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Problems and related results in Algebraic Vision and Multiview Geometry

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abstract

The article presents a survey of results in algebraic vision and multiview geometry. The starting points is the study of projective algebraic varieties critical for scene reconstruction. Initially studied for reconstructing static scenes in three-dimensional spaces, these critical loci are later investigated for dynamic and segmented scenes in higher-dimensional projective spaces. The formal analysis of the ideals of critical loci employs Grassmann tensors, introduced as crucial tools for determining these ideals and aiding the reconstruction process away from critical loci. A long-term goal of the authors with other co-authors involves two main aspects: firstly studying properties of Grassmann tensors, as rank, multi-rank and core, along with the varieties that parameterize these tensors; concurrently conducting an analysis of families of critical loci in various scenarios.

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Tensors in algebraic statistics

math.ST · 2024-11-21 · accept · novelty 0.0

An expository overview of tensor theory in algebraic statistics, connecting latent-variable models to tensor decompositions and algebraic geometry.

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  • Tensors in algebraic statistics math.ST · 2024-11-21 · accept · none · ref 9 · internal anchor

    An expository overview of tensor theory in algebraic statistics, connecting latent-variable models to tensor decompositions and algebraic geometry.