Abstract: Provides a method for processing images. The method includes: acquiring an object-image relationship to which both a pupillary distance value of a near-eye display device and an object distance of the near-eye display device correspond, wherein the object-image relationship comprises a correspondence between coordinates of a locating point on a screen and coordinates of a field of view of an image point displayed at the locating point; performing anti-distortion processing on a to-be-displayed picture based on the object-image relationship; and outputting a picture acquired after the anti-distortion processing.

Abstract: A data transmission method includes: capturing, by a virtual reality host, a portion of an image to be transmitted in a preset area to obtain a first image, and compressing, by the virtual reality host, a portion of the image to be transmitted in a dispaly area to obtain a second image, wherein the preset area is a portion of the display area (S101); transmitting, by the virtual reality host, the first image and the second image to a virtual reality apparatus in a certain order (S102); receiving the first image and the second image by the virtual reality apparatus (S103); stretching the second image by the virtual reality apparatus, and merging the first image with a stretched second image by the virtual reality apparatus to obtain an image to be displayed (S104); and displaying the image to be displayed by the virtual reality appartus (S105).

Abstract: A system processes images of documents, for example, identification documents. The system transforms an image of a document to generate an image that represent the document in a canonical form. For example, if the input image has a document that is tilted at an angle with respect to the sides of the image, the system modifies the orientation of the document to show the document having sides aligned with the sides of the image. The system stores user accounts that include user information including images. The system generates a graph of nodes that represent user accounts with edges determined based on similarity scores between user accounts. The system determines connected components of user accounts, such that each connected component represents user accounts that have a high likelihood of being duplicates.

Abstract: Disclosed are a control method and apparatus for a virtual reality device. The method includes acquiring vision information of a current user that uses a virtual reality device; and according to the vision information of the current user, adjusting the distance between a lens in the virtual reality device and the eyes of the current user, and the distance between the field of view angle of each virtual camera and adjacent virtual cameras.

Abstract: Provides a method for processing images. The method includes: acquiring an object-image relationship to which both a pupillary distance value of a near-eye display device and an object distance of the near-eye display device correspond, wherein the object-image relationship comprises a correspondence between coordinates of a locating point on a screen and coordinates of a field of view of an image point displayed at the locating point; performing anti-distortion processing on a to-be-displayed picture based on the object-image relationship; and outputting a picture acquired after the anti-distortion processing.

Abstract: Provided are a method and an apparatus for detecting a delay amount of an eyeball tracking apparatus, an eyeball tracking system, and a non-transitory computer-readable storage medium. The method includes: receiving a detected gaze point coordinate of a mechanical eye at the at least one detection time point; determining an actual gaze point coordinate of the mechanical eye at the at least one detection time point; and determining the delay amount of the eyeball tracking apparatus according to a coordinate difference between the actual gaze point coordinate and the detected gaze point coordinate at the at least one detection time point.

Abstract: A system processes images of documents, for example, identification documents. The system transforms an image of a document to generate an image that represent the document in a canonical form. For example, if the input image has a document that is tilted at an angle with respect to the sides of the image, the system modifies the orientation of the document to show the document having sides aligned with the sides of the image. The system stores user accounts that include user information including images. The system generates a graph of nodes that represent user accounts with edges determined based on similarity scores between user accounts. The system determines connected components of user accounts, such that each connected component represents user accounts that have a high likelihood of being duplicates.

Abstract: A method includes extracting, from a frame of the audio sample, spectral features indicative of cochlear impulse response of an auditory system; obtaining an estimate of a speech signal in the frame from a neural network that is trained, during a training phase, to accept the spectral features as input and output the estimate of the speech signal, where the estimate of the speech signal includes reverberation and excludes noise present in the frame; mapping the estimate of the speech signal to a frequency domain of the frame using mapping parameters obtained during the training phase to obtain an estimate of a reverberant speech spectrum in the frame; and obtaining, from a time-distributed neural network, a dereverberant frame of the frame, where the estimate of the reverberant speech spectrum in the frame is used as an input to the time-distributed neural network.

Abstract: A method includes extracting, from a frame of the audio sample, spectral features indicative of cochlear impulse response of an auditory system; obtaining an estimate of a speech signal in the frame from a neural network that is trained, during a training phase, to accept the spectral features as input and output the estimate of the speech signal, where the estimate of the speech signal includes reverberation and excludes noise present in the frame; mapping the estimate of the speech signal to a frequency domain of the frame using mapping parameters obtained during the training phase to obtain an estimate of a reverberant speech spectrum in the frame; and obtaining, from a time-distributed neural network, a dereverberant frame of the frame, where the estimate of the reverberant speech spectrum in the frame is used as an input to the time-distributed neural network.

Abstract: A system processes images of documents, for example, identification documents. The system transforms an image of a document to generate an image that represent the document in a canonical form. For example, if the input image has a document that is tilted at an angle with respect to the sides of the image, the system modifies the orientation of the document to show the document having sides aligned with the sides of the image. The system stores user accounts that include user information including images. The system generates a graph of nodes that represent user accounts with edges determined based on similarity scores between user accounts. The system determines connected components of user accounts, such that each connected component represents user accounts that have a high likelihood of being duplicates.

Abstract: A system processes images of documents, for example, identification documents. The system transforms an image of a document to generate an image that represent the document in a canonical form. For example, if the input image has a document that is tilted at an angle with respect to the sides of the image, the system modifies the orientation of the document to show the document having sides aligned with the sides of the image. The system stores user accounts that include user information including images. The system generates a graph of nodes that represent user accounts with edges determined based on similarity scores between user accounts. The system determines connected components of user accounts, such that each connected component represents user accounts that have a high likelihood of being duplicates.