Automatic Facial Makeup Machine Feature Point Mapping
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Solution Overview
Problem
Users face challenges in achieving a desirable makeup effect due to varying levels of makeup proficiency and discrepancies between simulated and actual makeup results, as existing technologies rely on manual application and lack accurate automatic control for cosmetics application.
Innovation Solution
An automatic facial makeup method that receives a makeup template with defined areas and instructions, maps feature points to a user's facial image, and controls a makeup machine to apply cosmetics accurately based on the template, ensuring a closer match between the simulated and actual makeup effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual makeup application is used, then user can practice makeup skills, but makeup effect consistency between simulation and reality is poor
Solution Approach 1:
The patent replaces manual mechanical makeup application with an automated makeup machine that uses a nozzle to apply makeup preparations. The system substitutes human hands and skills with automated control mechanisms, including feature point mapping technology that digitally maps facial features to guide precise makeup application, thereby achieving consistent results between simulation and reality.
Solution Approach 2:
The patent creates a digital copy of the user's facial features through feature point mapping, where key facial landmarks are identified and mapped to create a digital model. This digital copy is then used to guide the automated makeup application, ensuring that the makeup effect matches the simulated appearance by replicating the intended design on the actual face.
2Manufacturing precision
If automated makeup machine is used, then makeup application precision is improved, but system complexity increases
Solution Approach 1:
The patent introduces a control unit as an intermediary that coordinates between the photographing apparatus, feature point mapping module, and makeup component. This central controller simplifies the overall system architecture by managing all operations through a single coordination point, reducing the complexity that would otherwise arise from direct connections between multiple components.
Solution Approach 2:
The patent replaces complex mechanical positioning systems with digital image processing and feature point mapping technology. Instead of using mechanical guides or templates, the system uses digital coordinates derived from facial feature detection to control the makeup application, thereby achieving high precision with reduced mechanical complexity.
Data Source
AI summary
An automatic facial makeup method includes receiving a makeup template, wherein the makeup template comprises a plurality of defined areas and a plurality of makeup instructions relating to application of at least one makeup to the plurality of defined areas, and wherein each of the plurality of defined areas is defined by a plurality of first feature points. A facial image comprising a facial block is received, wherein the facial block corresponds to a facial region depicted in the facial image. Makeup areas in the facial block are defined by mapping, for each of the plurality of defined areas, first feature points to second feature points in the facial block, wherein each second feature point has a same relative position on the facial block as a corresponding first feature point. A makeup component performs a makeup operation according to each makeup instruction on the makeup area corresponding to each makeup instruction.