Abstract: An information processing method comprises: acquiring an original webpage; parsing the original webpage to determine a set of candidate images; detecting whether at least one candidate image in the set of candidate images contains a face; determining a target face from at least one detected face, and determining a candidate image corresponding to the target face as a target image; analyzing the target face to obtain at least one content feature of the original webpage, wherein the at least one content feature includes at least one of a face attribute feature and a personal identity feature; determining display contents matching the at least one content feature based on the at least one content feature; inserting the display contents into a target area corresponding to the target image in the original webpage in a form of a dialog box to acquire a target webpage; and outputting the target webpage.

Abstract: A method, a device and a computer program product for determining a geographical location of a user are disclosed. The method comprises: extracting characters or icons in an image taken at a place where the user is located; analyzing the extracted characters or icons to determine a meaning of the characters or the icons; and determining the geographical location of the user based on the meaning of the characters or the icons. With the method, the device and the computer program product, the geographical location of the user may be accurately determined in various scenarios.

Abstract: The application provides a liveness detection method capable of implementing liveness detection on a human body, and a liveness detection system that employs the liveness detection method. The liveness detection method comprises: obtaining video data acquired via a video acquisition module; determining, based on the video data, a feature signal of an object to be detected; judging whether the feature signal meets a first predetermined condition, and if the feature signal meets the first predetermined condition, identifying that the object to be detected is a living body, wherein the feature signal is indicative of eye movement of the object to be detected.

Abstract: The application provides a liveness detection method capable of implementing liveness detection, and a liveness detection system that employs the liveness detection method. The liveness detection method comprises: irradiating an object to be detected with structured light; obtaining first facial image data of the object to be detected under irradiation of the structured light; determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected; and determining, based on the detection parameter and a predetermined parameter threshold, whether the object to be detected is a living body.

Abstract: Provided are an image processing method and a client device, an image authentication method and a server device. The image processing method comprises: photographing an object to obtain a first image; sending a key acquiring request to a server and receiving a key from the server; generating a second image based on the key and the first image; and sending the second image to the server. The image authentication method comprises: receiving a key acquiring request from a client; generating a key and sending the key to the sever in response to the key acquiring request; receiving an image for authentication from the client; and authenticating the image for authentication by using the key.

Abstract: There are provided a liveness detection method and device. The liveness detection method comprises: generating a random action instruction sequence including at least one random action instruction; sequentially sending a random action instruction in the random action instruction sequence; and determining whether the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by a living body based on detection information of at least two sensors, wherein the at least two sensors comprise an image sensor and at least one non-image sensor; and determining that the liveness detection is succeeded if the sequentially sent random action instruction in the random action instruction sequence is sequentially executed by the living body. Accuracy of liveness detection can be improved by adopting the random action sequence and by combining images captured by the image sensor and information detected by the non-image sensor.

Abstract: There are provided a focusing point determining method and apparatus. The focusing point determining method comprises: obtaining a view-finding image within a view-finding coverage; identifying a significance area in the view-finding image; and extracting at least one focusing point from the identified significance area. By identifying the significance area in the view-finding image and extracting at least one focusing point from the identified significance area, the focusing point determining method and apparatus can ensure accuracy of a selected focusing point to a certain extent, so as to ensure accuracy of focusing.

Abstract: A method and an apparatus for measuring a speed of an object are provided, the method comprising: acquiring, for each image frame of at least two image frames in an image sequence, image information of the image frame, wherein the image information comprises depth information; detecting at least one object in the image frame based on the depth information to obtain an object detection result for the image frame; tracking the at least one detected object based on the object detection result of each of the at least two image frames to obtain an object tracking result; and calculating the speed of the at least one detected object based on the object tracking result and a time difference between the at least two image frames.

Abstract: There is provided a method and an apparatus for authenticating a liveness face, and a computer program product thereof. The method for authenticating a liveness face may comprises: generating a character string randomly and showing the same to an object to be authenticated; recognizing facial actions of the object to be authenticated; determining whether the facial actions match with pronunciation of the character string to obtain a first determination result; and judging whether the object to be authenticated is a liveness face based on the first determination result.

Abstract: A method, system and computer program product for recognizing a face are provided, comprising: acquiring an image for the face; detecting a set of first feature points representing detail features of the image; extracting, for each first feature point in the set of first feature points, a first descriptor describing feature information on the first feature point; acquiring, for each second feature point in a set of second feature points, a second descriptor describing feature information on the second feature point; detecting matched feature point pairs between the set of first feature points and the set of second feature points, based on the first descriptor and the second descriptor; calculating the number of the matched feature point pairs; and recognizing the image as being consistent with the registered image, if the number of the matched feature point pairs is larger than a first preset threshold.

