Abstract: Various embodiments are directed to a Pose Correction Engine (“Engine”). The Engine generates a reference image of the object of interest. The reference image portrays the object of interest oriented according to a first pose. The Engine receives a source image of an instance of the object. The source image portrays the instance of the object oriented according to a variation of the first pose. The Engine determines a difference between the first pose of the reference image and the variation of the first pose of the source image. The Engine identifies, based on the determined difference, one or portions of a three-dimensional (3D) map of a shape of the object obscured by the variation of the first pose portrayed in the source image. The Engine generates a pose corrected image of the instance of the object that portrays at least a portion of the source image and at least the identified portion of the 3D map of the shape of the object.

Abstract: Various embodiments are directed to a Pose Correction Engine (“Engine”). The Engine generates a reference image of the object of interest. The reference image portrays the object of interest oriented according to a first pose. The Engine receives a source image of an instance of the object. The source image portrays the instance of the object oriented according to a variation of the first pose. The Engine determines a difference between the first pose of the reference image and the variation of the first pose of the source image. The Engine identifies, based on the determined difference, one or portions of a three-dimensional (3D) map of a shape of the object obscured by the variation of the first pose portrayed in the source image. The Engine generates a pose corrected image of the instance of the object that portrays at least a portion of the source image and at least the identified portion of the 3D map of the shape of the object.

Abstract: Exemplary methodology, procedure, system, method and computer-accessible medium can be provided for authenticating a non-digital medium of a physical object, by receiving at least one image of video of at least one marked or unmarked region, and comparing the first microscopic image or video of at least one marked or unmarked region with at least one second microscopic image or video relating to the non-digital medium to determine if a similarity between the first and second microscopic images or videos matches or exceeds a predetermined amount.

Abstract: A method and system may be used to determine whether a suspect item is counterfeit. In the method and system, images may be analyzed in order to identify regions of interest of the item. The method and system may compare characteristics of different regions of interests against threshold characteristics derived from an item model. A determination that the suspect item is counterfeit is based on a result of the comparison.

Abstract: A method and system may be used to determine whether a suspect item is counterfeit. In the method and system, images may be analyzed in order to identify regions of interest of the item. The method and system may compare characteristics of different regions of interests against threshold characteristics derived from an item model. A determination that the suspect item is counterfeit is based on a result of the comparison.

Abstract: An exemplary lens arrangement can be provided that includes a plurality of lenses configured to provide a field of view (FOV) of between about 9 mm×6 mm to about 15 mm×12 mm, a resolution at at least one edge of the lenses of between about 40 lp/mm to about 100 lp/mm, and a distortion between about 0.1% to about 1%.

Abstract: Exemplary systems, methods and computer-accessible mediums can receive information comprising a first speckle pattern(s) associated with a portion(s) of the paper. The information can be generated by an optical arrangement, and the first speckle pattern(s) can be compared with a second speckle pattern(s) to determine if a similarity measure based on local or global descriptors is of equal to a predetermined amount or within a predetermined range.

Abstract: Systems and method for sending a first alphacode to a first participant over a secure channel. Sending a second alphacode to a second participant over a secure channel. Receiving a first encoded message, a second encoded message, and a plaintext message. The first encoded message is based on the first alphacode and the second encoded message is based on the second alphacode. Generating a first ciphertext based on the first alphacode and the plaintext message. Comparing the first ciphertext to the first encoded message and determining the authenticity of the first encoded message based at least on the comparing to the first ciphertext. Comparing the second ciphertext to the second encoded message and determining the authenticity of the second encoded message based at least on the comparing to the second ciphertext. Sending a first confirmation to the first participant and sending a second confirmation to the second participant.

Abstract: A method for classifying a microscopic image includes receiving a training dataset (306) including at least one microscopic image (305) from a physical object (303) and an associated class definition (304) for the image that is based on a product specification. Machine learning classifiers are trained to classify the image into classes (308). The microscopic image (305) is used as a test input for the classifiers to classify the image into one or more classes based on the product specification. The product specification includes a name of a brand, a product line, or other details on a label of the physical object.

Abstract: An exemplary lens arrangement can be provided that includes a plurality of lenses configured to provide a field of view (FOV) of between about 9 mm×6 mm to about 15 mm×12 mm, a resolution at at least one edge of the lenses of between about 40 lp/mm to about 100 lp/mm, and a distortion between about 0.1% to about 1%.

Abstract: Systems and method for sending a first alphacode to a first participant over a secure channel. Sending a second alphacode to a second participant over a secure channel. Receiving a first encoded message, a second encoded message, and a plaintext message. The first encoded message is based on the first alphacode and the second encoded message is based on the second alphacode. Generating a first ciphertext based on the first alphacode and the plaintext message. Comparing the first ciphertext to the first encoded message and determining the authenticity of the first encoded message based at least on the comparing to the first ciphertext. Comparing the second ciphertext to the second encoded message and determining the authenticity of the second encoded message based at least on the comparing to the second ciphertext. Sending a first confirmation to the first participant and sending a second confirmation to the second participant.

Abstract: Exemplary methodology, procedure, system, method and computer-accessible medium can be provided for authenticating a non-digital medium of a physical object, by receiving at least one image of video of at least one marked or unmarked region, and comparing the first microscopic image or video of at least one marked or unmarked region with at least one second microscopic image or video relating to the non-digital medium to determine if a similarity between the first and second microscopic images or videos matches or exceeds a predetermined amount.

Abstract: An exemplary methodology, procedure, system, method and computer-accessible medium can be provided for authenticating a portion of a non-digital medium for a document, by receiving at least one image of at least one first marked portion of the non-digital medium for the document, extracting at least one first speckle pattern of the at least one first marked portion, and comparing the first speckle pattern of the at least one first marked portion with at least one second speckle pattern relating to the non-digital medium to determine if a similarity between the first and second speckle patterns equals or exceeds a predetermined amount.

Abstract: An exemplary methodology, procedure, system, method and computer-accessible medium can be provided for authenticating a portion of a non-digital medium for a document, by receiving at least one image of at least one first marked portion of the non-digital medium for the document, extracting at least one first speckle pattern of the at least one first marked portion, and comparing the first speckle pattern of the at least one first marked portion with at least one second speckle pattern relating to the non-digital medium to determine if a similarity between the first and second speckle patterns equals or exceeds a predetermined amount.