Computer Vision

Computer vision is concerned with the theory and technology for building artificial

Computer vision is concerned with the theory and technology for building artificial

Intelligent agents need to acquire knowledge of their world through a set of sensors.

Intelligent agents need to acquire knowledge of their world through a set of sensors.

systems that obtain information from

images.

systems that obtain information from

images.

Applications

• Medical imaging• Industry• Defense• Robotics• Accessibility/Usability

Common Tasks

• Recognition: one or several pre-specified or learned objects or object classes can be recognized.

• Identification: an individual instance of an object is recognized.

• Detection: the image data is scanned for a specific condition.

• Tracking: following the movements of objects (e.g. vehicles or humans).

• Scene reconstruction: computing a 3D model of a scene when given two or more images of that scene.

• Image restoration: removal of noise (sensor noise, motion blur, etc.) from images.

State of the Art

• The field of computer vision can be characterized as immature and diverse.

• There exists an abundance of methods for solving various well-defined computer vision tasks, where the methods often are very task specific and seldom can be generalized over a wide range of applications.

• Many of the methods and applications are still in the state of basic research.