Abstract: A method, an apparatus, and a medium for determining a pose are provided. The method includes: receiving a query image sent by a terminal and N text fields included in the query image; determining a candidate reference image based on a prestored correspondence between a reference image and a text field and based on the N text fields; determining an initial pose of the terminal at the first location based on the query image and the candidate reference image; and sending the initial pose to the terminal. According to the method, a candidate reference image is queried based on a text field, and an initial pose of a terminal is obtained based on a candidate reference image with higher accuracy. Therefore, the obtained pose is more accurate.

Abstract: A visual localization method includes obtaining an image captured by a terminal device; obtaining two-dimensional line feature information of the image that includes at least one of information about a boundary between a building and a non-building or information about a boundary between a non-building and a non-building; and determining a localization pose of the terminal device based on location information of the terminal device, magnetometer angle deflection information of the terminal device, a satellite map, and the two-dimensional line feature information.

Abstract: A pose determining method, which may be applied to the field of photographing and image processing, includes: obtaining a target image, where the target image includes a target parking space mark and a target parking space line, and a target parking space corresponding to the target parking space mark includes the target parking space line; and determining pose information based on the target parking space mark and the target parking space line. The pose information indicates a corresponding pose of a terminal during photographing of the target image. According to the pose determining method, the pose information may be determined based on the target parking space mark and the target parking space line, to implement positioning.

Abstract: A method, an apparatus, and a medium for determining a pose are provided. The method includes: receiving a query image sent by a terminal and N text fields included in the query image; determining a candidate reference image based on a prestored correspondence between a reference image and a text field and based on the N text fields; determining an initial pose of the terminal at the first location based on the query image and the candidate reference image; and sending the initial pose to the terminal. According to the method, a candidate reference image is queried based on a text field, and an initial pose of a terminal is obtained based on a candidate reference image with higher accuracy. Therefore, the obtained pose is more accurate.

Abstract: The present invention relates to a delivery system for nucleic acid using a cationic polymer conjugate, and more specifically relates to a delivery system for nucleic acid comprising a cationic polymer conjugate prepared by conjugating hyaluronic acid or its derivative and polyethyleneimine, and a composition of delivering a nucleic acid into mammalian cell comprising a complex of the nucleic acid and a cationic polymer conjugate with electrostatic binding.

Abstract: The present invention relates to a delivery system for nucleic acid using a cationic polymer conjugate, and more specifically relates to a delivery system for nucleic acid comprising a cationic polymer conjugate prepared by conjugating hyaluronic acid or its derivative and polyethyleneimine, and a composition of delivering a nucleic acid into mammalian cell comprising a complex of the nucleic acid and a cationic polymer conjugate with electrostatic binding.

Abstract: A statistical facial feature extraction method is disclosed. In a training phase, N training face images are respectively labeled n feature points located in n different blocks to form N feature vectors. Next, a principal component analysis (PCA) technique is used to obtain a statistical face shape model after aligning each shape vector with a reference shape vector. In an executing phase, initial positions for desired facial features are firstly guessed according to the coordinates of the mean shape for aligned training face images obtained in the training phase, and k candidates are respectively labeled in n search ranges corresponding to above-mentioned initial positions to obtain kn different combinations of test shape vectors. Finally, coordinates of the test shape vector having the best similarity with the mean shape for aligned training face image and the statistical face shape model are assigned as facial features of the test face image.

Abstract: A statistical facial feature extraction method is disclosed. In a training phase, N training face images are respectively labeled n feature points located in n different blocks to form N feature vectors. Next, a principal component analysis (PCA) technique is used to obtain a statistical face shape model after aligning each shape vector with a reference shape vector. In an executing phase, initial positions for desired facial features are firstly guessed according to the coordinates of the mean shape for aligned training face images obtained in the training phase, and k candidates are respectively labeled in n search ranges corresponding to above-mentioned initial positions to obtain kn different combinations of test shape vectors. Finally, coordinates of the test shape vector having the best similarity with the mean shape for aligned training face image and the statistical face shape model are assigned as facial features of the test face image.