Feature Matching
Feature matching process in computer vision is used to find corresponding, similar, identical features or points from one image to across multiple images. The feature matching is performed by using techniques like nearest neighbour search by finding the closest descriptor in one image to the descriptor in another image.
Feature matching is applied for object recognition, image stitching, 3D construction of a scene, motion tracking and in augmented reality. Using feature matching, computer vision systems can establish relationship between images for understanding and analysing visual data.
Computer Vision Tasks
Computer vision is a branch of artificial intelligence that helps computers understand and analyze visual data from digital images, videos, and similar visual inputs. Using digital visual data obtained from various sources, we can teach computers to detect and interpret visual objects. It also plays a critical role in areas such as image recognition and object detection. There are many different tasks that computer vision can perform. In this article, we will discuss computer vision tasks in detail.
Table of Content
- What are computer vision tasks?
- Image Classification
- Object Detection
- Image Segmentation
- Face and Person Recognition
- Edge Detection
- Image Restoration
- Feature Matching
- Scene Reconstruction
- Video Motion Analysis
- Conclusion:
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