Abstract: The disclosure provides a method for generating a three-dimensional virtual image. The method includes: obtaining a face image to be processed and a three-dimensional reference model; obtaining a three-dimensional face model, face attribute information and face image information by inputting the face image to be processed into a trained neural network; obtaining a three-dimensional image model by performing a deformation process on the three-dimensional reference model based on the three-dimensional face model; and obtaining a target virtual image by adjusting the three-dimensional image model based on the face attribute information and the face image information.

Abstract: A method and apparatus for predicting a mouth-shape feature, and an electronic device are provided. A specific implementation of the method comprises: recognizing a phonetic posterior gram (PPG) of a phonetic feature; and performing a prediction on the PPG by using a neural network model, to predict a mouth-shape feature of the phonetic feature, the neural network model being obtained by training with training samples and an input thereof including a PPG and an output thereof including a mouth-shape feature, and the training samples including a PPG training sample and a mouth-shape feature training sample.

Abstract: A method, an apparatus, a device and a computer-readable storage medium for recognizing aerial handwriting are provided. The method may include detecting a palm region of a user in a two-dimensional grayscale image; detecting a fingertip in the two-dimensional gray-scale image based on the palm area; determining a spatial trajectory of the fingertip based on a set of two-dimensional gray-scale images, the set of two-dimensional gray-scale images including the two-dimensional gray-scale image; and recognizing handwritten content of the user based on the spatial trajectory. A two-dimensional gray-scale image is used to recognize and track the spatial trajectory of the fingertip, which may speed up aerial handwriting recognition, and has low processing performance requirements for the device, while also ensuring high accuracy.

Abstract: The disclosure provides a method for generating a three-dimensional virtual image. The method includes: obtaining a face image to be processed and a three-dimensional reference model; obtaining a three-dimensional face model, face attribute information and face image information by inputting the face image to be processed into a trained neural network; obtaining a three-dimensional image model by performing a deformation process on the three-dimensional reference model based on the three-dimensional face model; and obtaining a target virtual image by adjusting the three-dimensional image model based on the face attribute information and the face image information.

Abstract: A method and apparatus for predicting a mouth-shape feature, and an electronic device are provided. A specific implementation of the method comprises: recognizing a phonetic posterior gram (PPG) of a phonetic feature; and performing a prediction on the PPG by using a neural network model, to predict a mouth-shape feature of the phonetic feature, the neural network model being obtained by training with training samples and an input thereof including a PPG and an output thereof including a mouth-shape feature, and the training samples including a PPG training sample and a mouth-shape feature training sample.

Abstract: A method, an apparatus, a device and a computer-readable storage medium for recognizing aerial handwriting are provided. The method may include detecting a palm region of a user in a two-dimensional grayscale image; detecting a fingertip in the two-dimensional gray-scale image based on the palm area; determining a spatial trajectory of the fingertip based on a set of two-dimensional gray-scale images, the set of two-dimensional gray-scale images including the two-dimensional gray-scale image; and recognizing handwritten content of the user based on the spatial trajectory. A two-dimensional gray-scale image is used to recognize and track the spatial trajectory of the fingertip, which may speed up aerial handwriting recognition, and has low processing performance requirements for the device, while also ensuring high accuracy.

Abstract: The present application discloses a live human face verification method and device. The device acquires face images captured by at least two cameras and performs feature point registration on the face images according to preset face feature points, to obtain corresponding feature point combinations between the face images. After fitting out a homography transformation matrix among the feature point combinations, the device calculates transformation errors of the feature point combinations using the homography transformation matrix to obtain an error calculation result, and performing live human face verification of the face images according to the error calculation result. The embodiments of the present application do not need to calibrate the cameras, so the amount of calculation of a living body judgment algorithm can be reduced; moreover, the cameras can be freely placed, and thereby the flexibility and convenience of living body judgment can be increased.

Abstract: The present application discloses a live human face verification method and device. The device acquires face images captured by at least two cameras and performs feature point registration on the face images according to preset face feature points, to obtain corresponding feature point combinations between the face images. After fitting out a homography transformation matrix among the feature point combinations, the device calculates transformation errors of the feature point combinations using the homography transformation matrix to obtain an error calculation result, and performing live human face verification of the face images according to the error calculation result. The embodiments of the present application do not need to calibrate the cameras, so the amount of calculation of a living body judgment algorithm can be reduced; moreover, the cameras can be freely placed, and thereby the flexibility and convenience of living body judgment can be increased.

Abstract: A method for realistic and real-time rendering of complex scene in internet environment, comprising: generating sequences of scene-object-multi-resolution models, a scene configuration file, textures and material files, and a scene data list file; compressing the sequences of scene-object-multi-resolution models, the scene configuration file, the textures and material files, and the scene data list file and uploading the compressed files to a server; downloading, at a client terminal, the scene-object-multi-resolution models, the scene configuration file, the texture and material file, and the scene data list file in ascending order of resolution and rendering the scene simultaneously; dividing, in rendering the scene, a frustum in parallel into a plurality of partitions, generating a shadow map for each frustum, filtering the shadow maps to obtain an anti-aliasing shadowing effect; and the shadow map closest to a viewpoint is updated on a frame-by-frame basis and updating frequency decreases for the shadow m

Abstract: A method for realistic and real-time rendering of complex scene in internet environment, comprising: generating sequences of scene-object-multi-resolution models, a scene configuration file, textures and material files, and a scene data list file; compressing the sequences of scene-object-multi-resolution models, the scene configuration file, the textures and material files, and the scene data list file and uploading the compressed files to a server; downloading, at a client terminal, he scene-object-multi-resolution models, the scene configuration file, the texture and material file, and the scene data list file in ascending order of resolution and rendering the scene simultaneously; dividing, in rendering the scene, a frustum in parallel into a plurality of partitions, generating a shadow map for each frustum, filtering the shadow maps to obtain an anti-aliasing shadowing effect; and the shadow map closest to a viewpoint is updated on a frame-by-frame basis and updating frequency decreases for the shadow ma

Abstract: A security module generates a random image having a plurality of password-element indicators therein. The random image is provided to a user. The user selects portions of the random image. The security module determines whether the selected portions of the random image correspond to a password for the user. The security module grants access if the selected portions of the random image correspond to the user's password. However, if the selected portions of the random image do not correspond to the user's password, the security module may generate another random image having a plurality of password-element indicators therein, wherein each of the random images are computationally de-correlated.