Câu hỏi gốc môn CPV301

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

20 kết quả phù hợp nhất

Which type of information does Optical Flow NOT provide?

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In a ........., the line detector operator consists of a convolution mask tuned to detect the presence of lines of a particular width n and a θ orientation. Choose the best correct answer.

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What is not true about image stitching?

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.... is the process of dividing an image into different regions based on the characteristics of pixels to identify objects or boundaries, simplify an image, and analyze it more efficiently. Choose the best correct answer.

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The lower limit of the dynamic range ratio can be determined by

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Edge detection is a technique widely used in image processing, as well as computer vision. It reduces the amount of data in an image and preserves the structural properties of an image. So what do you understand about edge detection?

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Cylindrical projection is used if the camera is level and we have only rotation around its vertical axis.

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What does RANSAC stand for in the context of computer vision?

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What is the key idea behind the RANSAC algorithm for 2D alignment?

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The dynamic range of the imaging system is a quantitative relation where the upper limit can be determined by _____

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Suppose we have two images at two different times: I(x,y,t) and I(x,y,t+1). How can we estimate pixel motion from image I(x,y,t) to I(x,y,t+1)?

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Choose the best description of the Hough transform.

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Object detection methods have two approaches. In the non-neural approach, which is widely used in computer vision, which of the following algorithms belongs to the category of non-neural approach?

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...... are probabilistic models and use the soft clustering approach for distributing the points in different clusters.

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Hough transform is used to recognize complex lines in photographs. How do you understand Hough transform?

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Edge detection is a technique widely used in medical image processing and automatic traffic control systems. Edge detection is divided into two basic types: the first is a gradient-based operator, which computes first-order derivatives in a digital image. Which of the following algorithms belongs to this type?

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Choose the best description of Mean Shift segmentation.

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There are many applications for image alignment, such as tracking objects on video, motion analysis, and many other tasks of computer vision. How do you understand image alignment?

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When the Fourier transform is used, the values of the properties are also transformed accordingly. What is the result of the Fourier transform applied to convolution f(x) * h(x)?

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Choosing the positions of K centroids is very important. How is the initial value of K centroid positions calculated? Choose the best answer.

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Câu hỏi gốc môn CPV301

Which type of information does Optical Flow NOT provide?

In a ........., the line detector operator consists of a convolution mask tuned to detect the presence of lines of a particular width n and a θ orientation. Choose the best correct answer.

What is not true about image stitching?

.... is the process of dividing an image into different regions based on the characteristics of pixels to identify objects or boundaries, simplify an image, and analyze it more efficiently. Choose the best correct answer.

The lower limit of the dynamic range ratio can be determined by

Edge detection is a technique widely used in image processing, as well as computer vision. It reduces the amount of data in an image and preserves the structural properties of an image. So what do you understand about edge detection?

Cylindrical projection is used if the camera is level and we have only rotation around its vertical axis.

What does RANSAC stand for in the context of computer vision?

What is the key idea behind the RANSAC algorithm for 2D alignment?

The dynamic range of the imaging system is a quantitative relation where the upper limit can be determined by _____

Suppose we have two images at two different times: I(x,y,t) and I(x,y,t+1). How can we estimate pixel motion from image I(x,y,t) to I(x,y,t+1)?

Choose the best description of the Hough transform.

Object detection methods have two approaches. In the non-neural approach, which is widely used in computer vision, which of the following algorithms belongs to the category of non-neural approach?

...... are probabilistic models and use the soft clustering approach for distributing the points in different clusters.

Hough transform is used to recognize complex lines in photographs. How do you understand Hough transform?

Choose the best description of Mean Shift segmentation.

There are many applications for image alignment, such as tracking objects on video, motion analysis, and many other tasks of computer vision. How do you understand image alignment?

When the Fourier transform is used, the values of the properties are also transformed accordingly. What is the result of the Fourier transform applied to convolution f(x) * h(x)?

Choosing the positions of K centroids is very important. How is the initial value of K centroid positions calculated? Choose the best answer.