Abstract: A system and methodology is provided in which inductive liveness techniques are employed to conduct identity verification operations. These techniques may include a wide variety of signals generated by an identity verification application and which are caused to be implemented on a user device such that a live person is stimulated and/or encouraged to respond in a way that is detectable via the device and which may be processed by the identity verification application to assess the likelihood of the user actually being a live person. These signals may include various non-overt prompts stimulating the user to respond in ways such as predictable eye movements, predictable blinking, predictable head or body movements in the context of selfie alignments as well as many other signals.

Abstract: A system and methodology is provided in which image and video injection attack attempts, which may occur in connection with document or individual verification processes, can be detected and handled. The system and methodology of the present invention, in some embodiments, employs functionalities such as haptic vibration generation and accelerometer data typically present in existing user devices to implement attack detection and response.

Abstract: Disclosed are embodiments of systems and methods for embedding and/or extracting data from images. In embodiments, an image may be segmented into regions, and characters or other image groups within a segmented region may be determined to be embedding sites. A data vector may be embedded into a set of corresponding ordered embedding sites by representing each data element as different intensity values assigned to the pixels within one portion of an embedding site relative to the pixels in another portion of the embedding site. In embodiments, embedded data may be extracted from an image by extracting and decoding a set of bit values from a set of identified and ordered embedding sites.

Abstract: Disclosed are embodiments of systems and methods for embedding and/or extracting data from images. In embodiments, an image may be segmented into regions, and characters or other image groups within a segmented region may be determined to be embedding sites. A data vector may be embedded into a set of corresponding ordered embedding sites by representing each data element as different intensity values assigned to the pixels within one portion of an embedding site relative to the pixels in another portion of the embedding site. In embodiments, embedded data may be extracted from an image by extracting and decoding a set of bit values from a set of identified and ordered embedding sites.

Abstract: Disclosed are embodiments of systems and methods for embedding and/or extracting data from images. In embodiments, an image may be segmented into regions, and characters or other image groups within a segmented region may be determined to be embedding sites. A data vector may be embedded into a set of corresponding ordered embedding sites by representing each data element as different intensity values assigned to the pixels within one portion of an embedding site relative to the pixels in another portion of the embedding site. In embodiments, embedded data may be extracted from an image by extracting and decoding a set of bit values from a set of identified and ordered embedding sites.

Abstract: Disclosed are embodiments of systems and methods for suppressing the background of an image. In embodiments, the number of foreground pixels or background pixels within a neighborhood of an identified background pixel may be compared against an aggressiveness threshold. Responsive to the number of foreground pixels within a neighborhood of an identified background pixel not exceeding an aggressiveness threshold, the color of the identified background pixel may be changed to an average local background color. Alternatively, responsive to the number of background pixels within a neighborhood of an identified background pixel exceeding an aggressiveness threshold, the color of the identified background pixel may be changed to an average local background color. In embodiments, additional processes may be performed on the image including, but not limited to, color adjusting, filtering, image enhancing, compression, format conversion, watermarking, special effects, video editing, etc.

Abstract: Disclosed are embodiments of systems and methods to generate a composite image from an captured image, such as from a whiteboard, chalkboard, paper, card, poster, sign, or the like. Systems and methods are disclosed for generating a foreground image layer and mask layer, which enables high-quality and high-ratio document compression. In embodiments, a foreground image layer and mask layer may be generated by identifying non-background pixels in the captured image.

Abstract: Systems, apparatuses, and methods are described for performing fast segmentation of an image. In embodiments, an image may be segmented by generating a background mask, generating an edge mask, dilating the edge mask, and refining that edge mask by applying refinement operations that remove edge pixels from the edge mask. In embodiments, the refined edge mask may be used to generate a foreground mask.

Abstract: Disclosed are embodiments of systems and methods to stitch two or more images together into a composite image. By finding matching point pairs for a pair of images, a homography transform may be obtained for the pair of images. The homography transform may be used to generate a composite image of the image pair. In an embodiment, the process of identifying a homography transform may be iterated. In an embodiment, when forming the composite image, the transformed foreground regions may be selected such that there is no intersection of foreground pixel regions. In an embodiment, foreground pixel regions on the border of an image may be removed. The resulting composite image is a larger image generated from the selected regions from the input images. In embodiments, the process may be repeated for sets of images with more than two images.

Abstract: Disclosed are embodiments of systems and methods to generate background and foreground images for a document, which enables high-quality and high-ratio document compression. In embodiments, high-accuracy layer processing enables text enhancement, paper color removal, and many other advanced image analysis and processing. Embodiments of the systems support several operation modes and its many parameters, such as layer compression ratios, image segmentation, and modulized image processing, may be adjusted to generate optimal compressed files for different purposes.

