What are the main features that can be detected in an image according to the lecture?
Create a computer vision system using decision tree algorithms to solve a real-world problem : Corner detection – Harris
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1.
OPEN ENDED QUESTION
3 mins • 1 pt
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2.
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3 mins • 1 pt
Explain how edges are identified in an image.
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3.
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3 mins • 1 pt
What is the significance of the kernel in edge detection?
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4.
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3 mins • 1 pt
Describe the process of detecting corners in an image.
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5.
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3 mins • 1 pt
What is Harris corner detection and how does it work?
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6.
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3 mins • 1 pt
What are the limitations of corner detection mentioned in the lecture?
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7.
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How can corner detection be affected by image scaling?
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