Patents
Literature
Patsnap Copilot is an intelligent assistant for R&D personnel, combined with Patent DNA, to facilitate innovative research.
Patsnap Copilot

273 results about "Facial contour" patented technology

Face image relighting method

The invention discloses a face image relighting method, which comprises the steps of: performing face recognition on a two-dimensional face image, and acquiring two-dimensional feature points; performing face three-dimensional reconstruction according to the two-dimensional feature points and three-dimensional face model data, and generating a three-dimensional grid of a three-dimensional face image; carrying out local illumination rendering on the three-dimensional grid according to the illumination rendering parameters and a pre-established illumination model, and generating a first two-dimensional face illumination mapping graph; and performing skin color detection on the two-dimensional face image, and acquiring a two-dimensional face image skin color probability value; performing non-skin-color region protection on the first two-dimensional face illumination mapping graph according to the skin color probability value, so as to obtain a second two-dimensional face illumination mapping graph; carrying out edge extension on a facial contour of the second two-dimensional face illumination mapping graph, so as to obtain a third two-dimensional face illumination mapping graph; and subjecting the third two-dimensional face illumination mapping graph and the two-dimensional face image to relighting fusion, and generating a lighting result map. The face image relighting method provided by the invention is simple, feasible, fast and efficient, and is high in user controllability.
Owner:CHENDU PINGUO TECH

Fully-automatic face seamless synthesis-based video synthesis method

The invention provides a fully-automatic face seamless synthesis-based video synthesis method. With the fully-automatic face seamless synthesis-based video synthesis method adopted, insufficient real-time property in high-definition video processing of a face detection algorithm in the prior art can be solved. The fully-automatic face seamless synthesis-based video synthesis method of the invention comprises the following steps that: a video communication application provided by an intelligent television terminal is utilized to perform video connection; an image or video file which is locally arranged or arranged in a cloud server is adopted as a background (BG) to be synthesized; face detection is respectively performed on data foreground (FG) and background (BG) data which are acquired by a camera through using the face detection algorithm, and geometric transformation coefficients are calculated through face internal key point positioning and facial contour lines or a face minimum bonding rectangle frame; and accurate registration from the foreground (FG) to the background (BG), and face region data synthesis can be accomplished. With the fully-automatic face seamless synthesis-based video synthesis method of the invention adopted, the face image of a user can be conveniently synthesized into any existing images or videos in the process of video communication, and therefore, a sense of science and technology and interestingness can be added in the video communication, and fully-automatic seamless face synthesis of non-specific people can be realized.
Owner:易视星空科技无锡有限公司

Ion beam figuring processing method for aspheric surface processing

The invention discloses an ion beam figuring processing method for aspheric surface processing, comprising the following steps of: firstly, detecting and testing to acquire a facial-contour error distribution data R and a removal function P; then, establishing an ion beam figuring processing path, and measuring and calculating incident angles phi of various points of an optical curved surface; calculating a resident time density function and a material removal amount M by using a calculation model and a resident time iterative algorithm, and calculating the resident times of ion beams in all processing points; carrying out linear triaxial-linkage numerical-control figuring processing on the optical surface of an optical element to be processed according to the established processing path and the resident time; then, carrying out facial-contour error detection, correcting the P according to the M and the facial-contour error distribution data before and after the processing, repeating the previous steps by using the corrected removal function P for iterative processing, and ending the processing till the requirement for facial-contour convergence precision is met. The processing method provided by the invention has the advantages of good stability, high processing precision, strong controllability and low requirement for equipment.
Owner:NAT UNIV OF DEFENSE TECH

Human face fake photo automatic combining and modifying method based on portrayal

The invention discloses a human face fake photo automatic combining and modifying method based on a portrayal. The method comprises the following steps: firstly, automatically generating initial estimation of a fake photo by applying a partial intrinsic transform method; then, extracting hair and facial contour information from an input human face portrayal, and carrying out automatic enhancement on the initial estimation; finally, judging whether partial combining errors exist in the automatically-combined human face fake photo by a user, and if obvious combining errors exist, carrying out local deformation on a corresponding human face of the re-input fake photo by adopting a deformation method based on control points, then carrying out automatic combination again, and therefore modifying the partial combining errors. In a modifying process, an active shape model is used for obtaining the feature points of the human face portrayal, and rigid deformation based on the control points is carried out by using a least square method. The human face fake photo automatic combining and modifying method based on the portrayal can automatically combine a human face fake photo fast and effectively according to the input human face portrayal, and can provides assistance for manual and automatic identification of human face sketch portrayals in criminal investigation, anti-terrorist and other fields.
Owner:北京中昊诚科技有限公司

Classifying and processing method based on active shape model and K nearest neighbor algorithm for facial forms of human faces

The invention relates to a classifying and processing method based on an active shape model and a K nearest neighbor algorithm for facial forms of human faces; the method comprises the following steps of: (1) a sample database in the K nearest neighbor algorithm is established; (2) a user uploads images to be measured to a server through a network multi-media terminal, and the server extracts characteristic points of the human faces from the image to be measured by adopting an ASM (Automated Storage Management) algorithm and determines facial contours by selecting the characteristic points of the faces and lower jaws; (3) the server carries out normalization processing on point sets of the images to be measured according to a sample normalization method and integrates the point sets of the images to be measured and point sets of samples in a coordinate system; (4) the server classifies the images to be measured based on the Hausdorff distance and the K nearest neighbor algorithm to obtain a classifying result; and (5) the server automatically sends the classifying result to a network multi-medium terminal; and the network multi-medium terminal displays the classifying result. Compared with the prior art, the classifying and processing method has the advantages of high recognition rate, fast speed, easy implementation and the like.
Owner:SHANGHAI YEEGOL INFORMATION TECH

Smart classroom student management method and device and computer storage medium

ActiveCN109977903AReal-time reflection of whether the attention is concentratedObjective and Accurate EvaluationData processing applicationsAcquiring/recognising eyesResonancePupil
The invention discloses an intelligent classroom student management method. The method comprises the steps of capturing the face information of a student through a camera, arranging a resonance imaging diode around the camera, enabling the camera to emit the invisible infrared rays with different wavelengths, carrying out the face optical recognition on the student by capturing the intensity of the reflected light caused by face blood flow of the student, and obtaining the physiological information of the student; capturing the student face information through the camera, determining the eye positions through an eye positioning technology in face recognition, and capturing the blinking actions; judging whether the student is in an attention concentration state or not by detecting the eye opening and closing state of the student, and judging whether the student is in a front view state or not by measuring the proportion of the facial contours or pupils; carrying out the mathematical analysis on the face information, collected by the camera, of the student, and judging the attention concentration state of the student; and displaying the attention concentration state of all students at a teacher control terminal.
Owner:珠海读书郎网络教育有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products