CV Chapter 1 Introduction

Questions about the lecture 'Computer Vision' of the RWTH Aachen Chapter 1 Introduction

Questions about the lecture 'Computer Vision' of the RWTH Aachen Chapter 1 Introduction


R. B.
This flashcard set delves into the fundamentals of computer vision at a university level, covering key concepts like image resolution, sensor arrays, and lenses. It explores the history of vision technology, challenges in computer vision, and its applications in fields like medical imaging and security. Ideal for students and professionals, this flashcard set provides a comprehensive overview of how computers interpret and process visual information, making it essential for those studying or working in computer science.
Cartes-fiches
19
Utilisateurs
1
Langue
Anglais
Catégorie
Informatique
Niveau
Université
Créé / Mis à jour
04.02.2017 / 16.02.2017

Cartes-fiches

What are the different fields of computer vision? [6]

1. AI, 2. machine learning, 3. cognitive science, 4. algorithms, 5. image processing and 6. graphics

What is the motivation of computer vision? [2]

1. Cameras (images and videos) are everywhere

2. Understand images and videos

What are the components of understanding images and videos? [3]

1. Measurement

2. Perception and interpretation // Recognize objects, people, scenes

3. Structure

What are the applications of computer vision? [9]

1. face detection to set focus, lighting, smile

2. background removal

3. panoramas

4. visual search // Google googles

5. vision based interface

6. medical imaging

7. visual special effects

8. safety and security for car, monitoring, surveillance

9. depth from defocus

What are the challenges of computer vision? [4]

1. Foundations of perception // How do we see?

2. Engineering the system

3. Nuisance parameter

4. Complexity

Which nuisance parameter exist? [6]

1. Illumination

2. Object pose

3. Clutter

4. Occlusions

5. Intra-class appearance

6. Viewpoint

What are the components of complexity? [6]

1. Number of pixels

2. Number of human recognizable object categories

3. Degrees of freedom in the pose of articulated objects

4. Images by Google Image Search

5. Prints by digital cameras

6. Number of camera phones

What happened 1519?

DaVinci with defining camera obscura // Display of images

What happened in the 17th century?

Vermeer with using camera obscura

What happened 1898?

Jetty at Margate, England with camera obscura as attraction

What happened 1966?

Papert directs student to solve “the problem of computer vision” as a summer project

What happened 1991?

Felleman and VanEssen with half of the cerebral cortex devoted for processing visual information

What are the characteristics of pinhole camera? [3]

1. Box with small hole projecting virtual image on image plane

2. Too big/small hole → blur

3. Dark due to small set of rays

What are the characteristics of lenses? [2]

1. Keep the image in sharp focus while getting more information

2. Thin // 1/z’ - 1/z = 1/f

What are the characteristics of depth of field (DoF)? [2]

1. Distance between image planes where blur is tolerable

2. Big/small aperture creates small/big DoF

What are the characteristics of focal length (FL)? [1]

Small/big FL creates wide angle/telescopic images

What are the characteristics of the sensor array of digital images? [3]

1. Charge coupled devices (CCD) are used

2. Light intensities → pixel value

3. Bayer grid with filter layer and sensor array

What are the characteristics of the resolution of digital images? [3]

1. affects analysis and representation choice

2. sensor // real world scene element to pixel size

3. image // number of pixels

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