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Recognition of junctions in scenes containing polyhedral objects has been shown to be an effective means of encoding for modelbased matching. However, noise and inconsistent lighting in the images limit the amount of useful information than can be extracted for junction identification. A wavelet-based system for polyhedral junction recognition that combines the wavelet-derived edges and line elements at multiple levels of resolution to produce a labeled image is introduced. The results of somedoi:10.1117/1.601843 fatcat:owanjm7luja5nbbkh62u7rr6gq