Automatic classification and color enhancement of a markable surface

A method performed by a computer system executing machine-readable instructions, the method comprising acts of:

• receiving an image of a detected quadrangular object having a marking surface;
• processing features obtained as related to image capture of the quadrangular object for detection of a background image and a foreground image of the marking surface;
• performing classification of the quadrangular object based on the features, using a machine learning system;
• computing if the quadrangular object is a markable board based on the classification;
• and
• configuring a processor to perform at least one of the acts of receiving, processing, performing, or computing.

A method performed by a computer system executing machine-readable instructions, the method comprising acts of:

• receiving an image of a quadrangular object having a marking surface and marks on the marking surface;
• estimating a background image based on the marking surface and the marks based on a uniformity of color over entirety of the marking surface;
• differentiating luminance of the marks from the color of the background image;
• obtaining features as related to image capture of the quadrangular object to differentiate the quadrangular object from other quadrangular objects;
• performing classification of the quadrangular object based on processing of the features using a machine-learning classifier;
• computing if the quadrangular object is a whiteboard based on the classification;
• and
• configuring a processor to perform at least one of the acts of receiving, estimating, differentiating, obtaining, performing, or computing.