3d vision system

1. Stereovision  1  2 An image from the first camera An image from the second camera Distance between the cameras The first camera The second camera  1  2

2. Suggested Method: Source images An image from the first camera An image from the second camera An image from the third camera

3. Suggested Method: processing images with an edge detector (SOBEL) The image from the first camera The image from the second camera The image from the third camera

4. Suggested Method: Image comparison An image from the first camera An image from the second camera An image from the third camera

5. Suggested Method The Source Image The Result as a 3D Scene

6. Suggested Method The Sourced Image The Result as a 3D Scene

7. Suggested Method The Sourced Image The Result as a 3D Scene

8. Solving the Problem of the objects’ orientation with the suggested method The difference of the object’s orientation is 70 degrees The Original Images

9. Solving the Problem of the objects’ orientation with the suggested method The Original Images processed with an edge detector The difference of the object’s orientation is 70 degrees

10. Solving the Problem of the objects’ orientation with the suggested method The Reconstructed Scenes The First Scene (reconstructed) The Second Scene (reconstructed)

11. Solving the Problem of the objects’ orientation with the suggested method The object from the first scene The object from the second scene

12. Solving the Problem of the objects’ orientation with the suggested method The object from the first scene The object from the second scene

13. Recognition Comparator 3D scene Target object from a Data Base The Object’s Position and Orientation in the Scene

14. Recognition The Original Images The Reconstructed scene Using a virtual object as a target object A virtual target object

15. Recognition The Original Images The Reconstructed scene Using a virtual object as a target object A virtual target object

16. Recognition The Original Images The Reconstructed scene Using a virtual object as a target object A virtual target object

17. Recognition The Original Images The Reconstructed scene Using a virtual object as a target object A virtual target object

18. Recognition Virtual Target Object Scene The Object in the Scene Using a virtual object as a target object

19. The Original Images Recognition Using a real object as a target object

20. The Original Images processed with an Edge Detector Recognition Using a real object as a target object

21. Solving the Problem of Objects’ orientation with suggested method

22. The Example Of Using The Suggested Method: The Identification Of People Receiving the 3d mask from the real image of a human begin Original Image with the projections of the reconstructed points 3D mask of the real image

23. The Example Of Using The Suggested Method: The Identification Of People Receiving the 3d mask from the real image of a human begin Original Image with the projections of the reconstructed points 3D mask of the real image