Computer Vision Applications: Levels and Techniques

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Questions and Answers

What is the primary purpose of data preprocessing in computer vision?

To gather visual data through various sources such as cameras, images, videos, or sensor data
To resize images and handle missing or corrupt data
To prepare the data for analysis by tasks like normalization and noise reduction (correct)
To eliminate irrelevant objects from the visual data

What is the purpose of outlier detection and removal in the computer vision sub-process pipeline?

To identify distinctive patterns or features within the data
To categorize or label objects within the visual data into predefined classes or categories
To eliminate unwanted elements like blur and artifacts from the data
To identify and eliminate data points that significantly deviate from the norm or may adversely affect analysis (correct)

What does feature extraction involve in computer vision?

Resizing images and normalization
Categorizing or labeling objects within the visual data into predefined classes or categories
Identifying and eliminating data points that deviate from the norm
Identifying distinctive patterns or features within the data that are relevant to the analysis task (correct)

What is the main objective of object recognition in computer vision?

Categorizing or labeling objects within the visual data into predefined classes or categories (D) Signup and view all the answers

What task does semantic understanding involve in computer vision?

Interpreting the context or meaning of visual elements within the scene (D) Signup and view all the answers

In which stage of the computer vision sub-process pipeline is noise removal performed?

Data Preprocessing (D) Signup and view all the answers

What is involved in feature description in computer vision?

Assigning descriptors or representations to the detected features to enable their recognition and comparison (B) Signup and view all the answers

What is object recognition in computer vision primarily concerned with?

Categorizing or labeling objects within visual data into predefined classes or categories (B) Signup and view all the answers

What is involved in outlier detection and removal in computer vision?

Identifying and eliminating data points that significantly deviate from the norm or may adversely affect analysis. (C) Signup and view all the answers