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Techniques for determining settings for a content capture device

專利號
US11968456B2
公開日期
2024-04-23
申請人
Magic Leap, Inc.(US FL Plantation)
發(fā)明人
Brian Keith Smith; Ilya Tsunaev
IPC分類
H04N23/72; H04N5/222; H04N5/265; H04N23/63; H04N23/71; H04N23/73; H04N23/741; H04N23/743; H04N23/76
技術(shù)領(lǐng)域
luma,pixel,image,may,in,be,aec,examples,object,weight
地域: FL FL Plantation

摘要

A method for computing a total weight array includes receiving an image frame captured by a content capture device and identifying a plurality of objects in the image frame. Each object of the plurality of objects corresponds to one of a plurality of pixel groups. The method also includes providing a plurality of neural networks and calculating, for each object of the plurality of objects, an object weight using a corresponding neural network of the plurality of neural networks. The method further includes computing the total weight array by summing the object weight for each of the plurality of objects.

說明書

In some examples, the target luma average may be provided. In such examples, the target luma average may be provided and used until a new target luma average is provided. In other examples, a plurality of target luma averages may be provided for different situations. For example, the target luma average may be slightly higher outside than indoors because it may be brighter outdoors. Accordingly, in some examples, two different target luma averages may be provided or determined: one for indoor and one for outdoor. In other examples, the target luma average may be determined. In such examples, a current physical environment may be determined based upon one or more sensors. For example, the one or more sensors may detect an amount of light in the current physical environment. In some examples, any combination of the one or more settings may be used to determine the target luma value.

FIG. 2 illustrates examples of various metering techniques for weighting luma values. For the various metering techniques, a weight scale 210 has been provided to be a key for particular weights. Each level of the weight scale 210 includes a color that corresponds to a particular weight when included in a weight array. For example, the top box in the weight scale 210 is the darkest color and represents a weight of 1 and the bottom box in the weight scale 210 is the lightest color and represents a weight of 0. While the weight scale 210 appears to linearly change from the top box to the bottom box, it should be appreciated that the weight scale 210 may be different as long as the weight scale 210 is consistent throughout a single image. In some examples, two or more of the metering techniques described below may be combined in a single weight array.

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