Fundamental matrix and planar homographies in stereo vision

Qiang He; Chee-Hung Henry Chu

doi:10.1117/12.919709

10 May 2012 Fundamental matrix and planar homographies in stereo vision

Qiang He, Chee-Hung Henry Chu

Proceedings Volume 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X; 84011B (2012) https://doi.org/10.1117/12.919709
Event: SPIE Defense, Security, and Sensing, 2012, Baltimore, Maryland, United States

Abstract

We describe the epipolar constraint that specifies the geometry of stereo vision. We consider the 3D structure reconstruction from multiple views through the new perspective of basing the reconstruction from directly estimated planar homographies instead of using techniques that are based on matched point pairs. Planar homography parameters can more accurately extract scene planar surfaces and directly solve for the 3D structure and camera motion parameters. The new method has the advantage that it integrates larger amount of information because the homography parameters are estimated directly from the intensities and not from an abstracted descriptor of the neighborhood. Because it does not rely on a transformation of an entire image region, the method is efficient.

Citation Download Citation

Qiang He and Chee-Hung Henry Chu "Fundamental matrix and planar homographies in stereo vision", Proc. SPIE 8401, Independent Component Analyses, Compressive Sampling, Wavelets, Neural Net, Biosystems, and Nanoengineering X, 84011B (10 May 2012); https://doi.org/10.1117/12.919709

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