A method for deconvolution of digital images includes obtaining a degraded image from a digital sensor, a processor accepting output from the digital sensor and recognizing a distorted element within the image. The distorted element is compared with a true shape of the element to produce a degrading function. The degrading function is deconvolved from at least a portion of the image to improve image quality of the image. A method of indirectly decoding a barcode includes obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and a textual character. The textual character is optically recognized and an image degrading characteristic is identified from the textual character. Compensating for the image degrading characteristic renders previously undecodable barcode marks decodable. A system for deconvolution of digital images is also included.

In several embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. The techniques include capturing image data depicting a document; defining a plurality of candidate edge points within the image data; and defining four sides of a tetragon based on at least some of the plurality of candidate edge points; wherein each side of the tetragon corresponds to a different side of the document; wherein an area of the tetragon comprises at least a threshold percentage of a total area of the digital image; and wherein the tetragon bounds the digital representation of the document.

A system and method to simulate physical objects occluding virtual objects within an interactive space may obtain output signals conveying three-dimensional positions of surfaces of a user object. The three-dimensional positions may be conveyed in a point cloud. Point cloud images may be obtained from the output signals. An individual point cloud image may depict a two-dimensional representation of the point cloud. A current point cloud image may be aggregated with one or more previous aggregate point cloud images to generate a current aggregate point cloud image. A mesh may be generated based on the current aggregate point cloud image. The mesh may include a set of vertices. The mesh may be generated by assigning individual vertices to individual points in the current aggregate point cloud image.

Methods, systems, apparatuses, and computer program products are provided that are configured to processor sensor data using a single component specialized sensor data processing neural network. The single component data processing system is configured to receive input data from a sensor, analyze the input data using a neural network embodied by a single trained sensor data processing component, wherein the single trained sensor data processing component is trained to product output data that approximates a plurality of task-specific transformations performed in a pipeline manner, and produce the output data following transformation of the input data. Additionally, methods, systems, apparatuses, and computer program products are provided for training a single trained sensor data processing component to approximate a plurality of task-specific transformations performed in a pipeline manner.

An electronic device according to the present invention, includes at least one memory and at least one processor which function as: a reading unit configured to read a candidate image to be posted; and a display controlling unit configured to perform control to display a post creation screen including the candidate image such that in a case where the read candidate image is not an image for VR display, and an image for normal display, a specific display item for performing a hiding process of hiding a part of an image is not displayed on the post creation screen, and in a case where the candidate image is an image for VR display, the specific display item is displayed on the post creation screen.

Computer implemented method for digital image data, digital video data or digital audio data enhancement, and a computer implemented method for encoding or decoding this data in particular for transmission or storage, wherein an element representing a part of said digital data comprises an indication of a position of the element in an ordered input data of a plurality of data elements, wherein a plurality of elements is transformed to a representation depending on an invertible linear mapping, wherein the invertible linear mapping maps the input of the plurality of elements to the representation, wherein the invertible linear mapping comprises at least one autoregressive convolution.

An information processing apparatus, connectable with an image output apparatus, includes circuitry to receive image data of an image from a memory, acquire information of an image placement region of the image output apparatus, the image placement region being variable depending on a type of the image output apparatus, and the image is to be output on the image placement region of the image output apparatus, generate an output image by placing the image within the image placement region based on the image data of the image to be output, and the image placement region of the image output apparatus, and transmit the generated output image to the image output apparatus.

In several embodiments, methods, systems, and computer program products for processing digital images captured by a mobile device are disclosed. The techniques include detecting medical documents and/or documents relevant to an insurance claim by defining candidate edge points based on the captured image data and defining four sides of a tetragon based on at least some of the candidate edge points. In the case of an insurance claim process, the techniques also include determining whether the document is relevant to an insurance claim; and in response to determining the document is relevant to the insurance claim, submitting the image data, information extracted from the image data, or both to a remote server for claims processing. The image capture and processing techniques further facilitate processing of medical documents and/or insurance claims with a plurality of additional features that may be used individually or in combination in various embodiments.

A phase deviation method determines an offset between a reference and suspect signal by analyzing a phase deviation surface created by computing a deviation metric for phase shift and then analyzing a surface formed from the deviation metrics for an array of offsets. The phase deviation method analyzes the deviation surface to determine an offset that minimizes phase deviation. This method is applied at increasing levels of detail to refine the determination of the offset.

A method of generating a patient-specific prosthetic includes receiving anatomic imaging data representative of a portion of a patient's anatomy. A first digital representation of the anatomic imaging data is defined. The first digital representation of the anatomic imaging data is modified. A second digital representation of the portion of the patient's anatomy is defined based on the modifying of the first digital representation of the anatomic imaging data. A patient-specific prosthetic template of the portion of the patient's anatomy is generated based at least in part on the second digital representation of the anatomic imaging data.