Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision

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.

• Type: Conference
• Year: 2006
• Where: DAGSTUHL
• Authors: Anthony G. Cohn, David C. Hogg, Brandon Bennett, Vincent E. Devin, Aphrodite Galata, Derek R. Magee, Chris J. Needham, Paulo E. Santos
• Keywords: Cognitive Vision, Computer Vision Techniques, DAGSTUHL 2006, DAGSTUHL 2007, Symbolic Methods