Methods for combination of evidence in function-based 3D object recognition

Louise Stark; Lawrence O. Hall; Kevin W. Bowyer

doi:10.1117/12.130813

16 December 1992 Methods for combination of evidence in function-based 3D object recognition

Louise Stark, Lawrence O. Hall, Kevin W. Bowyer

Proceedings Volume 1766, Neural and Stochastic Methods in Image and Signal Processing; (1992) https://doi.org/10.1117/12.130813
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

A system which utilizes a function-based representation has been implemented and tested, using the object category `chair' for a case study. Functional description is used to recognize classes and identify subclasses of known categories of objects, even if the specific object has never been encountered previously. Interpretation of the functionality of an object is accomplished through qualitative reasoning about its 3-D shape. During the recognition process, evidence is gathered as to how well the functional requirements are met by the input shape. An investigation of different types of operators used in the combination of the functional evidence has been made. Three pairs of conjunctive and disjunctive operators have been used in the recognition process of the 100+ object shapes. The results are compared and differences are discussed.

Citation Download Citation

Louise Stark, Lawrence O. Hall, and Kevin W. Bowyer "Methods for combination of evidence in function-based 3D object recognition", Proc. SPIE 1766, Neural and Stochastic Methods in Image and Signal Processing, (16 December 1992); https://doi.org/10.1117/12.130813

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