1 / 10

Augmented Reality and 3D modelling

Augmented Reality and 3D modelling. Done by Stafford Joemat Supervised by Mr James Connan and Mehrdad Ghaziasgar. PROJECT OVERVIEW. Marker-based Augmented Reality uses a camera and a visual marker, to determine the center of orientation and range of its coordinate system.

lazaro
Télécharger la présentation

Augmented Reality and 3D modelling

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. Augmented Reality and 3D modelling Done by Stafford Joemat Supervised by Mr James Connan and MehrdadGhaziasgar

  2. PROJECT OVERVIEW • Marker-based Augmented Reality uses a camera and a • visual marker, to determine the center of orientation • and range of its coordinate system. • The system is effectively a driver that allows users to • superimpose a 3D object on a predefined marker, • across multiple frames using fixed input video source.

  3. ITRODUCTION • Requirements Analysis • Object Oriented Analysis • Implementation • Testing Issues • Testing Results • User Manual

  4. REQUIREMENTS ANALYSIS

  5. OBJECT ORIENTATED ANALYSIS

  6. PERSPECTIVE COMPARISON • Compares Original markers’ x , y coordinates with Marker • with in video input frame 1b 2a 1a 2b y 4b 4a 3b 3a 1a + 3a < 1b + 3b && 2a + 4a > 2b + 4b x Rotated to the right

  7. PERSPECTIVE TRANSFORMATION • Transform input Image based on Markers x,y,z received by perspective comparison.

  8. IMPLEMENTATION • Extract frames • Grayscale • Feature detection • Feature comparison Stabilized using a running average with selectivity.

  9. IMPLEMENTATION • Perspective comparison • Perspective transformation • Superimpose image on • extracted frames • Display frames

  10. REFERENCES http://internet.suite101.com/article.cfm/using_printable_augmented_reality_marker_tags http://technotecture.com/augmentedreality http://opencv.willowgarage.com/wiki/ http://www.cs.cmu.edu/~cil/vision.html http://www.adobe.com/devnet/flash/articles/augmented_reality.html www.hotcards.com

More Related