:10.1007/978-4-431-73019-4_7

Object recognition in humans and machines

Christian Wallraven, Heinrich H. Bülthoff

Department of Brain and Cognitive Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

4 Citations (Scopus)

Abstract

The question of how humans learn, represent and recognize objects has been one of the core questions in cognitive research. With the advent of the field of computer vision - most notably through the seminal work of David Marr - it seemed that the solution lay in a three-dimensional (3D) reconstruction of the environment (Marr 1982, see also one of the first computer vision systems built by Roberts et al. 1965). The success of this approach, however, was limited both in terms of explaining experimental results emerging from cognitive research as well as in enabling computer systems to recognize objects with a performance similar to humans.

Original language	English
Title of host publication	Object Recognition, Attention, and Action
Publisher	Springer Japan
Pages	89-104
Number of pages	16
ISBN (Electronic)	9784431730194
ISBN (Print)	9784431730187
DOIs	https://doi.org/10.1007/978-4-431-73019-4_7
Publication status	Published - 2007

ASJC Scopus subject areas

General Medicine
General Neuroscience

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10.1007/978-4-431-73019-4_7

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Object recognition in humans and machines

Abstract

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