Câu hỏi gốc môn CPV301

273 câu gốc, sắp theo số đề từng chứa câu đó.

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How do you understand object detection?

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A convolution-based technique is used to detect lines. Here are the four convolution masks to detect horizontal, vertical, and oblique lines in an image. What is the specific value of the oblique angle in degrees?

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Choose the best description of computer vision.

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Choose the best description of an image histogram.

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What do the components of a pixel include?

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Choose the best answer about a 2D point.

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Object tracking takes an approach that uses point tracking techniques. So how is the approach to using point tracking understood? Choose the best answer.

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It is the motion of objects between consecutive frames of the sequence, caused by the relative movement between the object and camera. What is the exact name of this process?

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What is the input for computer vision?

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What characterizes mirror-like reflection?

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How is an "illumination model" formed?

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What is a common cause of distortion in camera images?

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When designing your own kernel for edge detection, what is an important consideration when choosing the weights within the kernel?

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What is the effect of shifting a signal in the time domain on its Fourier transform?

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If we want to draw a shape and fill it inside, we must write:

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In Fourier transform, which of the following operators in the signal domain becomes the product operator of individual transformed functions in the transformed signal domain?

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How can we compute convolution using correlation?

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Which of the following algorithms distributes the intensity of an image across the entire intensity range?

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How does the scale-invariance property benefit feature detection and matching algorithms?

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What is a key advantage of the Canny algorithm compared to simpler edge detection methods?

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Câu hỏi gốc môn CPV301

How do you understand object detection?

A convolution-based technique is used to detect lines. Here are the four convolution masks to detect horizontal, vertical, and oblique lines in an image. What is the specific value of the oblique angle in degrees?

Choose the best description of computer vision.

Choose the best description of an image histogram.

What do the components of a pixel include?

Choose the best answer about a 2D point.

Object tracking takes an approach that uses point tracking techniques. So how is the approach to using point tracking understood? Choose the best answer.

It is the motion of objects between consecutive frames of the sequence, caused by the relative movement between the object and camera. What is the exact name of this process?

What is the input for computer vision?

What characterizes mirror-like reflection?

How is an "illumination model" formed?

What is a common cause of distortion in camera images?

When designing your own kernel for edge detection, what is an important consideration when choosing the weights within the kernel?

What is the effect of shifting a signal in the time domain on its Fourier transform?

If we want to draw a shape and fill it inside, we must write:

In Fourier transform, which of the following operators in the signal domain becomes the product operator of individual transformed functions in the transformed signal domain?

How can we compute convolution using correlation?

Which of the following algorithms distributes the intensity of an image across the entire intensity range?

How does the scale-invariance property benefit feature detection and matching algorithms?

What is a key advantage of the Canny algorithm compared to simpler edge detection methods?