Active surface reconstruction by integrating focus, vergence, stereo, and camera calibration

A. Lynn Abbott, Narendra Ahuja

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

Abstract

A method is described for estimating surfaces from stereo images. A single pair of stereo images can yield surface reconstruction for only a small volume of space. Since the scene may be large, images are obtained dynamically using different camera configurations through the control of focus and camera vergence. For smooth objects, this results in the reconstruction of surface patches that are contiguous and overlapping. These sequentially acquired surface maps are merged into a central, composite representation. During camera reconfiguration, unpredictable calibration errors may arise. Therefore, this method permits small changes in calibration parameter values to achieve agreement between adjacent reconstructed patches in the areas of overlap. To integrate the different sources of depth information, and to balance the effects they have on the resulting surface estimate, the surface reconstruction problem is formulated as one of optimization.

Original languageEnglish (US)
Title of host publicationProc 3 Int Conf Comput Vision
PublisherPubl by IEEE
Pages489-492
Number of pages4
ISBN (Print)0818620579
StatePublished - Dec 1 1990
Externally publishedYes
EventProceedings 3rd International Conference on Computer Vision - Osaka, Jpn
Duration: Dec 4 1990Dec 7 1990

Publication series

NameProc 3 Int Conf Comput Vision

Other

OtherProceedings 3rd International Conference on Computer Vision
CityOsaka, Jpn
Period12/4/9012/7/90

ASJC Scopus subject areas

  • Engineering(all)

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