Maciejewski, Anthony A., authorKhawaja, Khalid W., authorBouman, Charles Addison, authorTretter, Daniel, authorIEEE, publisher2007-01-032007-01-031994Tretter, Daniel, et al., A CAD Driven Multiscale Approach to Automated Inspection, ICASSP-94: 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing, April 19-22, 1994, Adelaide, South Australia: V397-V400.http://hdl.handle.net/10217/1212In this paper we develop a general multiscale stochastic object detection algorithm for use in an automated inspection application. Information from a CAD model is used to initialize the object model and guide the training phase of the algorithm. An object is represented as a stochastic tree, where each node of the tree is associated with one of the various object components used to locate and identify the part. During the training phase a number of model parameters are estimated from a set of training images, some of which are generated from the CAD model. The algorithm then uses a fast multiscale search strategy to locate and identify the subassemblies making up the object tree. We demonstrate the performance of the algorithm on a typical mechanical assembly.born digitalproceedings (reports)eng©1994 IEEE.Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.mechanical engineering computingobject detectionstochastic processesCADautomatic optical inspectionimage resolutionparameter estimationmechanical engineeringText