Compares a face in the source input image with each of the 100 largest faces detected in the target input image.
See https://www.paws-r-sdk.com/docs/rekognition_compare_faces/ for full documentation.
rekognition_compare_faces(
SourceImage,
TargetImage,
SimilarityThreshold = NULL,
QualityFilter = NULL
)[required] The input image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
If you are using an AWS SDK to call Amazon Rekognition, you might not
need to base64-encode image bytes passed using the Bytes field. For
more information, see Images in the Amazon Rekognition developer guide.
[required] The target image as base64-encoded bytes or an S3 object. If you use the AWS CLI to call Amazon Rekognition operations, passing base64-encoded image bytes is not supported.
If you are using an AWS SDK to call Amazon Rekognition, you might not
need to base64-encode image bytes passed using the Bytes field. For
more information, see Images in the Amazon Rekognition developer guide.
The minimum level of confidence in the face matches that a match must
meet to be included in the FaceMatches array.
A filter that specifies a quality bar for how much filtering is done to
identify faces. Filtered faces aren't compared. If you specify AUTO,
Amazon Rekognition chooses the quality bar. If you specify LOW,
MEDIUM, or HIGH, filtering removes all faces that don’t meet the
chosen quality bar. The quality bar is based on a variety of common use
cases. Low-quality detections can occur for a number of reasons. Some
examples are an object that's misidentified as a face, a face that's too
blurry, or a face with a pose that's too extreme to use. If you specify
NONE, no filtering is performed. The default value is NONE.
To use quality filtering, the collection you are using must be associated with version 3 of the face model or higher.