Computer Vision is a subfield of artificial intelligence. The purpose of computer vision is to program a computer to "understand" a scene or features in an image.

Typical goals of computer vision include:

• The detection, segmentation, location, and recognition of certain objects in images (e.g., human faces)
• The evaluation of results (e.g., segmentation, registration)
• Registration of different views of the same scene or object
• Tracking an object through an image sequence
• Mapping a scene to a three-dimensional model of the scene; such a model might be used by a robot to navigate the imaged scene
• Estimation of the three-dimensional poses of humans and their limbs
• Searching for digital images by their contents (content-based image retrieval)

These goals are achieved by means of pattern recognition, statistical learning, projective geometry, image processing, graph theory and other fields. Cognitive computer vision is strongly related to cognitive psychology and biological computation .

In the related fields machine vision and medical imaging, systems using computer vision techniques are sold in markets worth billions of US dollars per year.

One interesting application of computer vision, commonly used in the creation of visual effects for cinema and broadcast, is camera tracking or matchmoving.

See also

• artificial intelligence
• image processing, digital image processing
• machine vision
• medical imaging
• morphological image processing
• Herbert Freeman
• David Marr
• Jerome Lemelson
• Affective computing
• Important publications in computer vision

External links

• The Computer Vision Homepage
• On-Line Compendium of Computer Vision
• Keith Price's Annotated Computer Vision Bibliography