Abstract: The present disclosure provides a three-dimensional facial recognition method and system. The method includes: performing pose estimation on an input binocular vision image pair by using a three-dimensional facial reference model, to obtain a pose parameter and a virtual image pair of the three-dimensional facial reference model with respect to the binocular vision image pair; reconstructing a facial depth image of the binocular vision image pair by using the virtual image pair as prior information; detecting, according to the pose parameter, a local grid scale-invariant feature descriptor corresponding to an interest point in the facial depth image; and generating a recognition result of the binocular vision image pair according to the detected local grid scale-invariant feature descriptor and training data having attached category annotations. The present disclosure can reduce computational costs and required storage space.

Abstract: A method for extracting a characteristic of a three-dimensional face image includes: performing face area division, to obtain a group of face areas; projecting each face area onto a corresponding regional bounding sphere; obtaining an indication of the corresponding face area according to the regional bounding sphere, and recording the indication as a regional bounding spherical descriptor of the face area; calculating a weight of the regional bounding spherical descriptor of the face area for each face area; and obtaining a characteristic of a three-dimensional face image according to the indication of the face area and the corresponding weight.

Abstract: A hand motion identification method includes: obtaining a to-be-identified video; performing area-locating and tracking of a hand for the to-be-identified video, and extracting a red-green-blue (RGB) video and a depth information video of the hand; detecting the RGB video and the depth information video of the hand, to obtain a feature point; representing the feature point by using a 3D Mesh motion scale-invariant feature transform (MoSIFT) feature descriptor; and comparing the 3D Mesh MoSIFT feature descriptor of the feature point with a 3D Mesh MoSIFT feature descriptor in a positive sample obtained through beforehand training, to obtain a hand motion category in the to-be-identified video.

Abstract: The present disclosure provides a three-dimensional facial recognition method and system. The method includes: performing pose estimation on an input binocular vision image pair by using a three-dimensional facial reference model, to obtain a pose parameter and a virtual image pair of the three-dimensional facial reference model with respect to the binocular vision image pair; reconstructing a facial depth image of the binocular vision image pair by using the virtual image pair as prior information; detecting, according to the pose parameter, a local grid scale-invariant feature descriptor corresponding to an interest point in the facial depth image; and generating a recognition result of the binocular vision image pair according to the detected local grid scale-invariant feature descriptor and training data having attached category annotations. The present disclosure can reduce computational costs and required storage space.

Abstract: An information processing method and apparatus, the method including: training a Deep Neural Network (DNN) by using an evaluation object seed, an evaluation term seed and an evaluation relationship seed (101); at a first input layer, connecting vectors corresponding to a candidate evaluation object, a candidate evaluation term and a candidate evaluation relationship to obtain a first input vector (102); at a first hidden layer, compressing the first input vector to obtain a first middle vector, and at a first output layer, decoding the first middle vector to obtain a first output vector (103); and determining a first output vector whose decoding error value is less than a decoding error value threshold, and determining a candidate evaluation object, a candidate evaluation term and a candidate evaluation relationship corresponding to the determined first output vector as first opinion information (104).

Abstract: Embodiments of the present invention provide a microblog-based document file sharing method and device. The method comprises: converting a document file into an swf file; performing format confusion on the swf file; and publishing the swf file after the format confusion through a microblog platform. After the embodiments of the present invention are applied, information transmission and the audience size are expanded through sharing via microblog technologies. In addition, the format confusion is performed on the swf file, so that the possibility of directly obtaining the original of the document file through a link is eliminated, and therefore, the information security of the document is also enhanced.

Abstract: It is described an information processing method and device. It is received a request for service data from a client device. In response to the request for service data, it is sent at least two probing packets which contain the service data to the client device on a forward path which is from a server to the client device. It is obtained timing information, which includes: a time stamp corresponding to the service data, a time stamp corresponding to the request for the service data, and time stamps corresponding to at least two backward-path packets sent by the client device on a backward path, the backward path being from the client device to the server. It is determined according to the timing information a one-way path metric.

Abstract: A method for positioning an IP location and a server are provided. The method comprises: obtaining location data of mobile terminals used by a plurality of users in a preset period to generate a first geographic location data set; pre-processing the first geographic location data set to obtain a second geographic location data set; obtaining a first selected location and a second selected location of each user according to the second geographic location data set; obtaining IP address data corresponding to fixed terminals used by the plurality of users to generate an IP address data set; pre-processing the IP address data set to obtain a plurality of IP sections; obtaining a plurality of first selected locations and second selected locations corresponding to the users of each IP section; and clustering the plurality of first selected locations and second selected locations to obtain the IP location of the IP section.

Abstract: A method for positioning an IP location and a server are provided. The method comprises: obtaining location data of mobile terminals used by a plurality of users in a preset period to generate a first geographic location data set; pre-processing the first geographic location data set to obtain a second geographic location data set; obtaining a first selected location and a second selected location of each user according to the second geographic location data set; obtaining IP address data corresponding to fixed terminals used by the plurality of users to generate an IP address data set; pre-processing the IP address data set to obtain a plurality of IP sections; obtaining a plurality of first selected locations and second selected locations corresponding to the users of each IP section; and clustering the plurality of first selected locations and second selected locations to obtain the IP location of the IP section.

Abstract: A method of screening test cases used to test a software system is provided. The method may include obtaining a number of times that a function node of the software system is triggered. A weight of the function node may be calculated based on the number of times that the function node is triggered. Further, test cases relevant to the function node may be screened according to the weight of the function node. Thus, a test case relevant to the function node that is triggered more frequently during an operation may be screened for. The number of times a function node is triggered may indicate a frequency with which the function node is used, and the function node that is frequently used may be of great importance. A system and a computer medium with instructions to provide improve testing of the software system are also provided.

Abstract: Embodiments of the present invention provide a microblog-based document file sharing method and device. The method comprises: converting a document file into an swf file; performing format confusion on the swf file; and publishing the swf file after the format confusion through a microblog platform. After the embodiments of the present invention are applied, information transmission and the audience size are expanded through sharing via microblog technologies. In addition, the format confusion is performed on the swf file, so that the possibility of directly obtaining the original of the document file through a link is eliminated, and therefore, the information security of the document is also enhanced.

Abstract: A method of screening for test cases comprises the following steps: obtaining the number of times that a function node is triggered; calculating the weight of the function node according to the number of times that the function node is triggered; and screening for a test case relevant to the function node according to the weight of the function node. In the above manner, a test case relevant to a function node that is triggered many times in actual operation can be screened for. If the function node is triggered many times, it indicates that the function node is frequently used, and the function node that is frequently used is of great importance.