Abstract: The present disclosure provides a photo-taking prompting method and apparatus, an apparatus and a non-volatile computer storage medium. On the one hand, a user's image information is collected while the user finds view, then the user's face posture information is obtained from the image information, then face posture information of a preset photo-taking template is compared with the user's face posture information, and the user is prompted to adjust the face posture according to a comparison result. The technical solutions provided by embodiments of the present disclosure may implement prompting the user's face posture adjustment while the user finds view and thereby implement providing guidance for the user's face posture, and solve the problem in the prior art about failure to perform photo-taking guidance while the user finds view.

Abstract: The present disclosure discloses a method and apparatus for human face image processing. A specific embodiment of the method comprises: locating facial feature points in a human face image, extracting an image of a human face region according to a range defined by the facial feature points, transforming a facial image of the source image according to a face shape of the target image, transforming the facial image of the source image according to a complexion distribution of a facial region of the target image, and obtaining a new human face by combining the facial image of the source image and a facial image of the target image. The embodiment achieves a facial image processing with higher similarity to the user in the image, of simple steps, small calculation and high real-time performance.

Abstract: The present disclosure discloses a method and apparatus for human face image processing. A specific embodiment of the method comprises: locating facial feature points in a human face image, extracting an image of a human face region according to a range defined by the facial feature points, transforming a facial image of the source image according to a face shape of the target image, transforming the facial image of the source image according to a complexion distribution of a facial region of the target image, and obtaining a new human face by combining the facial image of the source image and a facial image of the target image. The embodiment achieves a facial image processing with higher similarity to the user in the image, of simple steps, small calculation and high real-time performance.

Abstract: The present disclosure provides a photo-taking prompting method and apparatus, an apparatus and a non-volatile computer storage medium. On the one hand, a user's image information is collected while the user finds view, then the user's face posture information is obtained from the image information, then face posture information of a preset photo-taking template is compared with the user's face posture information, and the user is prompted to adjust the face posture according to a comparison result. The technical solutions provided by embodiments of the present disclosure may implement prompting the user's face posture adjustment while the user finds view and thereby implement providing guidance for the user's face posture, and solve the problem in the prior art about failure to perform photo-taking guidance while the user finds view.

Abstract: An apparatus includes a unit configured to acquire an object shape regression model, which comprises an average object shape, a plurality of regression functions and a plurality of feature selection maps; a unit configured to set an initial object shape for the object image based on the average object shape; a unit configured to calculate at least one feature vector with respect to a plurality of feature points; a unit configured, for each coordinate of the plurality of feature points, to select feature fragments from the calculated feature vector based on a corresponding one of the plurality of feature selection maps and assemble the feature fragments into a sub feature vector; and a unit configured, for at least one coordinate of at least one feature point, to predict a coordinate increment based on the corresponding sub feature vector and a corresponding one of the plurality of regression functions.

Abstract: An apparatus includes a unit configured to acquire an object shape regression model, which comprises an average object shape, a plurality of regression functions and a plurality of feature selection maps; a unit configured to set an initial object shape for the object image based on the average object shape; a unit configured to calculate at least one feature vector with respect to a plurality of feature points; a unit configured, for each coordinate of the plurality of feature points, to select feature fragments from the calculated feature vector based on a corresponding one of the plurality of feature selection maps and assemble the feature fragments into a sub feature vector; and a unit configured, for at least one coordinate of at least one feature point, to predict a coordinate increment based on the corresponding sub feature vector and a corresponding one of the plurality of regression functions.

Abstract: A method for detecting a plurality of object regions in an image, wherein the plurality of object regions having similar specific structural features, comprises: an estimation step for estimating a common initial value for the specific structural features of the plurality of object regions; and a determination step for determining, for each of the plurality of object regions, a final value for the specific structural feature of the object region and a final position thereof separately based on the estimated common initial value.

Abstract: A method for detecting a plurality of object regions in an image, wherein the plurality of object regions having similar specific structural features, comprises: an estimation step for estimating a common initial value for the specific structural features of the plurality of object regions; and a determination step for determining, for each of the plurality of object regions, a final value for the specific structural feature of the object region and a final position thereof separately based on the estimated common initial value.