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ECE-1021 Instructor’s Project

ECE-1021 Instructor’s Project. SIRDS Single Image Random Dot Stereograms STATUS UPDATE #5 02 DEC 03. Goals for Today’s Date (02 NOV 03). Project Kick-Off: 18 November 2003 Project Demo: 04 December 2003 (16 days) Skeleton Program (Dummy SIRDS Image)

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ECE-1021 Instructor’s Project

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  1. ECE-1021 Instructor’s Project SIRDS Single Image Random Dot Stereograms STATUS UPDATE #5 02 DEC 03

  2. Goals for Today’s Date (02 NOV 03) Project Kick-Off: 18 November 2003 Project Demo: 04 December 2003 (16 days) Skeleton Program (Dummy SIRDS Image) • 20 Nov 03: Input Data File Format Defined • 20 Nov 03: Output Data File Format Defined • 22 Nov 03: User Interface Defined • 25 Nov 03: Skeleton Program Tested SIRDS Image Generation Algorithm • 20 Nov 03: Basic Approach Researched and Understood. • 22 Nov 03: User Controllable Parameters Identified. • 25 Nov 03: Image Generation Algorithm Finished • 29 Nov 03: Algorithm Integrated into Skeleton Program • 02 Dec 03: Final Product Testing and Prepare Deliverables

  3. Project Deliverable from K.O.B. Project Demonstration will consist of: • Overview of Project • What SIRDS is. • The specific goals of this software package. • Algorithm Presentation • The basic concept of SIRDS Image Generation. • Development of the relevant mathematical models. • The finished Image Generation Algorithm. • Software Demonstration

  4. What is SIRDS? • Single Image Random Dot Stereogram • A form of AutoStereoImage • 3D information presented in a single image. • No filter or equipment needed to separate left and right data. • Viewer decouples eye convergence length and eye focal length to see the data in 3D. • Variations include: • SIRTS: Single Image Random Text Stereogram • SIS: Single Image Stereogram (tiles instead of dots)

  5. Normal AutoStereo Vision The eye muscles tilt the eyes toward each other so that their sight-lines converge at a certain distance. Other eye muscles change the shape of the eye lens so that the eyes are in focus at that same distance. These two muscle movements are trained to act in concert, but they can be decoupled with practice.

  6. Perceived distance Pixel seen by right eye Pixel seen by left eye “Cross-eyed” AutoStereo Vision The brain’s primary depth perception at short distances is based on the convergence point depth.

  7. Perceived distance Pixel seen by left eye Pixel seen by right eye “Wall-eyed” AutoStereo Vision The brain’s primary depth perception at short distances is based on the convergence point depth.

  8. Wall-eyed vs. Cross-eyed • Wall-eye images are most common. • More comfortable to view. • Generally stronger 3D effect. • Limitation on image size, distance, and separation. • Cross-eyed images have some advantages. • Easier to view (not more comfortable). • No limitation of size, distance, and separation. • Perceived Depth is reversed if the wrong technique is used.

  9. Mealstrom by Pascal Massimino- A Wall-eyed SIS

  10. Goals of Project • Pull the slides from the Kick-Off Briefing. • Minor rewording needed.

  11. Basic SIRDS Generation Concept • Pull the slides from Status Update #1. • Minor rewording needed.

  12. Key Mathematical Model • Pull the slides from Status Update #3. • Minor rewording needed.

  13. SIRDS Generation Algorithm • Pull the slides from Status Update #3. • Minor rewording needed.

  14. Software Demonstration • User Interface Overview • Pull the slides from Status Update #3. • Example Output • Pull the slides from Status Update #4. • Actually run the program and display result.

  15. Only remaining task is to assemble presentation slides and walk through the presentation itself. Project Kick-Off: 18 November 2003 Project Demo: 04 December 2003 (16 days) Skeleton Program (Dummy SIRDS Image) • 20 Nov 03: Input Data File Format Defined • 20 Nov 03: Output Data File Format Defined • 22 Nov 03: User Interface Defined • 25 Nov 03: Skeleton Program Tested SIRDS Image Generation Algorithm • 20 Nov 03: Basic Approach Researched and Understood. • 22 Nov 03: User Controllable Parameters Identified. • 25 Nov 03: Image Generation Algorithm Finished • 29 Nov 03: Algorithm Integrated into Skeleton Program • 02 Dec 03: Final Product Testing

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