A computer vision algorithm refers to a set of mathematical and computational techniques used to enable computers to interpret and understand visual data, such as images or video. These algorithms process visual information to perform tasks such as object recognition, feature matching, image segmentation, and motion detection. Some of the most commonly used computer vision algorithms include edge detection algorithms (e.g., Canny Edge Detector), which identify boundaries within images; feature extraction algorithms (e.g., SIFT and SURF), which extract distinctive points or features from an image for recognition or matching purposes; and object detection algorithms (e.g., Haar Cascades and YOLO), which locate and classify objects within images. For example, an object detection algorithm like YOLO (You Only Look Once) uses deep learning to recognize and label various objects (such as people, cars, or animals) in real-time video. These algorithms are essential for practical applications such as autonomous driving, facial recognition, and industrial automation, where understanding and processing visual information are critical for decision-making and automation.
What is computer vision algorithm?
- Master Video AI
- AI & Machine Learning
- Natural Language Processing (NLP) Advanced Guide
- Exploring Vector Database Use Cases
- Getting Started with Milvus
- All learn series →
Recommended AI Learn Series
VectorDB for GenAI Apps
Zilliz Cloud is a managed vector database perfect for building GenAI applications.
Try Zilliz Cloud for FreeKeep Reading
What are the main components of a knowledge graph?
A knowledge graph is a structured representation of information that connects entities and their relationships in a mean
What are the key goals of Explainable AI?
Explainable AI (XAI) aims to make the decisions and processes of artificial intelligence systems transparent and underst
What is the difference between autoregressive (AR) and moving average (MA) models?
Autoregressive (AR) and Moving Average (MA) models are two types of time series models used in statistics and data analy