Which technique is used to extract features from images in Computer Vision?
a) Principal Component Analysis
b) Support Vector Machine
c) Convolutional Neural Network
d) Linear Regression
Answer: c
What does CNN stand for in the context of Computer Vision?
a) Complex Neural Network
b) Convex Neural Network
c) Convolutional Neural Network
d) Complete Neural Network
Answer: c
What is the primary task of edge detection in Computer Vision?
a) Segmenting objects
b) Enhancing image contrast
c) Identifying object boundaries
d) Denoising images
Answer: c
Which algorithm is commonly used for image segmentation?
a) K-Means Clustering
b) Linear Regression
c) Decision Trees
d) Support Vector Machines
Answer: a
Which feature descriptor is commonly used for matching keypoints in images?
a) Histogram of Oriented Gradients (HOG)
b) Scale-Invariant Feature Transform (SIFT)
c) Convolutional Neural Network (CNN)
d) Principal Component Analysis (PCA)
Answer: b
What does ROI stand for in the context of Computer Vision?
a) Region of Identity
b) Region of Inference
c) Region of Interest
d) Recognition of Image
Answer: c
Which transformation is used to correct distortions in images caused by the camera lens?
a) Affine transformation
b) Perspective transformation
c) Rotation transformation
d) Translation transformation
Answer: b
What is the purpose of data augmentation in Computer Vision?
a) To reduce overfitting
b) To increase the size of the dataset
c) To improve model performance
d) To decrease model complexity
Answer: a
Which layer is typically used for downsampling in Convolutional Neural Networks?
a) Convolutional layer
b) Pooling layer
c) Activation layer
d) Fully connected layer
Answer: b
Which activation function is commonly used in Convolutional Neural Networks?
a) Sigmoid
b) Tanh
c) ReLU
d) Softmax
Answer: c
What is the purpose of the softmax function in Computer Vision?
a) To compute the mean of the output
b) To normalize the output probabilities
c) To perform gradient descent
d) To activate the neurons in the network
Answer: b
Which metric is commonly used to evaluate object detection algorithms?
a) Mean Absolute Error (MAE)
b) Mean Squared Error (MSE)
c) Intersection over Union (IoU)
d) F1 Score
Answer: c
What is the purpose of Non-Maximum Suppression (NMS) in object detection?
a) To reduce the number of false positives
b) To increase the recall of the model
c) To improve the precision of the model
d) To speed up the inference process
Answer: a
Which technique is used to generate captions for images?
a) Recurrent Neural Networks (RNNs)
b) Decision Trees
c) Support Vector Machines (SVMs)
d) K-Nearest Neighbors (KNN)
Answer: a
What is the primary task of semantic segmentation in Computer Vision?
a) Classifying objects in images
b) Detecting object boundaries
c) Identifying objects and their boundaries
d) Segmenting objects based on categories
Answer: a
Which technique is used for depth estimation in stereo vision?
a) Histogram Equalization
b) Optical Flow
c) Disparity Map
d) Laplacian Pyramid
Answer: c
Which algorithm is commonly used for object detection in images?
a) YOLO (You Only Look Once)
b) K-Means Clustering
c) Linear Regression
d) Principal Component Analysis (PCA)
Answer: a
What is the purpose of image registration in Computer Vision?
a) To enhance image resolution
b) To align images from different viewpoints
c) To compress images
d) To remove noise from images
Answer: b
Which method is used for feature extraction in SIFT (Scale-Invariant Feature Transform)?
a) Gradient Magnitude and Orientation
b) Histogram of Oriented Gradients (HOG)
c) Eigenvalue Decomposition
d) Principal Component Analysis (PCA)
Answer: a
Which technique is used to identify and track objects in a video sequence?
a) Optical Flow
b) Principal Component Analysis (PCA)
c) Histogram Equalization
d) Disparity Map
Answer: a
Which approach is used to estimate the pose of objects in Computer Vision?
a) Direct Linear Transformation (DLT)
b) Principal Component Analysis (PCA)
c) Histogram Equalization
d) Optical Flow
Answer: a
Which method is commonly used for image classification?
a) Template Matching
b) Histogram Equalization
c) Convolutional Neural Networks (CNNs)
d) Mean Shift
Answer: c
What is the primary goal of image denoising techniques?
a) To reduce image resolution
b) To remove noise from images
c) To increase image contrast
d) To segment objects in images
Answer: b
Which technique is used to extract texture features from images?
a) Principal Component Analysis (PCA)
b) Histogram Equalization
c) Local Binary Patterns (LBP)
d) Histogram of Oriented Gradients (HOG)
Answer: c
Which technique is used to estimate the pose of a camera in Computer Vision?
