CVDec 22, 2014

A New Way to Factorize Linear Cameras

arXiv:1412.6847v1
Originality Synthesis-oriented
AI Analysis

This work addresses a technical problem in computer vision for researchers, but appears incremental as it builds on existing factorization concepts.

The paper presents a method to factorize 3x4 projection matrices of linear cameras into left matrix factors and 4x4 homogeneous central projection factors, extending this to multiple view midpoint triangulation for pinhole and affine cameras.

The implementation details of factorizing the 3x4 projection matrices of linear cameras into their left matrix factors and the 4x4 homogeneous central(also parallel for infinite center cases) projection factors are presented in this work. Any full row rank 3x4 real matrix can be factorized into such basic matrices which will be called LC factors. A further extension to multiple view midpoint triangulation, for both pinhole and affine camera cases, is also presented based on such camera factorizations.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes