The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

We previously presented a framework for segmentation of complex scenes using multiple physical hypotheses for simple image regions. A consequence of that framework was a proposal for a new approach to the segmentation of complex scenes into regions corresponding to coherent surfaces rather than merely regions of similar color. Herein we present an implementation of this new approach and show example segmentations for scenes containing multi-colored piece-wise uniform objects. By using this new approach we are able to intelligently segment scenes with objects of greater complexity than previous physics-based segmentation algorithms. The results show that by using general physical models we can obtain segmentations that correspond more closely to objects in the scene than segmentations found using only color.

Notes

Sponsor: ARPA of the Department of Defense

Grant ID: DACA76-89-C-0014, DAAE07-90-C-R059

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Calibrated Imaging Lab

Text Reference

Bruce Maxwell and Steven Shafer, "Physics-Based Segmentation: Looking Beyond Color," tech. report CMU-RI-TR-95-37, Robotics Institute, Carnegie Mellon University, October, 1995

BibTeX Reference

@techreport{Maxwell_1995_389,
   author = "Bruce Maxwell and Steven Shafer",
   title = "Physics-Based Segmentation: Looking Beyond Color",
   booktitle = "",
   institution = "Robotics Institute",
   month = "October",
   year = "1995",
   number= "CMU-RI-TR-95-37",
   address= "Pittsburgh, PA",
}

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