Cameras Viewing Cameras Geometry

TL;DR

This paper explores the theoretical aspects of multi-view geometry for calibrated cameras that recognize each other, addressing a timely problem relevant to wearable devices, autonomous vehicles, and drones.

Contribution

It provides a theoretical analysis of the intra multi-view geometry of calibrated cameras in scenarios where cameras only recognize each other.

Findings

Analyzes the geometric relationships between cameras recognizing each other.

Provides insights into the structure of multi-view geometry in such systems.

Addresses implications for wearable, autonomous, and drone camera networks.

Abstract

A basic problem in computer vision is to understand the structure of a real-world scene given several images of it. Here we study several theoretical aspects of the intra multi-view geometry of calibrated cameras when all that they can reliably recognize is each other. With the proliferation of wearable cameras, autonomous vehicles and drones, the geometry of these multiple cameras is a timely and relevant problem to study.