A device configured to emulate an image output adapter for a correlithm object processing system that includes an actor engine. The actor engine is configured to receive an aggregated correlithm object corresponding with a mask and to identify a plurality of correlithm objects in the aggregated correlithm object. Each mask table is linked with a mask that defines an array of pixels of an image. The actor engine is configured to populate each pixel location in the mask with a correlithm object from the plurality of correlithm object in accordance with a mask table for the mask. The actor engine is further configured to determine a pixel value for each pixel location in the mask based on the correlithm object at each pixel location and to output a representation of a portion of the image based on the mask populated with pixel values at each pixel location.

A method for verifying a security device including an image having a signature. The method may include operations for acquiring the image in order to obtain a first representation of the image, extracting the signature, and verifying the signature. Also included are implementations in the form of a verification apparatus, a computer program, and a computer data medium including such a computer program.

Devices and a method are provided for providing feedback to a user. In one implementation, the method comprises obtaining a plurality of images from an image sensor. The image sensor is configured to be positioned for movement with the user's head. The method further comprises monitoring the images, and determining whether relative motion occurs between a first portion of a scene captured in the plurality of images and other portions of the scene captured in the plurality of images. If the first portion of the scene moves less than at least one other portion of the scene, the method comprises obtaining contextual information from the first portion of the scene. The method further comprises providing the feedback to the user based on at least part of the contextual information.

A device configured to emulate a distance measuring device in a correlithm object processing system. The device is configured to receive an input binary string and to mask a first portion of the input binary string. The device is configured to identify a first binary string in a counting table matching a second portion of the input binary string, to fetch a first numeric value linked with the first binary string, and to increment a count value of a counter by the first numeric value. The device is configured to mask the second portion and to unmask the first portion. The device is configured to identify a second binary string in the counting table matching the first portion, to fetch a second numeric value linked with the second binary string, to increment the count value of the counter by the second numeric value, and to output the count value.

A machine learning system can generate an image mask (e.g., a pixel mask) comprising pixel assignments for pixels. The pixels can be assigned to classes, including, for example, face, clothes, body skin, or hair. The machine learning system can be implemented using a convolutional neural network that is configured to execute efficiently on computing devices having limited resources, such as mobile phones. The pixel mask can be used to more accurately display video effects interacting with a user or subject depicted in the image.

A computing system includes a processing system with at least one processing unit. The processing system is configured to execute a face alignment method upon receiving image data with a facial image. The processing system is configured to apply a neural network to the facial image. The neural network is configured to provide a final estimate of parameter data for the facial image based on the image data and an initial estimate of the parameter data. The neural network includes at least one visualization layer, which is configured to generate a feature map based on a current estimate of the parameter data. The parameter data includes head pose data and face shape data.

Devices and a method are provided for providing feedback to a user. In one implementation, the method comprises obtaining a plurality of images from an image sensor. The image sensor is configured to be positioned for movement with the user's head. The method further comprises monitoring the images, and determining whether relative motion occurs between a first portion of a scene captured in the plurality of images and other portions of the scene captured in the plurality of images. If the first portion of the scene moves less than at least one other portion of the scene, the method comprises obtaining contextual information from the first portion of the scene. The method further comprises providing the feedback to the user based on at least part of the contextual information.

A method, apparatus and computer program, wherein the method comprises: illuminating a portion of skin of a user; detecting light scattered by the illuminated portion of skin and using the detected light to identify locations of biometric features within the illuminated portion of skin; and configuring a light source to selectively illuminate identified locations of biometric features.

A device configured to emulate an image output adapter for a correlithm object processing system that includes an actor engine. The actor engine is configured to receive an aggregated correlithm object corresponding with a mask and to identify a plurality of correlithm objects in the aggregated correlithm object. Each mask table is linked with a mask that defines an array of pixels of an image. The actor engine is configured to populate each pixel location in the mask with a correlithm object from the plurality of correlithm object in accordance with a mask table for the mask. The actor engine is further configured to determine a pixel value for each pixel location in the mask based on the correlithm object at each pixel location and to output a representation of a portion of the image based on the mask populated with pixel values at each pixel location.

A device configured to emulate an image output adapter for a correlithm object processing system that includes an actor engine. The actor engine is configured to receive an aggregated correlithm object corresponding with a mask and to identify a plurality of correlithm objects in the aggregated correlithm object. Each mask table is linked with a mask that defines an array of pixels of an image. The actor engine is configured to populate each pixel location in the mask with a correlithm object from the plurality of correlithm object in accordance with a mask table for the mask. The actor engine is further configured to determine a pixel value for each pixel location in the mask based on the correlithm object at each pixel location and to output a representation of a portion of the image based on the mask populated with pixel values at each pixel location.