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I'm new to computer vision and have been researching for Master thesis purposes in Detection algorithms and the techniques used in each. As I arrived to the point where alot of papers showed the importance of color in object recognition, i got got bumped with HLC MDST and CSS. So my question is : are they all literlally a way to describe the distribution of the color in an image? If yes I would be glad for a brief explanation ,what does each of them do, and a dedicated source link for that is available would be great. The three methods are briefly viewed in Qingyuan Wang1's work."Justifying the importance of color cues in object detection: a case study on pedestrian"

Thanks in advance

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  • $\begingroup$ @rayryeng maybe you could help :) $\endgroup$
    – Khaled
    Jul 13 '20 at 10:53

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