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Questions and Answers
What is the main objective of computer vision as described in the content?
What is the main objective of computer vision as described in the content?
Computer vision has fully solved the challenge of explaining an image at the level of a two-year-old.
Computer vision has fully solved the challenge of explaining an image at the level of a two-year-old.
False
What are some of the methods used in computer vision to overcome the challenges of modeling the visual world?
What are some of the methods used in computer vision to overcome the challenges of modeling the visual world?
Physics-based models, probabilistic models, and machine learning.
Researchers in computer vision can create accurate dense 3D surface models using __________ matching.
Researchers in computer vision can create accurate dense 3D surface models using __________ matching.
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Why is vision considered an 'inverse problem'?
Why is vision considered an 'inverse problem'?
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Match the following techniques with their descriptions:
Match the following techniques with their descriptions:
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What is the significance of using a large set of views of a particular object in computer vision?
What is the significance of using a large set of views of a particular object in computer vision?
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Progress in computer vision has been stagnant over the past two decades.
Progress in computer vision has been stagnant over the past two decades.
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What is the primary field that develops forward models used in computer vision?
What is the primary field that develops forward models used in computer vision?
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The Müller-Lyer illusion involves two lines that appear to be of different lengths due to perspective effects.
The Müller-Lyer illusion involves two lines that appear to be of different lengths due to perspective effects.
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What visual perception phenomenon explains why a white square in shadow appears different in brightness compared to a black square in light?
What visual perception phenomenon explains why a white square in shadow appears different in brightness compared to a black square in light?
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The field of ___ focuses on how light reflects off surfaces and is scattered by the atmosphere in the context of computer vision.
The field of ___ focuses on how light reflects off surfaces and is scattered by the atmosphere in the context of computer vision.
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Match the following optical illusions with their descriptions:
Match the following optical illusions with their descriptions:
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In what aspect of computer vision are physics models most commonly applied?
In what aspect of computer vision are physics models most commonly applied?
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Light only reflects off the surfaces of objects in an idealized manner, with no scattering effects.
Light only reflects off the surfaces of objects in an idealized manner, with no scattering effects.
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How do models in computer graphics contribute to computer vision?
How do models in computer graphics contribute to computer vision?
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What is the purpose of exposure bracketing in photography?
What is the purpose of exposure bracketing in photography?
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Morphing involves transforming a photograph of an object into a 3D model.
Morphing involves transforming a photograph of an object into a 3D model.
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What technique is used to navigate through a collection of photographs in 3D?
What technique is used to navigate through a collection of photographs in 3D?
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_______ is a technique that merges overlapping photos into a single panorama.
_______ is a technique that merges overlapping photos into a single panorama.
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Match the following computer vision applications with their descriptions:
Match the following computer vision applications with their descriptions:
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Which technique allows for the removal of shake from videos?
Which technique allows for the removal of shake from videos?
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Visual authentication can automatically log users onto their home computer.
Visual authentication can automatically log users onto their home computer.
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What is one major reason for the focus on applications in computer vision?
What is one major reason for the focus on applications in computer vision?
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What was a significant development in the 2000s regarding image-based rendering?
What was a significant development in the 2000s regarding image-based rendering?
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High dynamic range (HDR) images do not require tone mapping algorithms to be displayed.
High dynamic range (HDR) images do not require tone mapping algorithms to be displayed.
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What technique involves merging multiple exposures to create HDR images?
What technique involves merging multiple exposures to create HDR images?
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Image stitching and light-field capture are examples of __________ techniques.
Image stitching and light-field capture are examples of __________ techniques.
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Match the following techniques with their applications:
Match the following techniques with their applications:
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Which of these techniques is categorized under computational photography?
Which of these techniques is categorized under computational photography?
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Feature-based techniques combined with learning were mainly introduced in the 1990s.
Feature-based techniques combined with learning were mainly introduced in the 1990s.
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Name one notable paper regarding object recognition from the 2000s.
Name one notable paper regarding object recognition from the 2000s.
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What does the JPEG standard use for still images?
What does the JPEG standard use for still images?
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The HSV color space includes hue, saturation, and luminance.
The HSV color space includes hue, saturation, and luminance.
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What does saturation represent in the HSV color space?
What does saturation represent in the HSV color space?
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The RGB color values obtained from a JPEG image are called __________.
The RGB color values obtained from a JPEG image are called __________.
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Match the following components with their definitions in the HSV color space:
Match the following components with their definitions in the HSV color space:
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Which formula is not essential for general use in image processing?
Which formula is not essential for general use in image processing?
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The Y xy coordinates are used to affect both saturation and hue in images.
The Y xy coordinates are used to affect both saturation and hue in images.
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What is the primary use of deblocking in image processing?
What is the primary use of deblocking in image processing?
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Which of the following image compression standards uses 8 × 8 DCT transforms?
Which of the following image compression standards uses 8 × 8 DCT transforms?
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The DC coefficients in video compression are directly derived from the AC coefficients.
The DC coefficients in video compression are directly derived from the AC coefficients.
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What is the main variable controlled by the quality setting on a JPEG file?
What is the main variable controlled by the quality setting on a JPEG file?
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The alternative transformations used in JPEG 2000 are based on __________.
The alternative transformations used in JPEG 2000 are based on __________.
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Match the compression standards with their corresponding block sizes:
Match the compression standards with their corresponding block sizes:
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Which compression standard is noted for using smaller block sizes like 4 × 4 or 2 × 2?
Which compression standard is noted for using smaller block sizes like 4 × 4 or 2 × 2?
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Block-based motion compensation encodes the difference between each block and predicted pixel values from the current frame.
Block-based motion compensation encodes the difference between each block and predicted pixel values from the current frame.
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What type of coding scheme can be used to encode the coefficient values after transform coding?
What type of coding scheme can be used to encode the coefficient values after transform coding?
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Study Notes
Computer Vision Module 1
- Computer vision is about recreating the three-dimensional structure of the world from images.
- Humans perceive 3D easily, but computers find it difficult.
- Computer vision techniques use mathematical models and machine learning to infer properties from images (e.g., shape and appearance.)
- Using large sets of partially overlapping photographs, 3D models can be created.
- These advances are used in applications like optical character recognition, mechanical inspection, retail, warehousing logistics, and medical imaging.
- Self-driving cars and drone-based photogrammetry are also enabled by computer vision.
- Computer vision is an inverse problem; finding the solution is difficult.
Optical Illusions and Visual Perception
- Illusions are used to test visual principles such as brightness constancy.
- The visual system attempts to compensate for changes in lighting.
- Visual perception is complex.
- There is no easy solution to understanding the principles of visual perception.
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Description
This quiz explores the fundamental concepts and challenges in computer vision. From understanding visual perception phenomena to the methods used for modeling the visual world, test your knowledge on the key principles that define this field. Delve into topics like inverse problems and the significance of various approaches.