HIERARCHICAL BAYESIAN APPROACH TO RECONSTRUCTION FROM PROJECTIONS OF A MULTIPLE OBJECT 3-D SCENE.

Yoram Bresler, Albert Macovski

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A suboptimal algorithm for the reconstruction of multiple 3-D objects from a limited and noisy set of projections is presented. The knowledge about the properties of the objects and the imaging process is embedded in a mathematical probabilistic model, converting the problem into an estimation problem, posed directly in projection space. The proposed hierarchical algorithm, alleviates the computational difficulties, by a massive data reduction in each of its steps. The algorithm may be also applied to general image segmentation or boundary detection problems with multiple, possibly overlapping objects.

Original languageEnglish (US)
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherIEEE
Pages455-457
Number of pages3
ISBN (Print)0818605456
StatePublished - 1984
Externally publishedYes

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Bresler, Y., & Macovski, A. (1984). HIERARCHICAL BAYESIAN APPROACH TO RECONSTRUCTION FROM PROJECTIONS OF A MULTIPLE OBJECT 3-D SCENE. In Proceedings - International Conference on Pattern Recognition (pp. 455-457). IEEE.