The invention discloses an image symmetry axis detection method based on edge line matching The method comprises the following steps: extracting an edge line of a to-be-detected image, and processing the edge line; calculating image matching edge lines; determining matching points of the image matching edge lines, and calculating a matching point set of each line in the matching edge lines; performing reflection transformation on the edge lines to obtain to-be-matched curves; and calculating matching points of the matching point set and the to-be-matched curves under translation rotation transformation, and determining an image symmetry axis through the matching points By adoption of the image symmetry axis detection method disclosed by the invention, the image symmetry axis can be well detected, and the detection efficiency is relatively high

Image symmetry axis detection method based on edge line matching

The invention discloses a scenery image processing method and device, computing equipment and a computer storage medium. The scenery image processing method comprises the steps of acquiring a to-be-processed scenery image containing a specific object; performing scene segmentation processing on the to-be-processed scenery image to obtain a foreground image in allusion to the specific object; drawing a scenery content effect map corresponding to the subject content of the foreground image; and performing fusion processing on the scenery content effect map and the foreground image to obtain a processed scenery image. The scenery image processing method adopts a deep learning method and accomplishes scene segmentation processing with high efficiency and high accuracy. The scenery image processing method can add a beautification effect for a scenery area of an image accurately and quickly, and improves the display effect of pictures.

Scenery image processing method and device, computing equipment and computer storage medium

The invention discloses a deep learning and SVM based expression recognizing method of a hepatolenticular degeneration patient. The method comprises the following steps: detecting an inclined face image, and rotating to correct; cutting areas with rich expression distribution; processing the expression images by histogram balancing, and improving the image contrast; scanning the local texture property of the face image by calculating local binary pattern (LBP) to obtain area property vectors; performing dimensionality reduction on the area property vector through a linear transformation matrixby the PAC algorithm to obtain low-dimensionality Gabor property vector; and classifying the expression through an SVM. According to the method, the face recognizing technology and the patient disease evaluation and recovery are organically combined; the automatic dyslexia assessment and recovery with computer support are realized. Therefore, doctors are assisted to diagnose and treat; the patient can diagnose by self; and as a result, extreme help is provided to patient to find the diseases and timely control the disease development.

Deep learning and SVM based expression recognizing method of hepatolenticular degeneration patient

The embodiment of the invention provides a game implementation method and device, a storage medium and electronic equipment The game implementation method comprises the following steps: according toobtained human body information, establishing a first human body model; when a detection result shows that a game is started, according to a virtual figure model in a game, zooming in or out the firsthuman body model to obtain a second human body model; replacing the virtual figure model in the game with the second human body model; obtaining a decorating part of the virtual figure model in the game, and adding the decorating part to the second human body model In the game implementation method, the human body model of a reality figure can be combined with the game, in addition, the decorating part configured for the virtual figure model in the game can be added to the human body model of the reality figure, so that the figure model in the game is vivid, and the authenticity of the gameis improved

Game implementation method and device, storage medium and electronic equipment

The invention provides a game control method and device applied to a mobile terminal and the terminal. The game control method includes the steps that game control actions set by a user and corresponding control instructions are obtained; characteristic data corresponding to the game control actions is extracted, and the characteristic data and the control instructions corresponding to the game control actions are correspondingly stored in a preset database; game control actions issued by the user are obtained, and target characteristic data corresponding to the game control actions is extracted; target game control actions are selected from the database according to the target characteristic data, wherein the similarity between characteristic data corresponding to the target game controlactions and the target characteristic data is highest; control instructions matched with the target game control actions are searched for in the database, and are executed. According to the game control method and device applied to the mobile terminal and the terminal, user definition is permitted, complex and expensive somatosensory equipment and virtual equipment do not need to be used, and thegame control method and device have the remarkable advantages of being high in cost performance and flexibility.

Game control method and device applied to mobile terminal and terminal

The invention relates to a face recognition game interactive system, and belongs to the technical field of man-machine interaction. An output end of a camera is connected with an input end of a face recognition module through a data line, and the face recognition module is connected with a chartlet processing module through a face image interface; the camera collects the image of a user when the game is operated; the face recognition module analyzes the obtained image of the user, processes the image via a face segmentation method based on face symmetry, determines a face range of the user and obtains a face image of the user; and the chartlet processing module is used for laminating the face, carrying out feature recognition, central alignment and correction and image zoom lamination on the face image via a face image lamination algorithm and laminating the obtained face image of the user on a face model of a game role. No virtual reality device is necessary, so the cost is low; and the discomfort of a player caused by the first person visual angle is avoided. The face of the game role is the face of the player, the interaction has better sense of substitution, and the game interest is improved.

Face recognition game interactive system

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Face recognition game interactive system