The document provides an introduction to the field of computer vision, including its definition, origins, goals, connections to other disciplines, and applications. Specifically: - Computer vision is defined as obtaining models, meaning, and control from visual data using machines and is concerned with understanding visual perception computationally and applying it to benefit others. - It originated in the 1960s and aims to perceive the "world behind the picture" by understanding 3D information and semantics from images. - It connects to fields like image processing, machine learning, artificial intelligence, robotics, psychology, neuroscience, and computer graphics. - Applications include industrial inspection, surveillance, autonomous vehicles, assistive technologies, and digital cameras.

1. WELCOME

3. Computer Vision

5. Vision as a source of semantic information

6. Object categorization sky building flag wall banner bus cars bus face street lamp

8. Qualitative spatial information slanted rigid moving object horizontal vertical rigid moving object non-rigid moving object

9. Definition Computer vision is the science and technology of machines of obtaining models, meaning and control information from visual data. As a scientific discipline, computer vision is concerned with the theory.

10. The two main fields of computer vision are computational vision and machine vision. Computational vision has to do with simply recording and analyzing the visual perception, and trying to understand it. Machine vision has to do with using what is found from computational vision and applying it to benefit people, animals, environment, etc .

13. Origins of computer vision L. G. Roberts, Machine Perception of Three Dimensional Solids, Ph.D. thesis, MIT Department of Electrical Engineering, 1963.

16. Connections to other disciplines Computer Vision Image Processing Machine Learning Artificial Intelligence Robotics Psychology Neuroscience Computer Graphics

17. Artificial Intelligence ... uses computer vision to recognize handwriting text and drawings . The Robocup tournament and ASIMO are examples of Artificial Intelligence using Computer Vision to its greatest extent. Artificial Intelligence

20. Machine learning is a scientific discipline that is concerned with the design and development of algorithms that allow computers to learn based on data, such as from sensor data or databases . Machine Learning

21. Psychology Neuroscience A brain–computer interface (BCI), sometimes called a direct neural interface or a brain–machine interface, is a direct communication pathway between a brain and an external device.

23. Image Processing A digital image is produced by one or several image sensors , which, besides various types of light-sensitive cameras, include range sensors, tomography devices, radar, ultra-sonic cameras, etc. Depending on the type of sensor, the resulting image data is an ordinary 2D image, a 3D volume, or an image sequence .

24. image processing brings some new concepts — such as connectivity and rotational invariance — that are meaningful or useful only for two-dimensional signals .

25. Vision as measurement device Real-time stereo Structure from motion NASA Mars Rover Pollefeys et al. Multi-view stereo for community photo collections Goesele et al.

26. Iphone sloves Rubiks cube –cube cheater

27. Computer Graphics Computer graphics are graphics created using computers and, more generally, the representation and manipulation of pictorial data by a computer. It has revolutionized the animation and video game industry.

29. A 2D projection of a 3D projection of a 4D

32. Robos on Air

33. Robo On space

38. III. Multi-view geometry Projective structure from motion: Here be dragons! Stereo Affine structure from motion Tomasi & Kanade (1993) Epipolar geometry

39. IV. Recognition Patch description and matching Clustering and visual vocabularies Bag-of-features models Classification

41. Applications of computer vision Driver assistance (collision warning, lane departure warning, rear object detection) Factory inspection Monitoring for safety (Poseidon) Reading license plates, checks, ZIP codes Surveillance Autonomous driving, robot navigation

42. Applications of computer vision Assistive technologies Entertainment (Sony EyeToy) Movie special effects Digital cameras (face detection for setting focus, exposure) Visual search (MSR Lincoln)

43. Challenges: local ambiguity slide credit: Fei-Fei, Fergus & Torralba

44. THANK YOU