Object Recognition Using Prediction And Probabilistic Match
نویسندگان
چکیده
PREMIO is a CAD-based object recognition and localization system that uses CAD models of 3D objects and knowledge of lighting and sensors to predict the detectability of features in various views of the object. The predictions that PREMIO produces are powerful new tools in recognizing and determining the pose of a 3D object. In order to take advantage of these tools, we have developed a new matching algorithm: an iterative-deepening-A* search that explicitly takes advantage of the predictions to guide the search and reduce the search space. The purpose of this paper is to describe the matching algorithm and illustrative results.
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