Abstract: The present invention provides a method and device for acquiring a similar human face picture and acquiring information about a human face picture. It mainly relates to the field of Internet technology, and mainly aims to provide the user a similar human face picture including a similar person when a similar picture is provided. The method comprising: acquiring a human face picture specified by a user; conducting human face identification to the human face picture to identify a similar human face picture of the human face picture from human face pictures that have already been collected; and displaying the similar human face picture to the user.

Abstract: The present invention provides a method and device for acquiring a similar human face picture and acquiring information about a human face picture. It mainly relates to the field of Internet technology, and mainly aims to provide the user a similar human face picture including a similar person when a similar picture is provided. The method comprising: acquiring a human face picture specified by a user; conducting human face identification to the human face picture to identify a similar human face picture of the human face picture from human face pictures that have already been collected; and displaying the similar human face picture to the user.

Abstract: Disclosed are matching image searching method, image searching method, image matching method and devices thereof. The matching image searching method comprises: extracting local features from a to-be-queried image; matching local features of each images in an image database with the local features of the to-be-queried image, determining a matching proportion thereof; disposing images of which the matching proportion larger than or equal to a first proportion threshold value in the image database into an image matching result; and for images having matching proportion less than the first proportion threshold value and larger than a second proportion threshold value in the database, calculating hamming distance between perceptual hashing value of the images and a perceptual hashing value of the to-be-queried image, and disposing images having hamming distances less than a set first distance threshold into the image matching result.

Abstract: The invention provides a human face similarity recognition method and system, which relate to the field of computer technologies and are used for recognizing similar human face pictures accurately. The human face similarity recognition method comprises: generating a feature vector of a target human face picture according to features of the target human face picture; generating feature vectors of collected human face pictures according to features of the collected human face pictures; and selecting from the collected human face pictures at least one human face picture of which the feature vector has the minimum distance to the feature vector of the target human face picture as a similar human face picture of the target human face picture. The invention is beneficial to recognition of different pictures of the same human face which have a difference in expression, makeup or face angle, etc.

Abstract: Disclosed are an image-based image identification method, system, equipment and device, the method comprising: extracting to-be-identified image information inputted by a user in an image identification field; transmitting a request carrying the to-be-identified image information to an image engine server; and receiving and displaying related information of other image resources matching the to-be-identified image information returned by the image engine server. In an embodiment of the present invention, the request is transmitted to an image engine server according to the obtained to-be-identified image information, and, according to the to-be-identified image information, the image engine server searches for the related information of other image resources matching the to-be-identified image information, thus realizing image identification based on image information, enlarging the application range of image identification, and facilitating use.