Abstract
We describe the challenge of combining continuous computer vision techniques and qualitative, symbolic methods to achieve a system capable of cognitive vision. Key to a truly cognitive system, is the ability to learn: to be able to build and use models constructed autonomously from sensory input. In this paper we overview a number of steps we have taken along the route to the construction of such a system, and discuss some remaining challenges.
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© 2006 Springer-Verlag Berlin Heidelberg
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Cohn, A.G. et al. (2006). Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision. In: Christensen, H.I., Nagel, HH. (eds) Cognitive Vision Systems. Lecture Notes in Computer Science, vol 3948. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11414353_14
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DOI: https://doi.org/10.1007/11414353_14
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33971-7
Online ISBN: 978-3-540-33972-4
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