Three-Dimensional Object Recognition Systems

Contributors. 3-D object recognition: Inspirations and lessons from biological vision. Range sensing for computer vision. Feature extraction for 3-D model building and object recognition. Three-dimensional surface reconstruction: Theory and implementation. CAD-based object recognition in range images using pre-compiled strategy trees. Active 3-D object models. Image prediction for computer vision. Tools for 3-D object location from geometrical features by monocular vision. Part-based modeling and qualitative recognition. Appearance-based vision and the automatic generation of object recognition programs. Recognizing 3-D objects using constrained search. Recognition of superquadric models in dense range data. Recognition by alignment. Representations and algorithms for 3-D curved object recognition. Structural indexing: efficient three dimensional object recognition. Building a 3-D world model for outdoor scenes from multiple sensor data. Understanding object configurations. Modal descriptions for modeling, recognition, and tracking. Function-based generic recognition for multiple object categories.