A structure from motion inequality

08/18/2007
by   Oliver Knill, et al.
0

We state an elementary inequality for the structure from motion problem for m cameras and n points. This structure from motion inequality relates space dimension, camera parameter dimension, the number of cameras and number points and global symmetry properties and provides a rigorous criterion for which reconstruction is not possible with probability 1. Mathematically the inequality is based on Frobenius theorem which is a geometric incarnation of the fundamental theorem of linear algebra. The paper also provides a general mathematical formalism for the structure from motion problem. It includes the situation the points can move while the camera takes the pictures.

READ FULL TEXT

page 9

page 10

page 12

research
08/17/2007

On Ullman's theorem in computer vision

Both in the plane and in space, we invert the nonlinear Ullman transform...
research
08/17/2007

Space and camera path reconstruction for omni-directional vision

In this paper, we address the inverse problem of reconstructing a scene ...
research
05/29/2015

General Deformations of Point Configurations Viewed By a Pinhole Model Camera

This paper is a theoretical study of the following Non-Rigid Structure f...
research
03/04/2016

Finding best possible constant for a polynomial inequality

Given a multi-variant polynomial inequality with a parameter, how to fin...
research
10/10/2018

Real Vector Spaces and the Cauchy-Schwarz Inequality in ACL2(r)

We present a mechanical proof of the Cauchy-Schwarz inequality in ACL2(r...
research
01/30/2017

A Survey of Structure from Motion

The structure from motion (SfM) problem in computer vision is the proble...
research
12/04/2016

General models for rational cameras and the case of two-slit projections

The rational camera model recently introduced in [19] provides a general...

Please sign up or login with your details

Forgot password? Click here to reset