Co-Calibration and Registration of Color and Event Cameras

Abstract

The event camera uses a novel bio-inspired sensor that works radically different from the traditional optical sensor. Registration between color and event images is challenging due to the data heterogeneity. This technical report presents a method for event and color image registration through camera calibration. Specifically, an event and a color camera are co-calibrated with a common calibration target. As the event camera cannot capture static scenes, we change the intensity of the light source around the calibration board and generate the accumulated frame. At the same time, we press the color camera shutter to obtain a color image. According to this method, multiple pairs of calibration board images are obtained. Next, we combine the event camera with the color camera to perform stereo calibration. The intrinsic and extrinsic parameters of each camera can be obtained respectively, and the relative position between the two cameras determined. Based on the two cameras homography matrix, we can deduce the corresponding position of the pixel in the color image, which is the registration of color and event cameras. The results of experiments performed with a color camera and an event camera pair show the method is effective.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2020
Accession Number
AD1116489

Entities

People

  • Jinwei Ye
  • Philip Osteen
  • Qifan Zhang
  • S. S. Young

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Air Platforms
  • Autonomy
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computer Stereo Vision
  • Computer Vision
  • Coordinate Systems
  • Detection
  • Detectors
  • Energy Consumption
  • Field Programmable Gate Arrays
  • Image Processing
  • Image Registration
  • Information Science
  • Intensity
  • Light Sources
  • Machine Learning
  • Simultaneous Localization And Mapping
  • Stereo Cameras
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Computer science
  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Geodesy
  • Image Processing and Computer Vision.