1. Q1. Which of the following object recognition process is an error-prone process?
(A) Top-down segmentation
(B) Bottom-up segmentation
(C) Both A and B
(D) None of these
2. Q2. Which of the following can be deformed into alignment with the help of simple coordinate transformations?
(A) Matching
(B) Feature
(C) Deformable matching
(D) All of these
3. Q3. Which of the following provides a facility of a framework for studying object recognition?
(A) Supervised learning
(B) Unsupervised learning
(C) Learning
(D) None of these
4. Q4. Which of the following explains the coarse arrangement of the rest of the shape according to the point?
(A) Shape
(B) Shape context
(C) Context
(D) None of these
5. Q5. How can we define the distance between two shapes?
(A) Shape context
(B) Size of the shape
(C) The weighted sum of the shape
(D) None of these
6. Q6. Which of the following can be represented by using histograms or empirical frequency distributions?
(A) Words
(B) Color
(C) Texture
(D) Both B and C
7. Q7. Which of the following is the only way to understand the different kinds of faces of persons?
(A) Perception
(B) Speech
(C) Learning
(D) Hearing
8. Q8. Which of the following supports people to identify animals, people, and inanimate objects reliably?
(A) Speech
(B) Hear
(C) Vision
(D) Perception
9. Q9. Total types of recognition in artificial intelligence are?
(A) 3
(B) 2
(C) 5
(D) 4
10. Q10. Which of the following are recognized by vision?
(A) Objects
(B) Activities
(C) Motion
(D) Both A and B