A Region-Analysis Subsystem for Interactive Scene Analysis
by Tenenbaum, J. M.; Weyl, S.
Technical Note 104
Institution: AI Center, SRI International
Address: 333 Ravenswood Ave, Menlo Park, CA 94025
Note: The research reported herein was supported by the National Aeronautics and Space Administration under Contract NASW-2086.
An Interactive Scene Interpretation System (ISIS) is being developed by Stanford Research Institute’s Artificial Intelligence Center as a tool for constructing and experimenting with man-machine and automatic scene analysis methods tailored for particular image domains. A region analysis subsystem was developed recently based on the work of Brice and Fennema, and Yakimovsky. Using this subsystem a series of experiments was conducted to determine good criteria for initially partitioning a scene into atomic regions and merging these regions into a final partition of the scene along object boundaries. Semantic (problem-dependent) knowledge is essential for complete, correct partitions of complex real-world scenes. An interactive approach to semantic scene segmentation was developed and demonstrated on both landscape and indoor scenes. This approach provides a reasonable methodology for segmenting scenes that cannot be processed completely automatically at present and is a promising basis for a future fully automatic system.
|Tenenbaum, J. M.||Alumnus|