1. Robotics and Computer Vision

2. Robot and Robotics

3. Robot and Robotics

4. Robot and Robotics

5. Soft Robotics

6. Soft Robotics

7. Advanced Robotics

8. Vision

9. What Do We See? 3D world 2D image Figures © Stephen E. Palmer, 2002
This emphasizes that interpretation is inherently a difficult problem. It is ill-posed because there an infinite number of interpretations of a 3D scene.
Figures © Stephen E. Palmer, 2002

10. What do we see? 3D world 2D image Painted backdrop
It is impossible to know from pure visual processing if this scene is a backdrop or a real 3D scene.
Painted
backdrop
Figures © Stephen E. Palmer, 2002

11. Brightness: Measurement vs. Perception
Visual system tries to undo the measured brightness into the reflectance and illumination and estimate the reflectance that is inherent to the object.
Do squares A and B have the same brightness?

12. Brightness: Measurement vs. Perception
Squares A and B have the same measured brightness but a different perceived brightness!

13. Lengths: Measurement vs. Perception
Müller-Lyer Illusion
Our perception of geometric properties is affected by our interpretation.

14. Which monster is larger?
Shepard RN (1990) Mind Sights: Original Visual Illusions, Ambiguities, and other Anomalies, New York: WH Freeman and Company
We can’t help but to integrate perspective cues into our interpretation of the image.

15. Find The Face In This “Coffee Beans” Image?
We ourselves are susceptible to clutter as well. This is a problem where computer might do faster than human.

16. Brain Fills In Occlusions

17. Segmentation and Grouping – Find The Dog
This scene is really a collection of many random spots and dots but the brain can group them together to segment the dog from the background.

18. Is Face Processing Orientation Dependent?

19. Vision and Robotics
What is in there?

20. What is context?
Context is information relevant to the detection task but not directly due to the physical appearance of the object.
Wolf and Bileschi, 2004
What do we mean by “context”?
We can interpret the H or A based on context. Example from “Cognition in Action” Smyth Collins Morris Levy, 1994, LEA Publishers.
In our case, we think of “the object” as a person’s face.
Smyth et al., 1994

21. Role of Context in Image Understanding
TENNIS BALL
Inter-object semantics [Rabinovich 2007]

22. 3D Vision What about a 3D world? Virtual reality Modelling
Visualization

23. Engineering vs Science

24. Engineering vs Science
Thomas Edison
($15,000,000,000)
Nikola Tesla
(~0)

25. Engineering vs Science
Steve P. Jobs
Samuel Hurst

26. Doctors vs Engineers

27. Different view! (Art+ Music+ Science)

28. The Key

29. [Computer] Engineering is all about fun!!!!!!
So…
[Computer] Engineering is all about fun!!!!!!

30. Creativity

31. An engineer father is like:

32. An engineer never gives up. Can you put four between five
An engineer never gives up!!! Can you put four between five? Non-engineer says: NO Engineer: YES
F(IV)E

33. You will learn physics

34. You will learn math

35. You understand the meaning of many things critically
Why do we spell PITZA, pizza?

36. Value of last minute in Engineering

37. FAIL: Bad? Good?

38. An Apple

39. In Computer Engineering programme you will learn how to develop your CREATIVITY skills

40. Creativity
S. Jobs:
Creativity is just connecting things. When you ask creative people how they did it they feel a bit guilty because they didn’t really do it. It seemed obvious to them after a while. That’s because they are able to connect experiences they’ve had and synthesize new things.

41. University of Tartu
Computer Engineering

43. Robot Manniquin

44. 3D visualization

45. Multimodal Emotion recognition

46. Multimodal Emotion recognition

47. Image Compression

48. 3D Modelling

49. Watermarking

50. Vision and Robotics

52. Thank You