com.amazonaws.services.rekognition.model

Class CompareFacesRequest

java.lang.Object

com.amazonaws.AmazonWebServiceRequest

com.amazonaws.services.rekognition.model.CompareFacesRequest

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable

public class CompareFacesRequest
extends AmazonWebServiceRequest
implements java.io.Serializable

Compares a face in the source input image with each of the 100 largest faces detected in the target input image.

If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image.

You pass the input and target images either as base64-encoded image bytes or as references to images in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes isn't supported. The image must be formatted as a PNG or JPEG file.

In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match.

By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You can change this value by specifying the SimilarityThreshold parameter.

CompareFaces also returns an array of faces that don't match the source image. For each face, it returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns information about the face in the source image, including the bounding box of the face and confidence value.

The QualityFilter input parameter allows you to filter out detected faces that don’t meet a required quality bar. The quality bar is based on a variety of common use cases. Use QualityFilter to set the quality bar by specifying LOW, MEDIUM, or HIGH. If you do not want to filter detected faces, specify NONE. The default value is NONE.

If the image doesn't contain Exif metadata, CompareFaces returns orientation information for the source and target images. Use these values to display the images with the correct image orientation.

If no faces are detected in the source or target images, CompareFaces returns an InvalidParameterException error.

This is a stateless API operation. That is, data returned by this operation doesn't persist.

For an example, see Comparing Faces in Images in the Amazon Rekognition Developer Guide.

This operation requires permissions to perform the rekognition:CompareFaces action.

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
CompareFacesRequest() Default constructor for CompareFacesRequest object.
CompareFacesRequest(Image sourceImage, Image targetImage) Constructs a new CompareFacesRequest object.

Method Summary

Modifier and Type	Method and Description
boolean	equals(java.lang.Object obj)
java.lang.String	getQualityFilter() A filter that specifies a quality bar for how much filtering is done to identify faces.
java.lang.Float	getSimilarityThreshold() The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.
Image	getSourceImage() The input image as base64-encoded bytes or an S3 object.
Image	getTargetImage() The target image as base64-encoded bytes or an S3 object.
int	hashCode()
void	setQualityFilter(QualityFilter qualityFilter) A filter that specifies a quality bar for how much filtering is done to identify faces.
void	setQualityFilter(java.lang.String qualityFilter) A filter that specifies a quality bar for how much filtering is done to identify faces.
void	setSimilarityThreshold(java.lang.Float similarityThreshold) The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.
void	setSourceImage(Image sourceImage) The input image as base64-encoded bytes or an S3 object.
void	setTargetImage(Image targetImage) The target image as base64-encoded bytes or an S3 object.
java.lang.String	toString() Returns a string representation of this object; useful for testing and debugging.
CompareFacesRequest	withQualityFilter(QualityFilter qualityFilter) A filter that specifies a quality bar for how much filtering is done to identify faces.
CompareFacesRequest	withQualityFilter(java.lang.String qualityFilter) A filter that specifies a quality bar for how much filtering is done to identify faces.
CompareFacesRequest	withSimilarityThreshold(java.lang.Float similarityThreshold) The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.
CompareFacesRequest	withSourceImage(Image sourceImage) The input image as base64-encoded bytes or an S3 object.
CompareFacesRequest	withTargetImage(Image targetImage) The target image as base64-encoded bytes or an S3 object.

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

clone, getCloneRoot, getCloneSource, getGeneralProgressListener, getRequestClientOptions, getRequestCredentials, getRequestMetricCollector, setGeneralProgressListener, setRequestCredentials, setRequestMetricCollector, withGeneralProgressListener, withRequestMetricCollector

Methods inherited from class java.lang.Object

getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

CompareFacesRequest

public CompareFacesRequest()

Default constructor for CompareFacesRequest object. Callers should use the setter or fluent setter (with...) methods to initialize any additional object members.

CompareFacesRequest

public CompareFacesRequest(Image sourceImage,
                           Image targetImage)

Constructs a new CompareFacesRequest object. Callers should use the setter or fluent setter (with...) methods to initialize any additional object members.

Parameters:

sourceImage -

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.

targetImage -

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.

Method Detail

getSourceImage

public Image getSourceImage()

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.

Returns:

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.

setSourceImage

public void setSourceImage(Image sourceImage)

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.

Parameters:

sourceImage -

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.

withSourceImage

public CompareFacesRequest withSourceImage(Image sourceImage)

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.

Returns a reference to this object so that method calls can be chained together.

Parameters:

sourceImage -

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.

Returns:

A reference to this updated object so that method calls can be chained together.

getTargetImage

public Image getTargetImage()

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.

Returns:

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.

setTargetImage

public void setTargetImage(Image targetImage)

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.

Parameters:

targetImage -

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.

withTargetImage

public CompareFacesRequest withTargetImage(Image targetImage)

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.

Returns a reference to this object so that method calls can be chained together.

Parameters:

targetImage -

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.

Returns:

A reference to this updated object so that method calls can be chained together.

getSimilarityThreshold

public java.lang.Float getSimilarityThreshold()

The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.

Constraints:
Length: 0 - 100

Returns:

The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.

setSimilarityThreshold

public void setSimilarityThreshold(java.lang.Float similarityThreshold)

The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.

Constraints:
Length: 0 - 100

Parameters:

similarityThreshold -

The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.

withSimilarityThreshold

public CompareFacesRequest withSimilarityThreshold(java.lang.Float similarityThreshold)

The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.

Returns a reference to this object so that method calls can be chained together.

Constraints:
Length: 0 - 100

Parameters:

similarityThreshold -

The minimum level of confidence in the face matches that a match must meet to be included in the FaceMatches array.

Returns:

A reference to this updated object so that method calls can be chained together.

getQualityFilter

public java.lang.String getQualityFilter()

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.

Constraints:
Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH

Returns:

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.

See Also:

QualityFilter

setQualityFilter

public void setQualityFilter(java.lang.String qualityFilter)

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.

Constraints:
Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH

Parameters:

qualityFilter -

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.

See Also:

QualityFilter

withQualityFilter

public CompareFacesRequest withQualityFilter(java.lang.String qualityFilter)

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.

Returns a reference to this object so that method calls can be chained together.

Constraints:
Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH

Parameters:

qualityFilter -

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.

Returns:

A reference to this updated object so that method calls can be chained together.

See Also:

QualityFilter

setQualityFilter

public void setQualityFilter(QualityFilter qualityFilter)

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.

Constraints:
Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH

Parameters:

qualityFilter -

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.

See Also:

QualityFilter

withQualityFilter

public CompareFacesRequest withQualityFilter(QualityFilter qualityFilter)

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.

Returns a reference to this object so that method calls can be chained together.

Constraints:
Allowed Values: NONE, AUTO, LOW, MEDIUM, HIGH

Parameters:

qualityFilter -

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.

Returns:

A reference to this updated object so that method calls can be chained together.

See Also:

QualityFilter

toString

public java.lang.String toString()

Returns a string representation of this object; useful for testing and debugging.

Overrides:

toString in class java.lang.Object

Returns:

A string representation of this object.

See Also:

Object.toString()

hashCode

public int hashCode()

Overrides:

hashCode in class java.lang.Object

equals

public boolean equals(java.lang.Object obj)

Overrides:

equals in class java.lang.Object