Abstract
Scene interpretation systems are often conceived as extensions of low-level image analysis with bottom-up processing for high-level interpretations. In this contribution we show how a generic high-level interpretation system can generate hypotheses and initiate feedback in terms of top-down controlled low-level image analysis. Experimental results are reported about the recognition of structures in building facades.
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Hotz, L., Neumann, B., Terzic, K. (2008). High-Level Expectations for Low-Level Image Processing. In: Dengel, A.R., Berns, K., Breuel, T.M., Bomarius, F., Roth-Berghofer, T.R. (eds) KI 2008: Advances in Artificial Intelligence. KI 2008. Lecture Notes in Computer Science(), vol 5243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85845-4_11
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DOI: https://doi.org/10.1007/978-3-540-85845-4_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85844-7
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