Computer vision: Difference between revisions
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# Image Recognition: This is one of the most common applications of computer vision. It involves identifying objects, people, buildings, places, logos, and anything else you can think of in images or videos. | # Image Recognition: This is one of the most common applications of computer vision. It involves identifying objects, people, buildings, places, logos, and anything else you can think of in images or videos. | ||
# Object Detection: This is a more complex task than image recognition. It involves identifying the presence, location, and type of certain objects within an image. | # Object Detection: This is a more complex task than image recognition. It involves identifying the presence, location, and type of certain objects within an image. | ||
# Image Segmentation: This is the process of partitioning an image into multiple segments or "regions of interest," each of which corresponds to different objects or parts of objects. | # Image Segmentation: This is the process of partitioning an image into multiple segments or "regions of interest," each of which corresponds to different objects or parts of objects. | ||
# Motion Analysis: Computer vision can be used to understand the movement of objects within a sequence of images or video. | # Motion Analysis: Computer vision can be used to understand the movement of objects within a sequence of images or video. | ||
# Scene Reconstruction: This involves creating a 3D model of a scene from a series of images. | # Scene Reconstruction: This involves creating a 3D model of a scene from a series of images. | ||
In the context of rescue robots, computer vision is a crucial component that enables the robot to navigate its environment, detect objects or people, understand the nature of its surroundings, and make decisions about how to best perform its rescue tasks. | In the context of rescue robots, computer vision is a crucial component that enables the robot to navigate its environment, detect objects or people, understand the nature of its surroundings, and make decisions about how to best perform its rescue tasks. | ||
Latest revision as of 11:33, 30 May 2023
Computer vision is a subfield of artificial intelligence and computer science that focuses on enabling computers to understand and interpret the visual world. Essentially, it's about teaching computers to "see" and understand digital images or videos.
The way computer vision does this is by taking images or videos, processing them, and then extracting useful information from them. This can involve many different tasks, such as:
- Image Recognition: This is one of the most common applications of computer vision. It involves identifying objects, people, buildings, places, logos, and anything else you can think of in images or videos.
- Object Detection: This is a more complex task than image recognition. It involves identifying the presence, location, and type of certain objects within an image.
- Image Segmentation: This is the process of partitioning an image into multiple segments or "regions of interest," each of which corresponds to different objects or parts of objects.
- Motion Analysis: Computer vision can be used to understand the movement of objects within a sequence of images or video.
- Scene Reconstruction: This involves creating a 3D model of a scene from a series of images.
In the context of rescue robots, computer vision is a crucial component that enables the robot to navigate its environment, detect objects or people, understand the nature of its surroundings, and make decisions about how to best perform its rescue tasks.