MCQs

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Overall MCQs for Reference

What is computer vision?
a. The study of computer graphics
b. The study of computer networks
c. The study of algorithms for analyzing and interpreting visual data
d. The study of computer hardware architecture
Answer: caimcqs
Which of the following is not a fundamental task in computer vision?
a. Object detection
b. Image classification
c. Speech recognition
d. Image segmentation
Answer: caimcqs
Which technique is commonly used for edge detection in images?
a. Fourier transform
b. Histogram equalization
c. Canny edge detection
d. Gaussian blur
Answer: caimcqs
Which algorithm is commonly used for image classification in computer vision?
a. K-means clustering
b. Decision trees
c. Convolutional Neural Networks (CNN)
d. Support Vector Machines (SVM)
Answer: caimcqs
Which concept is used to represent the transformation from a 3D scene to a 2D image?
a. Perspective projection
b. Affine transformation
c. Euler angles
d. Homography
Answer: aaimcqs
The computer vision program is based on _____.
a. Speaking
b. Reading
c. Understanding voice command
d. Understanding the content of digital images
Answer: dlearncbse
Which one of these is not an example of computer vision?
a. Image classification
b. Speech segmentation
c. Image segmentation
d. Object detection
Answer: blearncbse
The resolution of most images we use is measured in:
a. RGB
b. Pixels
c. Grayscale
d. HSV
Answer: blearncbse
What is the process of finding instances of real-world objects in images or videos?
a. Instance segmentation
b. Object detection
c. Classification
d. Image segmentation
Answer: blearncbse
Which of the following is an open-source computer vision library?
a. SimpleCV
b. OpenCV
c. ComplexCV
d. BoofCV
Answer: blearncbse
Which concept is used to represent local features of an image that are invariant to scale and rotation?
a. Hough transform
b. Histogram of Oriented Gradients (HOG)
c. Scale-invariant feature transform (SIFT)
d. Eigenfaces
Answer: caimcqs
Which technique is used to estimate the camera’s pose and reconstruct the 3D structure of a scene?
a. Depth estimation
b. Stereo vision
c. Structure from Motion (SfM)
d. Texture mapping
Answer: caimcqs
Which technique is commonly used to align two or more images to create a single panoramic image?
a. Image segmentation
b. Template matching
c. Image stitching
d. Image compression
Answer: caimcqs
Which method is used to generate realistic images by learning from a large dataset?
a. GANs (Generative Adversarial Networks)
b. Random Forests
c. K-means clustering
d. Principal Component Analysis (PCA)
Answer: aaimcqs
Which layer in CNN is responsible for increasing the non-linear properties of the trained networks?
a. ReLU
b. Input layer
c. Pooling layer
d. Output layer
Answer: alearncbse
_____ means a picture element which is the smallest unit of information that makes up a picture.
a. Vision
b. Pics
c. Pixel
d. Piskel
Answer: clearncbse
Which of the following tasks in computer vision is used for multiple objects?
a. Classification
b. Classification + Localisation
c. Instance Segmentation
d. Localisation
Answer: clearncbse
Which of the following is an example of image classification in computer vision?
a. Price prediction
b. Photo albums in smartphones
c. Trend setting
d. Facelock in smartphone
Answer: blearncbse
Which algorithm is commonly used for object detection in images?
a. ResNet
b. YOLO
c. GAN
d. PCA
Answer: baimcqs
Which of the following can be used to track objects in video sequences?
a. Active contour models
b. Kalman filter
c. SIFT
d. SURF
Answer: baimcqs
Which technique is used to detect and track facial landmarks in images or videos?
a. Principal Component Analysis (PCA)
b. Optical flow
c. Active Shape Models (ASMs)
d. Histogram of Oriented Gradients (HOG)
Answer: caimcqs
Which method is used to represent colors in digital images?
a. RGB (Red, Green, Blue)
b. HSV (Hue, Saturation, Value)
c. CMYK (Cyan, Magenta, Yellow, Black)
d. All of the above
Answer: daimcqs
Which technique is used to detect and recognize objects based on their geometric shapes?
a. Contour detection
b. Texture analysis
c. Blob detection