Abstract: Provided are a driving assistance information generating method and device, and a driving assistance system, which relate to a field of vehicle driving assistance technique. The driving assistance information generating method comprises: obtaining a depth image acquired by a depth camera and a scene image acquired by an imaging camera, the depth camera and the imaging camera being mounted on a vehicle in a manner of being registered and matched with each other, and a coverage of the depth camera and a coverage of the imaging camera being at least partially overlapped; detecting positions of respective objects appearing in the scene image by using the depth image and the scene image; and generating driving assistance information of the vehicle based on positions of the respective objects.

Abstract: A picture management method and device, a picture synchronization method and device are disclosed. The picture management method can be applied to a client device, and comprises: receiving picture tags generated by a server device performing an image analysis based on original picture features received by the server device, the original picture feature being an original picture itself or original picture parameter(s); and classifying and archiving the original pictures represented by the original picture features according to the picture tags.

Abstract: A method and apparatus for detecting a movement direction of a target object are provided. The method comprises: acquiring a video sequence of the target object, and determining positions of the target object in a plurality of image frames of the video sequence; setting a plurality of base vectors within a coverage range of an image collection apparatus capturing the video sequence, wherein an angle between each of the base vectors and a reference vector set according to a specific scene being captured satisfies a predetermined condition; for each of the base vectors, determining a movement direction of the target object between each pair of adjacent image frames with respect to the base vector, and determining a general movement direction of the target object with respect to the base vector thereby; determining a movement direction of the target object according to the general movement directions of the target object.

Abstract: A method for face recognition in the video comprises: performing feature extraction on a target face in multiple image frames in the video to generate multiple face feature vectors respectively corresponding to the target face in the multiple image frames; performing time sequence feature extraction on the plurality of face feature vectors to convert the plurality of face feature vectors into a feature vector of a predetermined dimension; and judging the feature vector of the predetermined dimension by using a classifier so as to recognize the target face.

Abstract: A method for obtaining images for three dimension (3D) reconstruction comprises: controlling brightness of each of at least two light sources which are spatially separated from each other to be changed periodically, wherein, among the at least two light sources, there is at least one light source having a period of brightness change different from those of the other light source(s), or the periods of the brightness change of the at least two light sources are the same, but among the at least two light sources, there is at least one light source having a phase of the brightness change different from those of the other light source(s); and using at least three cameras having different spatial positions to capture the images for the 3D reconstruction, respectively, wherein, among the at least three cameras, there is at least one camera starting exposure at a different time from the other cameras.

Abstract: Provided are a liveness authentication method and apparatus. The method comprises: filtering out light of a first predetermined waveband from incident light incident to a first area; detecting an intensity of the filtered light as a first light intensity; and determining that a liveness authentication is failed in the case that the first light intensity satisfies a predetermined condition. The liveness authentication is performed through determining whether the incident light is cold light. In the case that the incident light is light emitted from a liquid crystal display screen, it is determined that the incident light is the cold light, and it is determined that the liveness authentication is failed.

Abstract: The application relates to a video detection method, a video detection system, and a computer program product, which can implement liveness detection for a human body. The video detection method comprises: obtaining video data acquired by a video data acquisition device; determining a to-be-detected object based on the video data; obtaining a to-be-detected signal corresponding to the to-be-detected object; and determining whether the to-be-detected signal is a liveness physiological signal, wherein the to-be-detected signal is a frequency domain signal corresponding to the video data of the to-be-detected object.

Abstract: Disclosed are a method and a system for authenticating liveness face, and a computer program product thereof, which belong to a field of face recognition technique. The method for authenticating liveness face comprises: generating a sequence of action instructions randomly; and determining a success of the authentication of the liveness face when face actions are determined to be matched with the sequence of action instructions sequentially. The authentication of the liveness face can be performed based on fine head actions, so that a cost for authenticating the liveness face is decreased, an accuracy of authentication of the liveness face is increased.

Abstract: An object detection method and an object detection apparatus are provided. The object detection method comprises: mapping at least one image frame in an image sequence into a three dimensional physical space to obtain three dimensional coordinates of each pixel in the at least one image frame; extracting a foreground region in the at least one image frame; segmenting the foreground region into a set of blobs; and detecting, for each blob in the set of blobs, an object in the blob through a neural network based on the three dimensional coordinates of at least one predetermined reference point in the blob, to obtain an object detection result.

Abstract: A liveness detection apparatus and a liveness detection method are provided. The liveness detection apparatus may comprise: a specific exhibiting device, for exhibiting a specific identification content; an image acquiring device, for acquiring image data of a target object to be recognized during the exhibition of the identification content; a processor, for determining whether there is a reflective region corresponding to the identification content in the acquired image data, determining a regional feature of the reflective region when there is the reflective region, to obtain a determination result, and recognizing whether the target object is a living body based on the determination result.