Automatic Calibration of Optical Multitouch Surfaces
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Abstract
In this, thesis a novel system for automatically calibrating an optical multitouch surface is presented. The current state of multitouch software forces the user to manually calibrate a surface prior to usage. This process can be tedious and error prone, especially for large surfaces. Our system automates the process of calibration by combining small electronic devices, called Blinks, and a specialized calibration algorithm, called Dasypus, that uses the Blinks to create a camera-to-display transformation function. This thesis presents an overview of the current state of optical multitouch technologies, with special emphasis placed on calibration processes. Popular open-source software packages are explored as well. The design and implementation of our calibration system is presented along with results showing successful calibration. The accuracy of the system and power consumption of the Blinks are discussed, conclusions and limitations are presented, followed by directions for future research.