Abstract: Disclosed are embodiments of systems and methods for embedding and/or extracting data from images. In embodiments, an image may be segmented into regions, and characters or other image groups within a segmented region may be determined to be embedding sites. A data vector may be embedded into a set of corresponding ordered embedding sites by representing each data element as different intensity values assigned to the pixels within one portion of an embedding site relative to the pixels in another portion of the embedding site. In embodiments, embedded data may be extracted from an image by extracting and decoding a set of bit values from a set of identified and ordered embedding sites.

Abstract: Disclosed are embodiments of systems and methods for embedding and/or extracting data from images. In embodiments, an image may be segmented into regions, and characters or other image groups within a segmented region may be determined to be embedding sites. A data vector may be embedded into a set of corresponding ordered embedding sites by representing each data element as different intensity values assigned to the pixels within one portion of an embedding site relative to the pixels in another portion of the embedding site. In embodiments, embedded data may be extracted from an image by extracting and decoding a set of bit values from a set of identified and ordered embedding sites.

Abstract: Disclosed are embodiments of systems and methods for embedding and/or extracting data from images. In embodiments, an image may be segmented into regions, and characters or other image groups within a segmented region may be determined to be embedding sites. A data vector may be embedded into a set of corresponding ordered embedding sites by representing each data element as different intensity values assigned to the pixels within one portion of an embedding site relative to the pixels in another portion of the embedding site. In embodiments, embedded data may be extracted from an image by extracting and decoding a set of bit values from a set of identified and ordered embedding sites.

Abstract: Systems, apparatuses, and methods are described for performing fast segmentation of an image. In embodiments, an image may be segmented by generating a background mask, generating an edge mask, dilating the edge mask, and refining that edge mask by applying refinement operations that remove edge pixels from the edge mask. In embodiments, the refined edge mask may be used to generate a foreground mask.

Abstract: Disclosed are embodiments of systems and methods for suppressing the background of an image. In embodiments, the number of foreground pixels or background pixels within a neighborhood of an identified background pixel may be compared against an aggressiveness threshold. Responsive to the number of foreground pixels within a neighborhood of an identified background pixel not exceeding an aggressiveness threshold, the color of the identified background pixel may be changed to an average local background color. Alternatively, responsive to the number of background pixels within a neighborhood of an identified background pixel exceeding an aggressiveness threshold, the color of the identified background pixel may be changed to an average local background color. In embodiments, additional processes may be performed on the image including, but not limited to, color adjusting, filtering, image enhancing, compression, format conversion, watermarking, special effects, video editing, etc.

Abstract: Disclosed are embodiments of systems and methods to stitch two or more images together into a composite image. By finding matching point pairs for a pair of images, a homography transform may be obtained for the pair of images. The homography transform may be used to generate a composite image of the image pair. In an embodiment, the process of identifying a homography transform may be iterated. In an embodiment, when forming the composite image, the transformed foreground regions may be selected such that there is no intersection of foreground pixel regions. In an embodiment, foreground pixel regions on the border of an image may be removed. The resulting composite image is a larger image generated from the selected regions from the input images. In embodiments, the process may be repeated for sets of images with more than two images.

Abstract: Disclosed are embodiments of systems and methods to generate a composite image from an captured image, such as from a whiteboard, chalkboard, paper, card, poster, sign, or the like. Systems and methods are disclosed for generating a foreground image layer and mask layer, which enables high-quality and high-ratio document compression. In embodiments, a foreground image layer and mask layer may be generated by identifying non-background pixels in the captured image.

Abstract: Disclosed are embodiments of systems and methods to generate background and foreground images for a document, which enables high-quality and high-ratio document compression. In embodiments, high-accuracy layer processing enables text enhancement, paper color removal, and many other advanced image analysis and processing. Embodiments of the systems support several operation modes and its many parameters, such as layer compression ratios, image segmentation, and modulized image processing, may be adjusted to generate optimal compressed files for different purposes.

Abstract: A method for determining a gesture includes determining a change in a background of an image from a plurality of images, determining a object in the image, determining a trajectory of the object through the plurality of images, and classifying a gesture according to the trajectory of the object.

Abstract: A method for determining a gesture includes determining a change in a background of an image from a plurality of images, determining a object in the image, determining a trajectory of the object through the plurality of images, and classifying a gesture according to the trajectory of the object.