Analytical Modeling of Vanishing Points and Curves in Catadioptric Cameras

04/25/2018
by   Pedro Miraldo, et al.
0

Vanishing points and vanishing lines are classical geometrical concepts in perspective cameras that have a lineage dating back to 3 centuries. A vanishing point is a point on the image plane where parallel lines in 3D space appear to converge, whereas a vanishing line passes through 2 or more vanishing points. While such concepts are simple and intuitive in perspective cameras, their counterparts in catadioptric cameras (obtained using mirrors and lenses) are more involved. For example, lines in the 3D space map to higher degree curves in catadioptric cameras. The projection of a set of 3D parallel lines converges on a single point in perspective images, whereas they converge to more than one point in catadioptric cameras. To the best of our knowledge, we are not aware of any systematic development of analytical models for vanishing points and vanishing curves in different types of catadioptric cameras. In this paper, we derive parametric equations for vanishing points and vanishing curves using the calibration parameters, mirror shape coefficients, and direction vectors of parallel lines in 3D space. We show compelling experimental results on vanishing point estimation and absolute pose estimation for a wide range of catadioptric cameras in both simulations and real experiments.

READ FULL TEXT

page 1

page 7

page 8

research
07/26/2018

A Minimal Closed-Form Solution for Multi-Perspective Pose Estimation using Points and Lines

We propose a minimal solution for pose estimation using both points and ...
research
06/14/2015

Resolving Scale Ambiguity Via XSlit Aspect Ratio Analysis

In perspective cameras, images of a frontal-parallel 3D object preserve ...
research
10/14/2019

NeurVPS: Neural Vanishing Point Scanning via Conic Convolution

We present a simple yet effective end-to-end trainable deep network with...
research
06/09/2020

D-VPnet: A Network for Real-time Dominant Vanishing Point Detection in Natural Scenes

As an important part of linear perspective, vanishing points (VPs) provi...
research
07/06/2021

Exact Analytical Parallel Vectors

This paper demonstrates that parallel vector curves are piecewise cubic ...
research
03/16/2022

Deep vanishing point detection: Geometric priors make dataset variations vanish

Deep learning has improved vanishing point detection in images. Yet, dee...
research
01/08/2023

Equivalence of Two Expressions of Principal Line

Geometry-based camera calibration using principal line is more precise a...

Please sign up or login with your details

Forgot password? Click here to reset