CAP 4410
Computer Vision
Midterms Exam Review (Qns & Ans)
2025
1. Which of the following algorithms is commonly used for
feature detection in images?
A. Dijkstra's Algorithm
B. Harris Corner Detector
C. AES Encryption Algorithm
D. Insertion Sort
- ANS: B. Harris Corner Detector
- Rationale: The Harris Corner Detector is a widely used
algorithm for detecting corners in images, which are critical
features in computer vision.
©2025
,2. In computer vision, which method is employed for object
detection in real-time systems?
A. Support Vector Machines (SVM)
B. YOLO (You Only Look Once)
C. Decision Trees
D. Breadth-First Search
- ANS: B. YOLO (You Only Look Once)
- Rationale: YOLO is a state-of-the-art, real-time object
detection system widely used in computer vision applications.
3. What is the primary purpose of a convolutional layer in
convolutional neural networks (CNNs)?
A. To reduce overfitting in models
B. To perform feature extraction from images
C. To classify images into categories
D. To increase dataset size via augmentation
- ANS: B. To perform feature extraction from images
- Rationale: Convolutional layers scan images to identify and
extract features, such as edges, textures, or patterns.
©2025
, 4. Which technique is used to reduce the dimensionality of
features in computer vision applications?
A. K-Means Clustering
B. Principal Component Analysis (PCA)
C. Genetic Algorithms
D. Depth-First Search
- ANS: B. Principal Component Analysis (PCA)
- Rationale: PCA is commonly used to reduce the feature
space while retaining most of the critical information.
5. In stereo vision, what is the 'disparity' value used for?
A. Object classification
B. Measuring the difference between two stereo images
C. Enhancing texture resolution
D. Training convolutional layers
- ANS: B. Measuring the difference between two stereo
images
- Rationale: Disparity refers to the pixel difference between
corresponding points in stereo images, which is used to calculate
depth.
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©2025
Computer Vision
Midterms Exam Review (Qns & Ans)
2025
1. Which of the following algorithms is commonly used for
feature detection in images?
A. Dijkstra's Algorithm
B. Harris Corner Detector
C. AES Encryption Algorithm
D. Insertion Sort
- ANS: B. Harris Corner Detector
- Rationale: The Harris Corner Detector is a widely used
algorithm for detecting corners in images, which are critical
features in computer vision.
©2025
,2. In computer vision, which method is employed for object
detection in real-time systems?
A. Support Vector Machines (SVM)
B. YOLO (You Only Look Once)
C. Decision Trees
D. Breadth-First Search
- ANS: B. YOLO (You Only Look Once)
- Rationale: YOLO is a state-of-the-art, real-time object
detection system widely used in computer vision applications.
3. What is the primary purpose of a convolutional layer in
convolutional neural networks (CNNs)?
A. To reduce overfitting in models
B. To perform feature extraction from images
C. To classify images into categories
D. To increase dataset size via augmentation
- ANS: B. To perform feature extraction from images
- Rationale: Convolutional layers scan images to identify and
extract features, such as edges, textures, or patterns.
©2025
, 4. Which technique is used to reduce the dimensionality of
features in computer vision applications?
A. K-Means Clustering
B. Principal Component Analysis (PCA)
C. Genetic Algorithms
D. Depth-First Search
- ANS: B. Principal Component Analysis (PCA)
- Rationale: PCA is commonly used to reduce the feature
space while retaining most of the critical information.
5. In stereo vision, what is the 'disparity' value used for?
A. Object classification
B. Measuring the difference between two stereo images
C. Enhancing texture resolution
D. Training convolutional layers
- ANS: B. Measuring the difference between two stereo
images
- Rationale: Disparity refers to the pixel difference between
corresponding points in stereo images, which is used to calculate
depth.
---
©2025