d. Edge detection
Answer: aaimcqs
Which algorithm is commonly used for image registration, aligning two or more images?
a. K-means clustering
b. Optical flow
c. SURF (Speeded-Up Robust Features)
d. RANSAC (Random Sample Consensus)
Answer: daimcqs
What does Computer Vision allow machines to do?
a. Read text
b. Hear sounds
c. See through images and process visual data
d. Process audio signals
Answer: cai-cbse
Which method is used for removing noise from images in computer vision?
a. Sharpening
b. Blurring
c. Thresholding
d. Color correction
Answer: baimcqs
Which of these is an example of video analysis application in computer vision?
a. Image stitching
b. Activity recognition
c. Image registration
d. Histogram equalization
Answer: baimcqs
What is the full form of CNN in computer vision?
a. Complex Neural Networks
b. Convolutional Neural Networks
c. Counter Neural Node
d. Computer Numeric Node
Answer: blearncbse
The largest open-source library for computer vision is:
a. TensorFlow
b. Keras
c. OpenCV
d. PyTorch
Answer: clearncbse
What is thresholding mainly used for in image processing?
a. Edge detection
b. Image segmentation
c. Color correction
d. Motion tracking
Answer: baimcqs
Which transform is widely used for feature extraction in facial recognition?
a. Fourier transform
b. Hough transform
c. Eigenfaces
d. SIFT
Answer: caimcqs
Which of these is NOT a commonly used color space in computer vision?
a. RGB
b. CMYK
c. PSI
d. HSV
Answer: clearncbse
Which is the most widely used deep learning architecture for image analysis?
a. GAN
b. CNN
c. DBN
d. RNN
Answer: baimcqs
The smallest addressable element in a digital image is a:
a. Bit
b. Pixel
c. Dot
d. Block
Answer: blearncbse
Which technique helps in correcting image deformation due to lens errors?
a. Image enhancement
b. Camera calibration
c. Image segmentation
d. Texture mapping
Answer: baimcqs
Which technique is used to model background and detect moving objects in videos?
a. Optical flow
b. Background subtraction
c. Blob detection
d. Image stitching
Answer: baimcqs
Which deep learning method is known for image generation tasks?
a. CNN
b. GAN
c. RNN
d. SVM
Answer: baimcqs
Which algorithm is used for clustering objects based on features in an image?
a. Mean shift
b. Canny
c. SIFT
d. Kalman filter
Answer: ascribd
Which term describes the process of capturing an object’s outline?
a. Geometry extraction
b. Edge detection
c. Partitioning
d. Color filtering
Answer: baimcqs
What is histogram equalization used for?
a. Object detection
b. Image enhancement
c. Classification
d. Filtering
Answer: baimcqs
Which computer vision task is essential for augmented reality?
a. Scene understanding
b. Pattern matching
c. Object segmentation
d. Pose estimation
Answer: daimcqs
Optical character recognition in images is an example of:
a. Image classification
b. Object detection
c. Text recognition
d. Image stitching
Answer: caimcqs
In object tracking, which algorithm predicts the future position of a moving object?
a. KNN
b. Kalman filter
c. RANSAC
d. SIFT
Answer: baimcqs
Which process is critical for combining multi-sensor or multi-view images?
a. Image registration
b. Image segmentation
c. Classification
d. Contour detection
Answer: aaimcqs
What is the fundamental task in image segmentation?
a. Assigning pixels to different classes
b. Removing noise
c. Compressing the image
d. Edge detection
Answer: alearncbse
A pixel’s intensity in a grayscale image ranges from:
a. 0 to 1
b. 1 to 10
c. 0 to 255
d. 256 to 1024
Answer: clearncbse
What is scene understanding in computer vision?
a. Classifying images
b. Recognizing objects and their relationships
c. Color correcting
d. Enhancing edges
Answer: baimcqs
Which neural network is typically used for semantic segmentation?
a. CNN
b. Autoencoder
c. RNN
d. LSTM
Answer: aaimcqs
The application of computer vision for biometric identification is:
a. Authentication
b. Object detection
c. Scene understanding
d. Image enhancement
Answer: atestbook
Which innovation advanced the field of deep learning in computer vision significantly in 2012?
a. GAN
b. YOLO
c. AlexNet
d. SIFT
Answer: caimcqs

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