The method employed uses regions as basic data and progresses by successive partitioning of the picture toward an interpretable "goal partition", which is then explored by a heuristic decision tree.
In this paper a structural approach to modeling is argued for that explicitly relates image appearance to the scene characteristics from which it arose.
This presentation presents an overview of the architecture of problem-based learning (PBL) and a faculty perspective on how it provided support for classroom implementation of PBL in a STEM workforce course.
Richard E. Fikes, Peter E. Hart, & Nils J. Nilsson
For the past several years research on robot problem-solving methods has centered on what may one day be called "simple" plans: linear sequences of actions to be performed by single robots to achieve single goals in static environments.
Martin A. Fischler, Yvan G. Leclerc, Pascal V. Fua, Stephen T. Barnard, & Oscar Firschein
This technical report consists of an introductory paper and three technical papers presented at the session, "AI Application of Supercomputers: The Vision Problem."
A unified framework for 3-D shape reconstruction allows us to combine image-based and geometry-based information sources. The image information is akin to stereo and shape-from-shading, while the geometric information may be provided in the form of 3-D points, 3-D features or 2-D silhouettes.
W. Neuenschwander, Pascal V. Fua, G. Szekely, & O. Kubler
We propose a snake-based approach that lets a user specify only the distant endpoints of the curve he wishes to delineate without having to supply an almost complete polygonal approximation. We greatly simplify the initialization process and achieve much better convergence properties...
