Abstract: Aspects of the disclosure provide a method for adding a target contact to a user's friend list in a social network. A target image of a human body part of the target contact can be received from a user terminal. A target biological feature can be extracted from the target image. Whether the target biological feature matches a reference biological feature of a plurality of prestored reference biological features can be determined. A social account associated with the determined reference biological feature that matches the target biological feature may be determined, and added to the user's friend list.

Abstract: The present disclosure discloses an image recognition method and apparatus, and belongs to the field of computer technologies. The method includes: extracting a local binary pattern (LBP) feature vector of a target image; calculating a high-dimensional feature vector of the target image according to the LBP feature vector; obtaining a training matrix, the training matrix being a matrix obtained by training images in an image library by using a joint Bayesian algorithm; and recognizing the target image according to the high-dimensional feature vector of the target image and the training matrix. The image recognition method and apparatus according to the present disclosure may combine LBP algorithm with a joint Bayesian algorithm to perform recognition, thereby improving the accuracy of image recognition.

Abstract: A face liveness detection method includes outputting a prompt to complete one or more specified actions in sequence within a specified time period, obtaining a face video, detecting a reference face image frame in the face video using a face detection method, locating a facial keypoint in the reference face image frame, tracking the facial keypoint in one or more subsequent face image frames, determining a state parameter of one of the one or more specified actions using a continuity analysis method according to the facial keypoint, and determining whether the one of the one or more specified actions is completed according to a continuity of the state parameter.

Abstract: Method, apparatus, system, and storage medium for detecting an information card in an image are provided. The method includes performing a line detection to obtain two endpoints of a line segment corresponding to each of four sides of the information card; generating, a linear equation of the side; obtaining coordinates of four intersection points of the four sides of the information card; mapping the coordinates of the four intersection points to four corners of a rectangular box of the information card, to obtain a perspective transformation matrix; performing perspective transformation on image content encircled by four straight lines represented by the four linear equations to provide transformed image content; forming a gradient template according to a layout of information content on the information card; and using the gradient template to match with the transformed image content and determining whether the image content is a correct information card.

Abstract: Face model matrix training method, apparatus, and storage medium are provided. The method includes: obtaining a face image library, the face image library including k groups of face images, and each group of face images including at least one face image of at least one person, k>2, and k being an integer; separately parsing each group of the k groups of face images, and calculating a first matrix and a second matrix according to parsing results, the first matrix being an intra-group covariance matrix of facial features of each group of face images, and the second matrix being an inter-group covariance matrix of facial features of the k groups of face images; and training face model matrices according to the first matrix and the second matrix.

Abstract: The method provided in the present disclosure includes: obtaining an image photographed by a camera, and performing face detection on the image by using a face detection algorithm, to obtain a face pixel set from the image; positioning a facial feature contour mask over the face pixel set, to obtain a to-be-examined pixel set from the face pixel set, the to-be-examined pixel set including: a plurality of pixels within an image area except pixels masked by the facial feature contour mask in the face pixel set; performing edge contour detection on the to-be-examined pixel set, and extracting one or more blemish regions from the to-be-examined pixel set, to obtain a to-be-retouched pixel set, the to-be-retouched pixel set including: a plurality of pixels within an image area belonging to the blemish regions; and retouching all pixels in the to-be-retouched pixel set, to obtain a retouched pixel set.

Abstract: Disclosed are an evaluation method and an evaluation device for a facial key point positioning result. In some embodiments, the evaluation method includes: acquiring a facial image and one or more positioning result coordinates of a key point of the facial image; performing a normalization process on the positioning result coordinate and an average facial model to obtain a normalized facial image; and extracting a facial feature value of the normalized facial image and calculating an evaluation result based on the facial feature value and a weight vector.

Abstract: A 3D human face reconstruction method and apparatus, and a server are provided. In some embodiments, the method includes determining feature points on an acquired 2D human face image; determining posture parameters of a human face according to the feature points, and adjusting a posture of a universal 3D human face model according to the posture parameters; determining points on the universal 3D human face model corresponding to the feature points, and adjusting the corresponding points in a sheltered status to obtain a preliminary 3D human face model; and performing deformation adjusting on the preliminary 3D human face model, and performing texture mapping on the deformed 3D human face model to obtain a final 3D human face.

Abstract: The embodiment of the present invention provides a human face recognition method and recognition system. The method includes that: a human face recognition request is acquired, and a statement is randomly generated according to the human face recognition request; audio data and video data returned by a user in response to the statement are acquired; corresponding voice information is acquired according to the audio data; corresponding lip movement information is acquired according to the video data; and when the lip movement information and the voice information satisfy a preset rule, the human face recognition request is permitted. By performing fit goodness matching between the lip movement information and voice information in a video for dynamic human face recognition, an attack by human face recognition with a real photo may be effectively avoided, and higher security is achieved.

Abstract: An identity verification method performed at a terminal includes: displaying and/or playing in an audio form action guide information selected from a preset action guide information library, and collecting a corresponding set of action images within a preset time window; performing matching detection on the collected set of action images and the action guide information, to obtain a living body detection result indicating whether a living body exists in the collected set of action images; according to the living body detection result that indicates that a living body exists in the collected set of action images: collecting user identity information and performing verification according to the collected user identity information, to obtain a user identity information verification result; and determining the identity verification result according to the user identity information verification result.

