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Carnegie Mellon Robotics Institute

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Abstract

There has been a lot of activity recently surrounding the reconstruction of photorealistic 3-D scenes and high-resolution images from video sequences. In this paper, we present some of our recent work in this area, which is based on the registration of multiple images (views) in a projective framework. Unlike most other techniques, we do not rely on special features to form a projective basis. Instead, we directly solve a least-squares estimation problem in the unknown structure and motion parameters, which leads to statistically optimal estimates. We discuss algorithms for both constructing planar and panoramic mosaics, and for projective depth recovery. We also speculate about the ultimate usefulness of projective approaches to visual scene reconstruction.

Notes

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

Text Reference

Richard Szeliski and Sing Bing Kang, "Direct methods for visual scene reconstruction," IEEE Computer Society Workshop: Representation of Visual Scenes, June, 1995.

BibTeX Reference

@inproceedings{Kang_1995_2859,
   author = "Richard Szeliski and Sing Bing Kang",
   title = "Direct methods for visual scene reconstruction",
   booktitle = "IEEE Computer Society Workshop: Representation of Visual Scenes",
   month = "June",
   year = "1995",
}

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