[IP3-2] [AI2] Computer vision in EO

Image understanding is part of computer vision. Computer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to automate tasks that the human visual system can perform.

Explanation

External resources

• Dana H. Ballard , Christopher M. Brown (1982). Computer Vision. Prentice Hall. ISBN 978-0-13-165316-0.

Learning outcomes

• 2301 - Explain how computer vision imitates the human visual system when interpreting EO images

  Explain how computer vision imitates the human visual system when interpreting EO images

Self assessment

Outgoing relations

• [IP3-2] [AI2] Computer vision in EO is subconcept of [--AI--] [IP3] Image understanding
• [IP3-2] [AI2] Computer vision in EO is subconcept of [GC3] [AI] [IP3-2-1] Artificial intelligence (AI) in EO and GI
• [IP3-2] [AI2] Computer vision in EO is subconcept of [IP3] Image understanding

Incoming relations

• [AI2-4] Object features is subconcept of [IP3-2] [AI2] Computer vision in EO
• [IP3-6] [AI2-3] Kernel analysis (convolution) is subconcept of [IP3-2] [AI2] Computer vision in EO
• [AI2-4-1] Geometric object features is subconcept of [IP3-2] [AI2] Computer vision in EO
• [IP3-2-2] [AI1-2] Information theory is subconcept of [IP3-2] [AI2] Computer vision in EO
• [IP3-2-3] Keypoint detection is subconcept of [IP3-2] [AI2] Computer vision in EO
• [IP3-5] [AI2-2] Image segmentation is subconcept of [IP3-2] [AI2] Computer vision in EO