mlsanityData to 7 Oct 2026

Minimal Problems for the Calibrated Trifocal Variety

arXiv 1611.05947 ↗First posted 18 Nov 2016math.AG cs.CV cs.NAcited by 15

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Abstract (arXiv)

We determine the algebraic degree of minimal problems for the calibrated trifocal variety in computer vision. We rely on numerical algebraic geometry and the homotopy continuation software Bertini.

Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 18 Nov 2016.

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 4; 2022: 2; 2023: 1; 2024: 3; 2025: 3; 2026: 2.

15 papers.

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  1. 2021Learning to Solve Hard Minimal Problemscited by 18
  2. 2021Galois/monodromy groups for decomposing minimal problems in 3D reconstructioncited by 12
  3. 2022Snapshot of Algebraic Visioncited by 9
  4. 2021GPU-Based Homotopy Continuation for Minimal Problems in Computer Visioncited by 8
  5. 2022An Atlas for the Pinhole Cameracited by 5
  6. 2024Minimal Perspective Autocalibrationcited by 3
  7. 2024Tensor-Based Synchronization and the Low-Rankness of the Block Trifocal Tensorcited by 3
  8. 2023Practical solutions to the relative pose of three calibrated camerascited by 1
  9. 2024Simulator HC: Regression-based Online Simulation of Starting Problem-Solution Pairs for Homotopy Continuation in Geometric Visioncited by 1
  10. 2025Higher-Order Group Synchronizationcited by 1
  11. 2021On a realization of motion and similarity group equivalence classes of labeled points in mathbb Rk with applications to computer visioncited by 0
  12. 2025PLMP -- Point-Line Minimal Problems for Projective SfMcited by 0
3 more
  1. 2025Numerically Computing Galois Groups of Minimal Problemscited by 0
  2. 2026QuadSync: Quadrifocal Tensor Synchronization via Tucker Decompositioncited by 0
  3. 2026Multiprojective Geometry of Compatible Triples of Fundamental and Essential Matricescited by 0