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Feature Detection QUIZ (MCQ QUESTIONS AND ANSWERS)

Total Correct: 0

Time:20:00

Question: 1

Which feature detection algorithm is often used in image stitching applications to find overlapping regions in images?

Question: 2

What is the main goal of image feature detection and description in computer vision?

Question: 3

Which feature detection algorithm is known for its resistance to noise and is used for detecting key points in images?

Question: 4

What is the primary objective of the RANSAC (Random Sample Consensus) algorithm in computer vision?

Question: 5

Which feature detection and description technique is used for characterizing the local intensity variations in an image by analyzing the gradients?

Question: 6

Which feature detection algorithm is known for its robustness to image transformations and changes in lighting conditions?

Question: 7

What does the acronym "BRIEF" stand for in computer vision?

Question: 8

Which algorithm is suitable for detecting interest points in an image and is used in feature matching for object tracking and image stitching?

Question: 9

In image processing, what term is used to describe the process of finding distinctive regions in an image that can be used for matching or recognition?

Question: 10

Which feature descriptor is used to capture the local patterns and relationships between pixels in an image?

Question: 11

What is the main advantage of using a binary feature descriptor, such as BRIEF, in feature detection?

Question: 12

In computer vision, what is the "scale-invariance" property of a feature descriptor?

Question: 13

Which descriptor is commonly used in object recognition to represent the local spatial arrangement of gradients in an image?

Question: 14

Which feature detection algorithm is known for its simplicity and efficiency in finding corner-like features?

Question: 15

Which algorithm is commonly used for detecting and matching keypoints in a pair of images to find the perspective transformation between them?

Question: 16

What is the primary purpose of the Canny edge detector in image processing?

Question: 17

Which of the following is a common feature descriptor used for texture analysis in images?

Question: 18

What is the primary advantage of using the FAST (Features from Accelerated Segment Test) algorithm for feature detection?

Question: 19

Which feature detection and description algorithm is known for its invariance to rotation and scaling?

Question: 20

What is the primary goal of feature detection in computer vision?

Question: 21

Which technique is used to extract local texture information from an image and is often used in texture classification?

Question: 22

Which of the following algorithms is often used for matching key points between two images and finding correspondences?

Question: 23

What is the primary purpose of the Harris Corner Detector in computer vision?

Question: 24

Which feature detection and description algorithm is particularly well-suited for tracking objects in video sequences?

Question: 25

What is the main purpose of a feature descriptor in computer vision?

Question: 26

Which descriptor is often used in combination with the SIFT algorithm for feature matching and object recognition?

Question: 27

What is the main advantage of using the ORB (Oriented FAST and Rotated BRIEF) algorithm for feature detection?

Question: 28

Which algorithm is known for its ability to detect corners in images and is used in many feature detection applications?

Question: 29

What does the acronym "SURF" stand for in computer vision?

Question: 30

Which of the following techniques is used for image smoothing and reducing noise in images?