a) Optical Flow
b) Structure from Motion (SfM)
c) Histogram Equalization
d) Template Matching
Answer: b
What is the primary task of optical character recognition (OCR)?
a) Identifying and extracting text from images
b) Recognizing objects in images
c) Classifying images based on content
d) Generating captions for images
Answer: a
Which algorithm is commonly used for image segmentation?
a) Mean Shift
b) Mean Filter
c) K-Means Clustering
d) Histogram Equalization
Answer: c
Which technique is used to align images for panorama stitching?
a) Principal Component Analysis (PCA)
b) Scale-Invariant Feature Transform (SIFT)
c) Histogram Equalization
d) Template Matching
Answer: b
What is the purpose of the Hough Transform in Computer Vision?
a) To detect edges in images
b) To extract texture features from images
c) To segment objects in images
d) To detect shapes in images
Answer: d
Which technique is used to estimate the motion of objects in a video sequence?
a) Optical Flow
b) Mean Shift
c) Histogram Equalization
d) Template Matching
Answer: a
What does R-CNN stand for in the context of object detection?
a) Recurrent Convolutional Neural Network
b) Region-based Convolutional Neural Network
c) Random Convolutional Neural Network
d) Recursive Convolutional Neural Network
Answer: b
Which technique is used for super-resolution in Computer Vision?
a) Principal Component Analysis (PCA)
b) Mean Shift
c) Laplacian Pyramid
d) Wavelet Transform
Answer: c
What is the primary task of saliency detection in Computer Vision?
a) Identifying regions of interest in images
b) Removing noise from images
c) Enhancing image contrast
d) Segmenting objects in images
Answer: a
Which technique is used to estimate the depth of objects in images?
a) Disparity Map
b) Optical Flow
c) Mean Shift
d) Histogram Equalization
Answer: a
What is the primary goal of feature matching in Computer Vision?
a) To identify and track objects in images
b) To align images for panorama stitching
c) To remove noise from images
d) To recognize objects in images
Answer: b
Which technique is used for object tracking in Computer Vision?
a) Template Matching
b) Histogram Equalization
c) Scale-Invariant Feature Transform (SIFT)
d) Mean Shift
Answer: d
What is the primary task of image thresholding in Computer Vision?
a) Enhancing image contrast
b) Removing noise from images
c) Segmenting objects in images
d) Detecting edges in images
Answer: c
Which technique is used for image inpainting?
a) Histogram Equalization
b) Mean Shift
c) Patch-based Synthesis
d) Disparity Map
Answer: c
What is the primary purpose of feature extraction in Computer Vision?
a) To reduce image resolution
b) To remove noise from images
c) To represent images using meaningful features
d) To segment objects in images
Answer: c
Which technique is used to estimate the optical flow in a video sequence?
a) Disparity Map
b) Histogram Equalization
c) Lucas-Kanade Method
d) Mean Shift
Answer: c
What is the primary task of image registration in Computer Vision?
a) Enhancing image contrast
b) Aligning images from different viewpoints
c) Removing noise from images
d) Segmenting objects in images
Answer: b
Which technique is used to generate depth maps from stereo images?
a) Optical Flow
b) Disparity Map
c) Histogram Equalization
d) Mean Shift
Answer: b
What is the primary purpose of image morphing in Computer Vision?
a) To create panoramic images
b) To remove noise from images
c) To interpolate between two images
d) To enhance image contrast
Answer: c
Which technique is used for object recognition in images?
a) Histogram Equalization
b) Scale-Invariant Feature Transform (SIFT)
c) Mean Shift
d) Template Matching
Answer: b
What is the primary task of image deblurring techniques?
a) Removing noise from images
b) Enhancing image contrast
c) Restoring blurred details in images
d) Segmenting objects in images
Answer: c
Which technique is used for image segmentation?
a) Principal Component Analysis (PCA)
b) Mean Shift
c) K-Means Clustering
d) Histogram Equalization
Answer: c
What is the primary purpose of image fusion techniques?
a) To combine multiple images into a single image
b) To enhance image resolution
c) To remove noise from images
d) To segment objects in images
Answer: a
Which technique is used to estimate the pose of objects in 3D space?
a) Optical Flow
b) Structure from Motion (SfM)
c) Histogram Equalization
d) Template Matching
Answer: b
What is the primary task of image compression techniques?
a) Enhancing image quality
b) Reducing the file size of images
c) Removing noise from images
d) Aligning images from different viewpoints
Answer: b
Which technique is used to estimate the surface normals of objects in images?
a) Optical Flow
b) Histogram Equalization
c) Shape-from-Shading
d) Template Matching
Answer: c
