Critical hypersurfaces and instability for reconstruction of scenes in high dimensional projective spaces

Main Article Content

Bertolini Marina
Magri Luca


Keywords : critical loci, projective reconstruction, computer vision, multiview geometry
Abstract

In the context of multiple view geometry, images of static scenes are modeled as linear projections from a projective space ℙ3 to a projective plane ℙ2 and, similarly, videos or images of suitable dynamic or segmented scenes can be modeled as linear projections from ℙk to ℙh, with k > h ≥ 2. In those settings, the projective reconstruction of a scene consists in recovering the position of the projected objects and the projections themselves from their images, after identifying many enough correspondences between the images. A critical locus for the reconstruction problem is a configuration of points and of centers of projections, in the ambient space, where the reconstruction of a scene fails. Critical loci turn out to be suitable algebraic varieties. In this paper we investigate those critical loci which are hypersurfaces in high dimension complex projective spaces, and we determine their equations. Moreover, to give evidence of some practical implications of the existence of these critical loci, we perform a simulated experiment to test the instability phenomena for the reconstruction of a scene, near a critical hypersurface.

Article Details

How to Cite
Marina, B. ., & Luca, M. (2020). Critical hypersurfaces and instability for reconstruction of scenes in high dimensional projective spaces. Machine Graphics and Vision, 29(1/4), 3–20. https://doi.org/10.22630/MGV.2020.29.1.1
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