Abstract: The present invention relates to a voice call establishing method and apparatus. The method includes: receiving a voice call request, and generating an internal trigger signal according to the voice call request; detecting an acceleration characteristic value of a mobile terminal and/or a characteristic value of a distance from the mobile terminal to a target object within a preset time threshold; and if an initial value of the acceleration characteristic value is a first characteristic value and does not change within the preset time threshold, establishing a first voice call; and if the acceleration characteristic value changes from the first characteristic value to a second characteristic value within the preset time threshold, and the characteristic value of the distance changes from a first distance characteristic value to a second distance characteristic value, establishing a second voice call.

Abstract: The present disclosure discloses a living body identification method, an information generation method, and a terminal, and belongs to the field of biometric feature recognition. The method includes: providing lip language prompt information, the lip language prompt information including at least two target characters, and the at least two target characters being at least one of: characters of a same lip shape, characters of opposite lip shapes, or characters whose lip shape similarity is in a preset range; collecting at least two frame pictures; detecting whether lip changes of a to-be-identified object in the at least two frame pictures meet a preset condition, when the to-be-identified object reads the at least two target characters; and determining that the to-be-identified object is a living body, if the preset condition is met.

Abstract: The present disclosure pertains to the field of image processing technologies and discloses a face key point positioning method and a terminal. The method includes: obtaining a face image; recognizing a face frame in the face image; determining positions of n key points of a target face in the face frame according to the face frame and a first positioning algorithm; performing screening to select, from candidate faces, a similar face whose positions of corresponding key points match the positions of the n key points of the target face; and determining positions of m key points of the similar face selected through screening according to a second positioning algorithm, m being a positive integer. In this way, the problem that positions of key points obtained by a terminal have relatively great deviations in the related technologies is resolved, thereby achieving an effect of improving accuracy of positioned positions of the key points.

Abstract: The present invention relates to a voice call establishing method and apparatus. The method includes: receiving a voice call request, and generating an internal trigger signal according to the voice call request; detecting an acceleration characteristic value of a mobile terminal and/or a characteristic value of a distance from the mobile terminal to a target object within a preset time threshold; and if an initial value of the acceleration characteristic value is a first characteristic value and does not change within the preset time threshold, establishing a first voice call; and if the acceleration characteristic value changes from the first characteristic value to a second characteristic value within the preset time threshold, and the characteristic value of the distance changes from a first distance characteristic value to a second distance characteristic value, establishing a second voice call.

Abstract: A network selection method and a terminal device are applied to the field of communication technologies. The network selection method is applied to a terminal device based on a subscriber identity module SIM card, and includes preferentially camping a circuit switched CS domain on a first network and preferentially bearing a CS domain service by the first network; preferentially camping a packet switched PS domain on a second network and preferentially bearing a PS domain service by the second network; when communication quality of the second network fails to meet requirements of the PS domain service, camping the PS domain on the first network and bearing the PS domain service by the first network.

Abstract: A preprocessing section binarizes input image data and calculates a total black pixel ratio. A feature extracting section detects connected components included in the binary image data and detects circumscribing bounding boxes of the connected components. Predetermined connected components are removed from all of the connected components based on the sizes of the detected circumscribing bounding boxes and bounding box black pixel ratios. By using the connected components that remain after removing the unnecessary connected components, a histogram is generated by specifying the sizes of the circumscribing bounding boxes as classes and numbers of the connected components as the frequencies of occurrence. A determining section determines whether the input image data is document image data or non-document image data based on information related to the generated histogram and the total black pixel ratio.

Abstract: Embodiments of the present invention relate to the field of communication technologies, and disclose a method and device for network access. The method includes: detecting whether a notification message reported by an x digital subscriber line module is received within a set time, wherein the notification message is used for indicating that the x digital subscriber line module is connected to a network successfully; if yes, establishing a connection between a service terminal and the x digital subscriber line module so that the service terminal accesses the network through the x digital subscriber line module; and if no, establishing a connection between the service terminal and a 3G data card module so that the service terminal accesses the network through the 3G data card module.

Abstract: A preprocessing section binarizes input image data and calculates a total black pixel ratio. A feature extracting section detects connected components contained in the binarized image data and detects circumscribing bounding boxes that circumscribe these connected components, respectively. Based on sizes of the circumscribing bounding boxes detected and numbers of black pixels contained therein, predetermined connected components are removed. A determining section generates an edge map by using the residual connected components, and performs two-dimensional fast Fourier transform thereon to generate spectral data. The determining section performs two-dimensional fast Fourier transform on template images to generate spectral data. The determining section determines, based on these pieces of spectral data, whether or not a circular shape is contained in the input image data.

Abstract: The present invention discloses a method for obtaining the direction of a target location through a handset, which includes: the handset obtains geographical information of a current location and that of the target location, determines a geographical meridian line of the current location and a angle of this geographical meridian line displayed on the screen of the handset; the handset determines the direction from the current location to the target location according to geographical information of the current location and that of the target location, determines an included angle between this direction and the geographical meridian line. According to the included angle and that of the geographical meridian line displayed on its screen, the handset determines the direction displayed on the screen of the handset from the current location to the target location, and displays the direction of the target location on the screen according to the displayed direction.

Abstract: An operation method of peripheral device includes setting up connection of peripheral device to host, directly loading firmware of said peripheral device from said host, and operating said firmware by said peripheral device. The requirement of the peripheral device to non-volatile memory capacity is decreased. By pre-storing the firmware of the peripheral device in the host, the requirement of the peripheral device to non-volatile memory capacity is decreased. And it is not necessary to download the firmware in the non-volatile memory frequently when producing and debugging the peripheral device. Only loading the firmware of the peripheral device from the host directly is needed, and the efficiency is improved.