Low complexity auto-exposure control for computer vision and imaging systems

作者: Victor Chan

DOI:

关键词: Feature (computer vision)Computer visionExposure controlSet (abstract data type)Image (mathematics)Automatic exposure controlValue (computer science)Digital imageArtificial intelligenceComputer scienceMeasure (mathematics)

摘要: Methods, apparatuses, computer-readable medium, and systems are disclosed for performing automatic exposure control (AEC). In one embodiment, a first digital image is captured while applying set of values to or more parameters. At least computer vision (CV) operation performed using data from the image, thereby generating CV features possible features. A mask obtained comprising value each feature Using mask, measure abundance relevant among extracted image. Based on features, an updated generated parameters capturing subsequent scene.

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