1 / 7

Computer Vision for Tangible User Interfaces

Computer Vision for Tangible User Interfaces. Computer Vision. Method for extracting information from images and video streams Includes object identification and tracking Commonly combined with video projectors in TUI applications to augment physical objects with digital information.

milica
Download Presentation

Computer Vision for Tangible User Interfaces

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Computer Vision for Tangible User Interfaces COMP TUI

  2. Computer Vision • Method for extracting information from images and video streams • Includes object identification and tracking • Commonly combined with video projectors in TUI applications to augment physical objects with digital information. COMP TUI

  3. Computer Vision • Strengths: • Fast way to do mockups and prototypes • Can track position and orientation of multiple objects • Weaknesses: • Can be sensitive to lighting and obstructions • Not portable • Often not robust • Computationally expensive COMP TUI

  4. Java Media Framework • A Java library that will interface with most web cams • Makes it easy to capture still frames from a video stream • Sample code available on the compTUI website • http://java.sun.com/products/java-media/jmf/ COMP TUI

  5. ARToolkit • Open source library • Tracks the position and orientation of physical markers • Real time performance • Markers use simple black squares • Pattern matching allows any marker patterns to be used • http://www.hitl.washington.edu/artoolkit/ COMP TUI

  6. Intel’s Open Source Computer Vision Library (opencv) • Real time computer vision library • Open source • Object Identification • Face Recognition • Gesture Recognition • Motion Tracking • Tracks the position and orientation of physical markers • Real time performance • http://www.intel.com/technology/computing/opencv/ COMP TUI

  7. TopCodes • Tangible Object Placement Codes • Designed for fast and accurate computer vision • Each TopCode encodes a 13-bit number • Can track position, size, and angular orientation of multiple objects • Self-calibrating • 100% Java • Code available on the compTUI website COMP TUI

More Related