Hierarchical fusion of geometric constraints for image segmentation

Gunasekaran Seetharaman; Chee-Hung Henry Chu

doi:10.1117/12.25298

1 April 1991 Hierarchical fusion of geometric constraints for image segmentation

Gunasekaran Seetharaman, Chee-Hung Henry Chu

Proceedings Volume 1383, Sensor Fusion III: 3D Perception and Recognition; (1991) https://doi.org/10.1117/12.25298
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States

Abstract

Segmentation of range and intensity image pair of a 3-D scene for model based 3-D object recognition is considered. Hierarchical algorithms exist for segmenting each image individually. We emphasize the degree of similarity in the computation at each level of the hierarchy and note that, in some cases, at the intermediate levels of abstraction (such as local-shape from shading) the uncertainties that exist in range and intensity images are of complementary nature. Certain geometric and surface constraints are illustrated to have such property. A multistage segmentation approach that follows a hierarchical computation in lock-step is then developed. The possibility of parallelizing the computation at different levels is also examined.

Citation Download Citation

Gunasekaran Seetharaman and Chee-Hung Henry Chu "Hierarchical fusion of geometric constraints for image segmentation", Proc. SPIE 1383, Sensor Fusion III: 3D Perception and Recognition, (1 April 1991); https://doi.org/10.1117/12.25298

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