Computer Vision: Application Areas

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What is the main objective of Face Recognition in Computer Vision?

To detect and identify objects

To detect and identify faces (correct)

To synthesize images

To restore degraded images

What is Semantic Segmentation used for in Computer Vision?

For separating objects from an image (correct)

For image synthesis

For object recognition and identification

For machine reading of handwritten text

What is the application area of Computer Vision that involves automatic reading of machine printed and handwritten text?

Image Restoration

Machine Reading (correct)

Object Recognition

Semantic Segmentation

What is the primary focus of Image Processing in Computer Vision?

Restoration and Manipulation of images Signup and view all the answers

What is the term for the process of finding traces of elementary particles in Computer Vision?

Monitoring/Analysis of biological/physical/chemical processes Signup and view all the answers

What is the relationship between Computer Vision and Computer Graphics/Virtual Reality?

They overlap in Image Synthesis Signup and view all the answers

What is the primary goal of the image preprocessing step in a machine vision system?

To improve the image quality for a specific application Signup and view all the answers

Which of the following is NOT a typical step in the classical computer vision architecture?

Audio Processing Signup and view all the answers

What is the purpose of the classification and interpretation step in a machine vision system?

To recognize objects in the image Signup and view all the answers

What is the relation between object and image distance, size, and focal length of the lens, as defined by the thin lens equation?

1 / f = 1 / z + 1 / z0 Signup and view all the answers

What is the outcome of the local feature extraction step in a machine vision system?

Keypoints and symbolic descriptions Signup and view all the answers

What happens to image points when the object distance approaches infinity?

They are in focus at a distance of f. Signup and view all the answers

What is the current trend in approaching preprocessing, feature extraction, and classification in machine vision systems?

Employing deep neural networks Signup and view all the answers

What is the term for the range of scene points that are in acceptable focus?

Depth of focus Signup and view all the answers

What is the focus of the 'Fundamentals of Machine Vision' topic in the computer vision course?

Machine vision system architecture Signup and view all the answers

What is the term for the aberration that occurs when light rays from a point form a circle of confusion in the image plane?

Spherical aberration Signup and view all the answers

What is the term for the aberration that occurs when the index of refraction is dependent on the wavelength of light?

Chromatic aberration Signup and view all the answers

What can be used to minimize aberrations in real optical systems?

Multi-lens arrangements Signup and view all the answers

What is the outcome of mixing 2 colors?

Creation of all colors lying on the straight line between the two points in the diagram Signup and view all the answers

What is the difference between additive and subtractive color models?

Additive model mixes light, subtractive mixes pigments Signup and view all the answers

What is the purpose of specifying 'base colors' in the RGB color model?

To specify the primary colors used in the model Signup and view all the answers

What is the drawback of the RGB color model?

It does not separate color information from intensity Signup and view all the answers

What is the result of normalizing the maximum intensity in the RGB color channels to 1?

Creation of the RGB color cube Signup and view all the answers

What is the goal of alternative color models, such as HSI and YUV, in relation to RGB?

To separate color information from intensity Signup and view all the answers

What is a characteristic of linear filters?

They are shift-invariant and satisfy the linear property. Signup and view all the answers

What is the purpose of a filter mask in linear filtering?

To assign weights to each point in the neighborhood. Signup and view all the answers

How is the filter response calculated in linear filtering?

By computing a weighted sum of pixel intensities and mask coefficients. Signup and view all the answers

What is the advantage of using linear filters?

They are simple to implement and computationally efficient. Signup and view all the answers

What is the relationship between the filter mask and the neighborhood size?

The filter mask has the same size as the neighborhood. Signup and view all the answers

What is the result of moving the filter mask over the image?

The filter response is calculated at each point. Signup and view all the answers