Internal Camera Calibration Using Rotation and Geometric Shapes.

Abstract

This paper describes a simple method for internal camera calibration for computer vision systems. It is intended for use with medium to wide angle camera lenses. With modification it can be used for longer focal lengths. This method is based on tracking image features through a sequence of images while the camera undergoes pure rotation. This method does not require a special calibration object. The location of the features relative to the camera or to each other need not be known. It is only required that the features can be located accurately in the image. This method can therefore be used both for laboratory calibration and for self calibration in autonomous robots working in unstructured environments. The method works when features can be located to single pixel accuracy, but subpixel accuracy should be used if available. Computer vision, Rotation, Lines, Spheres, Camera calibration

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1993
Accession Number
ADA272718

Entities

People

  • Gideon P. Stein

Organizations

  • Massachusetts Institute of Technology

Tags

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Calibration
  • Camera Lenses
  • Cameras
  • Computer Vision
  • Computers
  • Rotation
  • Wide Angles

Fields of Study

  • Computer science
  • Physics

Readers

  • Aerospace Test and Evaluation
  • Image Processing and Computer Vision.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy