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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
技術領域
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, after computing the size of each identified object, the pixel groups of each identified object may be assigned a weight that is proportional to its size. For example, the toy house 728 may be given the largest weight because it is the biggest object. In one illustrative example, the woman 722, the child 724, and the toy truck 729 may all be given the same weight because they are all similar sizes. And the cat 726 may be given the smallest weight because it is the smallest. Other pixel groups not including an identified object may either be given a zero weight or a non-zero weight that is smaller than the smallest weight for an identified object.

In other examples, after computing the size of each identified object, the pixel groups of each identified object may be given a percentage of weight for each pixel group that is identified for the identified object. For example, if each pixel group is worth 0.1 weight, an object with 4 pixel groups would be 0.4 weight. In other examples, the amount of weight each pixel group is worth may be a percentage of the largest object. For example, the largest object may be given a weight of 1. And if that object is 10 pixel groups large, an object with 5 pixel groups may be given 0.5 weight. It should be recognized that other methods for weighing objects based upon size may be used.

For another example, one or more metering weight arrays may be generated, as described in FIG. 2. In one illustrative example, a center metering weight array 770 (similar to the center metering weight array 230) may be generated.

For another example, an eye gaze weight array 790 (similar to the eye gaze weight array 690) may be generated.

權利要求

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