DeepAI AI Chat
Log In Sign Up

Differential Methods in Catadioptric Sensor Design with Applications to Panoramic Imaging

by   R. Andrew Hicks, et al.
Drexel University

We discuss design techniques for catadioptric sensors that realize given projections. In general, these problems do not have solutions, but approximate solutions may often be found that are visually acceptable. There are several methods to approach this problem, but here we focus on what we call the "vector field approach". An application is given where a true panoramic mirror is derived, i.e. a mirror that yields a cylindrical projection to the viewer without any digital unwarping.


page 5

page 7


Fast Graph Filters for Decentralized Subspace Projection

A number of inference problems with sensor networks involve projecting a...

Retrieving Similar X-Ray Images from Big Image Data Using Radon Barcodes with Single Projections

The idea of Radon barcodes (RBC) has been introduced recently. In this p...

Approximate computation of projection depths

Data depth is a concept in multivariate statistics that measures the cen...

On The Power of Tree Projections: Structural Tractability of Enumerating CSP Solutions

The problem of deciding whether CSP instances admit solutions has been d...

Optimal Projections in the Distance-Based Statistical Methods

This paper introduces a new way to calculate distance-based statistics, ...

Structure and Design of HoloGen

Increasing popularity of augmented and mixed reality systems has seen a ...